Student Handbook 2023/24
MSc/ PGDip/ PGCert
Health Data Science
Accredited CPD units in Health Data Science
Programme Director Matthew Sperrin
School of Health Sciences
The University of Manchester
Vaughan House
Portsmouth Street Manchester
M13 9GB
General Information
Introduction to the MSc Health Data Science
On behalf of all the team at University of Manchester, a warm welcome to the Health Data Science programme! The delivery of healthcare is changing rapidly, and to support this we need to make the best use of health data. This requires individuals who understand the healthcare sector, medicine and biology; how data is collected and analysed, and how this can be communicated to influecne various stakeholders – Health Data Scientists. This is what you can become when you complete this programme.
You will work with academics and practitioners from complementary fields to learn the health data science skills required by the healthcare, academic and industrial sectors. You will learn the skills necessary to make best use of healthcare related data to improve health and the economic efficiency of healthcare delivery. You will also learn skills in statistics and AI that will be applicable in all fields.
The staff involved in delivering this programme are world-leading experts in their fields, and are actively researching statistics, data engineering and AI, and focused on making sure that their research has a real impact in healthcare. They are all passionate about passing on their skills to you, and this will come across when you meet them during the course.
The programme emphasises a self-directed approach, and encourage participation and discussion between students and tutors through on-line discussion boards, collaborative exercises and face-to-face workshops. Sharing that knowledge and experience with your tutors and other students will significantly enhance what you get from the course.
We hope this handbook will provide you with most of the information you will require to progress with your studies. Every effort has been made to provide you with the most up-to-date and accurate information; however, some minor details might change during the course of your studies. All changes and additions will be brought to your attention. If you have any queries or comments, or would like to contact us for advice and guidance on any issues, please get in touch.
On behalf of The University of Manchester I wish you an enjoyable and successful time on the programme, and I look forward to meeting you!
Matthew Sperrin
Programme Director, September 2023
Introduction to the School
Welcome from the Director of Education
I am delighted to welcome you to the School of Health Sciences and the Faculty of Biology, Medicine and Health. We are extremely pleased you have chosen the University of Manchester to commence or continue your postgraduate study journey; whether you are progressing straight from your undergraduate studies, seeking to develop your knowledge/skills in your chosen career or, are bravely, taking a completely different direction in life.
In the pursuit of knowledge, wisdom and humanity, we will place you at the centre of a transformational learning process to support you to achieve your individual goals and aspirations. Our challenge to you is to embrace all of the opportunities available to you; be bold, think differently and realise your potential. We want your postgraduate journey with us to be intellectually stretching, rewarding and fun.
We are aware that most of you will need to juggle a number of competing priorities during your postgraduate taught studies. Some of you will already be in full time employment, while others will need to secure part time employment to fund your studies. We know that many of you will have family and caring responsibilities that will have to be prioritised before your own learning. We hope the information detailed in this programme handbook will help you in managing these competing commitments. Whether you are joining us on campus, or studying at a distance, you are an integral part of our School and University, and we are here to support you.
We are extremely proud of our postgraduate student community and alumni who are making a difference, both locally and globally. We look forward to working with you, confident that you too will play a role in transforming the lives of people who use health and social care services, whether during your studies or upon graduation.
I wish you every success in your postgraduate studies here at the University of Manchester.
Mr Andrew Mawdsley
Director of Education
School of Health Sciences
Contacts and communication
Head of School | Professor Andy Brass |
Centre Director | Professor John Ainsworth |
Programme Director | Matthew Sperrin |
Deputy Programme Director | Dr Juhi Gupta |
Programme admin and support:
(Please make sure you include your university ID number in any email sent to the admin or eLearning team – this will help us to respond to your enquiry more quickly) |
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Contact | Overview |
shs.hub@manchester.ac.uk
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shs.assessment@manchester.ac.uk
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shs.attendance@manchester.ac.uk |
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shs.dc@manchester.ac.uk |
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shs.mitcircs@manchester.ac.uk |
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shs.programmes@manchester.ac.uk |
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shs.wellbeing@manchester.ac.uk |
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elearning@manchester.ac.uk |
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A full staff list can be found in Appendix1.
This programme is managed and operated in accordance with the policies, principles, regulations and procedure of the University of Manchester. The programme committee reports and responds to the School, Faculty and University committees.
Communications
Good communication between the university and student is important for the smooth running of any course. The following section outlines the different options available and their recommended use.
Student e-mail
As a student of the University of Manchester you will be given your own student e-mail address during the registration process:
student.name@postgrad.manchester.ac.uk
All information and communication to students will only be sent to your student university e-mail address, and it is essential that any communications with tutors and the administration office are made via your university student e-mail address.
Any e-mails received from a non-university address will be replied to at the student’s university address. The reason for this is to ensure that students have a fixed e-mail account for the duration of the course and so do not miss out on important pieces of information, which may include group information sent to all students.
Instructions on how to access your student email can be found at https://www.itservices.manchester.ac.uk/email/student/
You can access your university e-mail account via MyManchester (http://my.manchester.ac.uk/) using your University login details.
You can sign up for your central account and obtain your username and password here https://iam.manchester.ac.uk/initial_login/overview and following the sign up process.
If you have forgotten your username or password, you can go through the account recovery process here:
https://iam.manchester.ac.uk/recovery_login/overview
Announcements in Blackboard
Programme Announcements will be made in the Programme Space and also communicated via email to your University email address. In addition, each course unit will have space for specific unit announcements.
My Manchester
From here you will be able to access many of the areas and sites that you use regularly,
e.g. Blackboard, your e-mail, the Student System and the library. You will be able to access this when you have set up your username and password at the following address:
https://my.manchester.ac.uk/
Tuition fees
Students should complete their financial registration in September 2023. This should be possible online or over the phone. You are responsible for doing this. Students who have not completed registration by 31st October risk a fine of £200.
Students who have not completed financial registration by the end of October may not receive their marks, and may face being withdrawn from the course. The University follows up all bad debts, a process that can affect your credit rating. Financial penalties may be applied if you do not complete registration by the dates specified on the Welcome website: https://www.welcome.manchester.ac.uk/get-ready/become-a-student/register-as-a-student/
All fee issues are dealt with by the Student Services Centre (SSC). Contact details for the SSC can be accessed via: http://www.studentsupport.manchester.ac.uk/finances/
Please note that you are responsible for any incidental costs of the course, e.g. travel, printing, internet charges etc.
Online registration
All part-time students need to re-register for each year that they study. This is usually done in September. This process is important as you will be required to re-register each year to update any personal details and pay your yearly fee. This will also allow you to gain access to the units for the next year. You will be sent an e-mail in August telling you about the details of re-registration.
Programme of Study
The current model of healthcare delivery worldwide is subject to unprecedented challenge. An ageing population, the impact of lifestyle factors and increasing cost mean that existing approaches are becoming unsustainable. This, coupled with a drive to personalised medicine, presents an opportunity for a step change in healthcare delivery. To do this we need to make best use of the health data we collect and to create a better understanding of the relationship between delivery, treatments, outcomes, patients and costs. This requires individuals who understand the healthcare sector, medicine and biology; how data is collected and analysed, and how this can be communicated to influence various stakeholders – Health Data Scientists (HDS).
This programme will train the people required to meet the challenges to the healthcare systems in the UK and worldwide. You will learn the skills necessary to make best use of healthcare related data to improve health and healthcare delivery.
On completion of the programme, successful students will demonstrate key competencies and have the skills to operate in the field (see box below).
The students will have knowledge and skills in:
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- a range of health information systems and technologies
- how to manage and analyse large scale data
- ethics and governance issues around health data
- statistical and machine-learning methods
- the healthcare context, processes and environment
- clinical and biological problems
- working in inter-disciplinary teams
The specific learning outcomes for the Postgraduate Programme are outlined below.
Aims |
01 Provide students with the key background knowledge and understanding of the healthcare system from the treatment of individuals to the wider population |
02 Train students to understand the governance structures and frameworks used when working with health data and in the healthcare sector |
03 Introduce key technical skills and software to work with and manipulate health data |
04 Emphasise the breadth and depth of the application methods and uses of health data to illustrate to students the potential use for health data. |
05 Comprehend key concepts and distinctions of the disciplines that need to be synthesised for effective health data science |
06 Provide an appreciation of the role of the health data scientist and how they fit in the wider healthcare landscape |
07 Embed the importance of patient-focused delivery and outcomes |
08 Equip students with in-depth knowledge, understanding and analytical skills to be able to work with health data effectively to improve healthcare delivery |
09 Equip students with a systematic and critical understanding of relevant knowledge, theoretical frameworks and analytical skills to |
10 Demonstrate a critical understanding of the challenges and issues arising from heterogeneous data at volume and scale, and turning them into insight for healthcare delivery, research and innovation. |
11 Develop a practical understanding of the skills, tools and techniques necessary to work with health data |
12 Apply practical understanding and skills to problems in health domain. |
13 Train students to be able to work in a multi-disciplinary community and communicate specialist knowledge of how to use health data to a diverse community. |
14 Evaluate the effectiveness of techniques and methods in relation to health challenges and issues addressed |
15 Enable students, through the systematic, in-depth, exploration of a specific area of practice and/or research to extend their knowledge, understanding and ability to contribute to the advancement of healthcare delivery knowledge, research or practice. |
A. Knowledge & Understanding |
Within the context of their chosen award students should: |
A1 Identify the social, political, regulatory, ethical, and technological aspects when working with health data and in the healthcare sector. |
A2: Demonstrate a critical understanding of the nature and value of different research approaches, designs and methods within the context of health data science research and practice. |
A3: Have knowledge and understand the development of healthcare systems and the range of utilised technologies |
A4: Appreciate and be able to discuss the range of uses of health and health-related data to address healthcare delivery problems. |
A5: Awareness of the national and international framework, strategies and policies |
A6: Understand the role of the health data scientist in different scenarios |
A7: Acquire knowledge of the history and current status of real-world clinical and public health problems |
A8 Identify and explain the use of appropriate data sources to address particular healthcare problems through having in depth knowledge of a range of health and health-related data sources and their characteristics |
A9 Understand widely used analytical and mathematical modelling methods to explore health and health-related data. |
A10 Know how to formulate a strategy to investigate a healthcare problem |
A11 Understand the range of visualisation techniques to display health/health-related data and select which are appropriate for different audiences |
A12 Have advanced knowledge of statistical and mathematical modelling to analyse health data |
A13 Understand how a health data scientist fits in the organisational/development/research processes |
A14 Systematically and critically examine hierarchies of research evidence that inform and underpin the use of health data to influence health service practice, design and development. |
A15 Consolidate, synthesise and critically apply the in-depth knowledge and understanding of relevant policy, literature, methodologies and technologies acquired through the taught components of the programme to the formulation of an extended research project relevant to a specific aspect of the use of health data. |
B. Intellectual Skills |
Within the context of their chosen award and pathway, students should be able to: |
B1 Appraise and synthesise information from a variety of sources in order to develop a coherent critical analysis of issues relating to application of health data. |
B2 Recognise problems and devise appropriate solutions |
B3 Translate knowledge and understanding obtained from other disciplines and make connections to healthcare problems |
B4 Critically analyse and summarise others and your own work and consider how it could have been done differently |
B5 Engage in a literature research strategy and be able to summarise key points |
B6 Consider critically a variety of established techniques and methods of research and enquiry and how they relate to the advancement of health care delivery and research. |
B7 Critically evaluate a range of possible options or solutions to address a sizable data application and present a soundly reasoned justification of a final recommendation |
B8 Translate ideas, practices, knowledge and understanding between academic disciplines in order to provide innovative solutions to unfamiliar problems |
B9 Demonstrate original independent thinking, and an ability to develop theoretical concepts |
B10 Justify the methodologies, techniques and decisions used in one’s own work |
B11 Engage in a systematic exploration of the literature, policy and research related to a specific area of health data science so as to demonstrate an in-depth understanding of the relationship between theory and practice. |
B12 Understand relevant research methodologies and techniques and their appropriate application to research |
C. Practical Skills |
Within the context of their chosen award and pathway, students should be able to: |
C1 Perform independent information acquisition and management |
C2 Devise and write computer programmes to solve problems |
C3 Draw on their knowledge and understanding of different approaches to research to
formulate appropriate questions and methods for research and/or evaluation into aspects of health data science |
C4 Utilise diverse data sources and select/implement a range of data analytical methods to provide insights into health data |
C5: Plan, execute and evaluate health data science research and projects |
C6: Work with appropriate programming languages and software to retrieve, organise and present health data sets. |
Additionally for the Masters |
C7 Organise and pursue a scientific research project in a specific aspect surrounding health data science |
D. Transferable Skills and Personal Qualities |
D1. Prepare, present and effectively communicate and defend complex ideas in documents and oral presentations to a range of audiences |
D2 Apply mathematical and statistical skills |
D3 Demonstrate research and enquiry skills by accessing and analysing literature in order to inform, research and develop strategies |
D4 Work co-operatively and effectively with others as a member of a team. |
D5 Reflect on their own academic performance and utilise strategies to improve these. |
D6 Use logical and systematic approaches to problem-solving and decision-making. |
D7 Work as an individual on a self-directed learning and research |
D8 Transfer knowledge, understanding and skills to a range of health and health- related settings |
D9 Manager resources and time effectively |
D10 Identify and access appropriate bibliographical resources, archives and other sources of relevant information to investigate a topic |
D11 Ability to make cross-disciplinary connections with other scientists and professionals |
D12 Show flexibility, open-mindedness, self-awareness, self-discipline, motivation and thoroughness to sustain a piece of research |
We offer one main award, the Master of Health Data Science (HDS), as well as a PG Diploma, a PG Certificates and stand-alone CPD units. The core requirements for these courses are different and are outlined below. However, students from all these courses choose their units from a common pool, use the virtual learning environment in the same way, and share the same online discussions.
A complete overview of the programme can be found in the Programme Specification
Philosophy of the programmes
All of the courses offered in this programme share the same philosophy.
Evidence: Developing skills in the collection, synthesis and implementation of evidence is central to this programme.
Skills: The programmes emphasize the acquisition of skills so that you can put into practice what you learn. Many Masters level courses teach attitudes and knowledge, while our emphasis will be more focused on the development of skills to use. These skills also translate into the ability to perform and appraise research projects as well
as developing the skills necessary to work in health informatics in the healthcare and industrial sectors.
Students will also be guided and encouraged to develop new and refine their existing communication skills. Clear, precise, well presented and referenced writing is essential for professional tools. Students will be required to present their assignments in styles which reflect models used in health data science and research. Students should access study skills materials for academic writing and presentation skills.
Self-directed study: The programmes encourage self-directed study around clearly rather than the provision of lectures or just web-based lecture notes.
Implications: The implications of emphasizing self-directed study and skills are that the course will largely involve active learning methods using case-scenarios, exercises, etc., in a problem-based approach. Hence, examples and exercises will use real-world examples from appropriate settings, for example from primary/secondary care, public health practice, etc.
The programmes include a visionary aspect, so course units will cover the latest developments in the field and horizon scan for new and emerging topics and policies.
Course Structure
The course runs on a modular basis and is available as a part-time or full-time course. For part-time students, there will be four units per year in year 1 and 2. In addition, the course units are also available for Continued Professional Development.
Method of Study and Course Units
The teaching will be delivered through face-to-face (in person) teaching and accompanied with e-learning material and problem-based learning.
There are 4 core units that are mandatory for all students to complete. For full-time students these will take place in semester 1. These units are ‘Introduction to Health Data Science’, ‘Fundamentals of mathematics and statistics for health data’, ‘Modern Information Engineering’ and ‘Statistical inference and modelling in health’.
In semester 2, full-time students will be able to choose 4 units from a total of 9 options that they wish to study in that semester. The options available are:
- Mathematical computing for medical imaging
- Digital Transformation
- Statistics for Randomised Controlled Trials
- Tutorials in Advanced Statistics
- Principles of Digital Biology
- Multi-Omics for Healthcare
- Machine Learning
- Decision Support Systems
- Introduction to Health Informatics
Any combination of these units can be selected, with the exception of ‘multi-omics for healthcare’ which requires the pre-requisite unit ‘Principles of Digital Biology’ to be taken before this unit.
You will be contacted to select your unit choices during semester 1. For part-time student please see the breakdown table for the choice
The dissertation unit is the final unit of the course, which takes place between May and early September for full-time students (part-time students will have 1 year to complete the dissertation). You will be conducting a Health Data Science research project supervised by an expert. You will be expected to attend regular meetings with your supervisors and feedback on your progress and dissertation write-up.
A list of available dissertation projects will be communicated to you to select your preference from. Or if you choose to propose your own project and have contacted a supervisor who is willing to supervise you, then please contact the unit leader to confirm this.
Timetable
Part-time Students:
Year 1 | Year 2 | Year 3 | ||
Semester 1 | Semester 2 | Semester 3 | Semester 4 | Up to 1 year |
Introduction to Health Data Science (15 credits) | Select 2 units (15 credits each) from a choice of 9 units. * **
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Fundamentals of mathematics and statistics for health data (15 credits) | Select 2 units (15 credits each) from a choice of 9 units. *
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Research project (60 credits) |
Modern Information Engineering (15 credits)
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Statistical inference and modelling in health (15 credits) |
*(Please note that ‘Principals of Digital Biology’ must be selected in order to study ‘multi-omics for healthcare’).
**The following units require pre-requisite units and therefore can not be taken in year 1 (‘Mathematical computing for medical imaging’, ‘Statistics for Randomised Controlled Trials’, ‘Tutorials in Advanced Statistics’, and ‘Machine Learning’)
Full-time Students:
Year 1 | ||
Semester 1 | Semester 2 | Semester 2/3 |
Health Information Systems and Technologies (15 credits) | Select 4 units (15 credits each) from a choice of 9 units. *
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Research project (60 credits) |
Modern Information in Engineering (15 credits) | ||
Fundamentals in Epidemiology (15 credits) | ||
Fundamental Mathematics and Statistics for Health Data (15 credits) |
HDS programme structure and course unit outline 2023/24
Students on the full-time programme will be required to sit all the above units over a 12 month period, as shown in the table above.
Course Units available in 23/24
Title | Code | Credit Rating | Mandatory/Optional |
Introduction to Health Data Science | IIDS67681 | 15 | Mandatory |
Modern Information Engineering | IIDS61302 | 15 | Mandatory |
Statistical Modelling and Inference for Health | IIDS67642 | 15 | Mandatory |
Fundamental Mathematics and Statistics for Health Data |
IIDS67631 |
15 |
Mandatory |
Tutorials in Advanced Statistics | IIDS67612 | 15 | Optional |
Principles in Digital Biology | COMP60532 | 15 | Optional |
Introduction to Health Informatics | COMP60542 | 15 | Optional |
Machine learning and advanced data methods | IIDS67682 | 15 | Optional |
Multi-omics for healthcare | IIDS | 68122 | Optional |
Design and Analysis of Randomised Controlled Trials | IIDS | 68112 | Optional |
Mathematical Computing for Medical Imaging | IIDS | 67462 | Optional |
Decision Support Systems | IIDS (UCL) | 61402 | Optional |
Digital Transformation Project | IIDS (UCL) | 61502 | Optional |
HDS Dissertation | IIDS | 67650 | Mandatory |
Details of all units can be found on MSc Health Data Science Unit Overview
You will also be attached to some skills based units at no extra cost. For further details regarding these resources, see section on Introductory courses.
Award Levels:
Postgraduate Certificate in Health Data Science
Total: 4 course units = 60 credits
Postgraduate Diploma in Health Data Science
Total: 8 course units = 120 credits
Master of Health Data Science
Total: 8 course units + HDS dissertation = 180 credits
- All 8 course units (120 credits)
- Dissertation/project (60 credits)
Academic partnerships
Health Data Science draws on skills in Computer Science, Medicine amongst others. Due to the nature of the field, units are drawn from elsewhere within the university. Research in the field at the University crosses these boundaries and this is also mirrored in the teaching. Units in Health Data Science are offered by School of Health Sciences and the School of Computer Science. You will need to contact the relevant administrator and eLearning for any administrative or eLearning issues.
Continuous/personal professional development (CPD)
We also welcome students who are taking single units for their own continuous professional development (CPD). They can choose from the same course units, except the dissertations, and they study in the same way as other students in the Blackboard learning environment.
You can take unlimited numbers of CPD units, but you are only able to use these credits towards a higher award under the AP(E)L (Accredited Prior Learning) regulations – i.e. AP(E)L will be permitted up to a maximum of 15 credits towards a Certificate award, 45 credits towards a Postgraduate Diploma award and up to a maximum of 60 credits towards a Masters award (See section on AP(E)L for further details regarding AP(E)L regulations.
Student Timetable 2023/24
All personal timetables will be available to each student on MyManchester. (http://my.manchester.ac.uk/).
Course Unit Delivery
The majority of the programme is delivered in a blended learning format (i.e. a combination of eLearning and face-to-face workshops).
Assignment submission
Please be aware of individual course unit assignment deadlines. Details of submission deadlines are available on the course unit eLearning space and by the unit leader.
Submission of assessed work
All assignments for Blackboard course units must be submitted electronically via Blackboard (Turnitin – plagiarism detection software – see section 5.1 for further details) on the date and time specified above. Please see instructions in your course unit assessment pages. Assignments e-mailed to tutors or administration will not be accepted.
The last time for all submissions is 12.00pm (noon) LOCAL UK TIME (this varies throughout the year as GMT or BST; see WorldClock).
Teaching, Learning & Assessment
Reading Materials
All reading material is accessed through the university online library or the internet.
Library Resources
The University of Manchester Library has one of the biggest collections in the country and students should make the fullest use of this facility. So it is essential that you familiarise yourself with how to access, journal articles, databases and e-books. For information on library resources, please visit The University of Manchester Library webpage. More details of how to improve off site access is given in Online Skills and Resources (see below for further information). If you experience any difficulty please contact us the e-learning team.
Referencing
All work provided for assessment at Masters level must be evidence based – based on the literature and research that a student has read to prepare their work. This evidence must be correctly referenced. In particular when students have a) used direct quotes or b) synthesised or paraphrased a section of text. The HDS programme requires students to use a referencing system such as the Harvard referencing system. Failure to reference correctly can lead you to be suspected of plagiarism. Guidance can be found on referencing in the programme online space.
AI and Large Language Models
The use of Artificial Intelligence (AI)
We urge students to be cautious when using a chatbot or AI tool within their learning. Chatbots and AI tools can be useful, but there are a number of risks associated with using them. Please ensure that you are aware of what is permissible use of AI for each assignment. You can utilise AI to generate ideas, key themes, and plan your assessment but not to write your assessment. Do not use AI to generate text, or partial text for use in your assessment unless the assignment brief explicitly states that this is permitted, otherwise use will be deemed academic malpractice. This is academic malpractice because the words and ideas generated are not your own and not an accurate reflection of your learning. Further to this, the words and ideas generated by the chatbot or AI tool may make use of other, human authors’ ideas without referencing them, which is plagiarism. Where a chatbot or other form of AI has been used, make sure you acknowledge that use. Information on how to cite can be found here: https://manchester-uk.libanswers.com/teaching-and-learning/faq/264824 Some units, for example those on AI and technology, permit the use of AI. However, they require you to sign a code of conduct which must be adhered to. Make sure you understand and follow these codes. If you are unclear on what is permissible, speak to the unit lead.
The arrival of large language models (LLMs) such as ChatGPT is disrupting how we teach and assess in fields like Health Data Science. Students should consider the following:
- Students may use LLMs for generating ideas, getting draft outlines for essays, and similar activities.
- Any use of LLMs should be acknowledged explicitly in your work.
- Remember that LLMs do not have an ‘understanding’ of the world, and they can ‘hallucinate’ – i.e., the outputs they produce need to be carefully checked for accuracy.
- Copying and pasting of text from the output of a LLM without attribution is considered academic malpractice (see below). Tools are now available that make this easy to detect.
- For further guidance on what is acceptable and unacceptable in the use of LLMs, please speak with the Programme Director.
As you will appreciate, this is a very fast developing field, so this guidance, and associated regulations, are liable to change. You will be informed if this happens.
Academic Malpractice
Academic malpractice is any activity – intentional or otherwise – that is likely to undermine the integrity essential to scholarship and research. It includes plagiarism, collusion, fabrication or falsification of results, and anything else that could result in unearned or undeserved credit for those committing it.
Academic malpractice can result from a deliberate act of cheating or may be committed unintentionally. Whether intended or not, all incidents of academic malpractice will be treated seriously by the University.
The procedures and penalties for dealing with academic malpractice are covered by the same regulation as apply to Conduct and Discipline of Students (Regulation XVII): http://documents.manchester.ac.uk/display.aspx?DocID=6530.
You are responsible for ensuring that you understand what academic malpractice is, and how to avoid committing it. If you are unsure, ask your lecturer or academic adviser.
The Faculty of Biology, Medicine and Health has developed a unit entitled “Understanding Academic Malpractice”. This unit should be completed by all postgraduate taught students and will allow you to test your understanding of what constitutes plagiarism and academic malpractice. The module is part of the Faculty Online Skills Training Resource (see PGT Online Skills Training Resource)). You can access the resource via Blackboard. Log in to My Manchester and click on the Blackboard tab. The online skills training resource will be listed under the My Communities heading (below your course units). The unit should be completed as soon as possible after you begin your programme, but must be completed before you submit your first piece of academic writing for assessment.
Guidance for students on plagiarism and other forms of academic malpractice can be found at here.
Other Information on Academic Malpractice and how to avoid it can be found at
www.regulations.manchester.ac.uk/academic
As this is a postgraduate course any suspicion of plagiarism or collusion must be referred directly to School level for investigation and possible penalty. On this course we report ALL students who are suspected of plagiarism, so please do not put yourself in the very uncomfortable position of being accused of plagiarism because of poor referencing. Ignorance is not accepted as an excuse. You are advised to carefully study the University’s guidance on the subject, which may be found via your Health Data Science programme Community space and via the links above.
The University uses electronic systems for the purposes of detecting plagiarism and other forms of academic malpractice and for marking. Such systems include TurnitinUK, the plagiarism detection service used by the University (please see Use of TurnItIn for more information).
Introductory Courses and PGT Online Skills Training Resource
Online Skills Training Resource
The Faculty has developed a skills training resource to support you through your postgraduate taught programme. This online material should supplement the assessed learning material and activities undertaken in your taught programme. Accessing the online skills resource You can access Blackboard through the My Manchester portal (http://my.manchester.ac.uk). The skills training resource is available in an academic community space available to all registered PGT students in the Faculty through Blackboard. If you cannot see these units in your Blackboard, please contact your Programme Administrator. Content Full details of all these resources can be found in the introduction to each unit. These resources have been designed to give you formative feedback on your progress through them. If you experience any problems and would like to talk to someone, please contact your Programme Director. If you have questions about referencing and how it applies to your own work, please contact your Programme Director or dissertation supervisor/unit lead.
Research Methods* | This course is spilt into 2 units that cover introductions to study design and dissertation skills. It has a number of online quizzes where you can test your knowledge. |
Introduction to Statistics* | The course provides a valuable foundation for understanding and interpreting biostatistics. It aims to provide you with the fundamentals of quantitative analysis. |
Presentation Skills | This short interactive unit is designed to help you enhance your presentation skills. Regardless of whether you are presenting in public, preparing for conferences, an oral examination or more informal settings this unit will give you the tops tips to improve your delivery. The course also includes a unit on influencing effectively, alongside the presentation and poster information. |
Qualitative Research Methods* | This unit has been designed to give you an introduction to Qualitative Research. |
* NOTE: the material in this online resource is for reference and formative learning purposes only. In some of your taught programme you may be required to undertake assessed course units for Research Methods, Qualitative Research or Statistics. If your programme involves taught units then you should refer to the Blackboard material relating to that course unit. Please contact your Programme Administrator if you are unsure which material relates to your assessed work. You will still be able to refer to the online skills resource in later years.
Non-credit bearing Introductory Course Units SHS60001
All students are automatically enrolled onto the SHS60001 unit that provides information on health and safety, academic malpractice and academic literacy. Completion instructions for each of these sections are clearly defined within the course. Completion of the academic malpractice and health and safety sections is mandatory for all students. All assessments must be completed as soon as possible after the programme begins, with the academic malpractice assessment completed before the first piece of coursework is submitted. Completion of these assessments is monitored by the School. All students are also strongly advised to complete the academic literacy section.
Personal Development Plans
A personal development plan (PDP) is a collection of documents that record your progress throughout the course. It encourages you to focus on your skills as a learner and to take responsibility for your own skill development. The PDP is your own property. It is primarily about assessing your skills, setting personal goals for improvement, recording your achievements, and reflecting on your experiences on this course.
The PDP for the course will be made available by the programme director/personal tutor. For some students, this may be the first time that you have come across a PDP. Others will have used them for some years within their work environment, for example the NHS in the UK. In this case we encourage you to use whichever system is of most benefit to you.
If kept up to date, your PDP will provide a valuable profile of your progress and achievement throughout your course, as well as helping you document your skill development. This will be a great asset when you come to revising your CV. For more general information please see:
http://www.tlso.manchester.ac.uk/personaldevelopmentplanning/
Accreditation of (Experiential) Prior Learning (AP(E)L)
A student may be permitted to receive an award of credits on the basis of demonstrated learning that has occurred at some point in the past. The award of credits can be based upon learning for which certification has been awarded by an educational institution or another education/training provider, or un-certificated learning gained from experience. For full criteria please contact the programme administrator once you complete registration
All requests from the student for consideration of AP(E)L can be made to the programme director. You will be asked to complete a form (which you can request from your programme administrator), which will require you to indicate which course units are equivalent to your prior learning. You will also be required to provide evidence of the prior learning. This will then be assessed by the programme team and approved at School level to ensure equivalency of learning outcomes has been met.
Please follow the link below for the university’s policy on AP(E)L:
http://documents.manchester.ac.uk/display.aspx?DocID=13148
If an AP(E)L application is successful, the University charges £30 for every 15 credits of AP(E)L. The overall tuition fee is adjusted and the administrative charge is applied.
Students who have completed units on the accredited CPD stand-alone Masters level programme can also re-apply to the PG Cert, PG Diploma or Masters. Any CPD credit achieved would be automatically accredited to their new programme (with no administrative fee), providing they were completed within 5 years of registration on one of the award bearing programmes (and up to the maximum number of credits specified within the APL guidelines).
Pre-requisite IT skills
We ask you to ensure (by attending formal training courses if necessary) that you are familiar with the basics of:
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- Using a personal computer.
- Using a word processor e.g. Microsoft Word or Open Office Write.
- Using the internet as an aid to study, including bookmarking, saving and storing web-based material, and communicating via e-mail.
- Using a web-based search engine to search a clinical database (e.g. PubMed). See Technical Support below for further details.
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Computer hardware
You should have regular access to the same Microsoft Windows PC/laptop or Apple Mac, on which you are able to adjust the settings if required. Blackboard or Moodle may require you to make minor adjustments to your settings or browser.
You do not need a high specification (expensive) computer to do this course. However, you will need access to a good reliable internet connection as this will significantly improve the download times for web pages, audio and video.
It is also recommended that you have a headset and microphone to use with your computer.
IT Services and eLearning
IT Services Support Centre online
Details of what IT support is available and how to access it can be found on the FBMH eLearning Support page.
Login to the Support Centre online to log a request, book an appointment for an IT visit, or search the Knowledge Base.
Telephone: +44 (0)161 306 5544 (or extension 65544). Telephone support is available 24 hours a day, seven days a week.
In person: Walk-up help and support is available at the Joule Library, Main Library or Alan Gilbert Learning Commons:
Use Support Centre online for support with eLearning, from where you may make a request or search the Knowledge Base.
For IT and eLearning support visit: https://elearning.bmh.manchester.ac.uk/student/technical-support/
Blackboard
Blackboard, the University's 'virtual learning environment', will be used for online teaching.
What is Blackboard?
Blackboard is a web-based system that complements and builds upon traditional learning methods used at The University of Manchester. By using Blackboard you can:
- view course materials and learning resources,
- communicate with lectures and other students,
- collaborate in groups,
- get feedback
- submit assignments
- monitoring your own progress at a time and place of your own convenience.
Training in the use of software
The Faculty eLearning team have produced a short introduction to Blackboard for new students. The recording is hosted in two places: the VLS and on YouTube:
The recording is just over seven minutes long and covers most of the commonly used tools in Blackboard.
Assessment
Methods of Assessment
Throughout the programme we use a variety of assessment methods that will enhance your transferable skills for a health data scientist. In each course outline provided through the Virtual learning environment (Blackboard) there is a clear description of the assessment and expectations. The assessment will be closely linked to the learning outcomes of each course unit. Factual knowledge is also assessed by self-assessment assignments/quizzes. The marks from these self- assessments are purely for feedback purposes, and are not part of your assessment and not made available to course unit tutors, though tutors will know if you have completed them. Marked assignments will focus on the ability to synthesize and implement knowledge. Assessment types include: essay-type assignments; group work; programming; presentation; and formal examinations. Some courses have assessed discussion boards or online activities, which will contribute to the group work assessment.
Assignment submission
All coursework assignments should be submitted via Blackboard. For full details of how to submit an assignment please see On-line Skills and Resources.
All assignment submissions will only be submitted electronically, including your dissertation should you progress to the Masters level.
Use of Turnitin
The University uses electronic systems for the purposes of detecting plagiarism and other forms of academic malpractice and for marking. Such systems include TurnitinUK, the plagiarism detection service used by the University.
As part of the formative and/or summative assessment process, you may be asked to submit electronic versions of your work to TurnitinUK and/or other electronic systems used by the University (this requirement may be in addition to a requirement to submit a paper copy of your work). If you are asked to do this, you must do so within the required timescales.
The School also reserves the right to submit work handed in by you for formative or summative assessment to TurnitinUK and/or other electronic systems used by the University.
Please note that when work is submitted to the relevant electronic systems, it may be copied and then stored in a database to allow appropriate checks to be made.
In accordance with the Policy on Submission of Work for Summative Assessment on Taught Programmes:
All typed summative assessments, including dissertations, should be submitted online and subjected to plagiarism detection software, where appropriate.
Publication of results
After the internal and external examinations boards have been held at the end of the academic year, and once all marks have been ratified and processed, students will be sent details of how to access their results in My Manchester.
Feedback policy
The following policy has been developed in line with the university ‘Policy on feedback to Undergraduate and Postgraduate Taught Students’.
“The University of Manchester is committed to providing timely and appropriate feedback to students on their academic progress and achievement, thereby enabling students to reflect on their progress and plan their academic and skills development effectively. Feedback, and acting on feedback, is therefore part of the active learning process throughout a student’s course of study.” Teaching and Learning Support Office University of Manchester (2010).
On the Health Data Science programme we are committed to;
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- Providing students with personalised feedback within 20 working days.
- Providing more opportunities for formative feedback (on non-assessed work) during a course unit.
- Personalised feedback on written assignments will be provided for all final assignments
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We aim to offer the same quality of feedback across the programme, however the form that this feedback will take will vary from unit to unit, and this will be specified in each individual Blackboard unit. Some assignments will benefit from a summary at the end of the paper, short answer questions may receive feedback after each question and in other units feedback may refer to the model answer.
All feedback will be given through ‘Grademark’ within Blackboard, unless specifically stated differently in the course unit materials. Your tutor may use a variety of different tools within the software. A guide to accessing feedback within Grademark will be found in each unit.
We aim to get feedback uploaded into Grademark and your assignments marked within 15 working days. In the case of tutor sickness delaying feedback students will be informed by e-mail or an announcement placed in Blackboard.
Feedback is designed to be positive to show you how you can improve. In most cases it will be linked closely with the programme marking criteria found in the handbook.
We encourage you to reflect on the feedback and to incorporate the ideas into your next work. If you are uncertain about it, or have any questions please contact your course unit lead. Do this via Blackboard. If you are advised to improve your referencing, then please do so using the skills units for guidance. If you still do not understand how to reference then contact your course unit leader or the programme director before your next assignment.
Some discussion board and small group exercises are also assessed. Details of the marking and assessment will be explained in the individual course unit.
Feedback for assessed discussion board activities can be found in Blackboard in ‘Gradebook’ along with you mark for the work. We aim to provide these within a week to ten days of the exercise finishing.
Providing opportunities for formative feedback (on non-assessed work) during a course unit
Formative feedback gives you the opportunity to develop and improve with the unit and/ or programme of study. In our programme this is offered in many different ways for example;
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- Feedback by tutors and fellow students on discussion boards
- Automated feedback from self-test or quizzes
- Peer review exercises
- Reflective exercises which provide sample answers
- Feedback in F2F workshops by other students and tutors
These are not assessed, and therefore optional, however we do encourage you take part and reflect on the feedback that you receive.
The role of the External Examiner
External Examiners are individuals from another institution or organisation who monitor the assessment processes of the University to ensure fairness and academic standards. They ensure that assessment and examination procedures have been fairly and properly implemented and that decisions have been made after appropriate deliberation. They also ensure that standards of awards and levels of student performance are at least comparable with those in equivalent higher education institutions.
External Examiners’ reports
External Examiners’ reports relating to this programme will be shared with student representatives and details of any actions carried out by the programme team/School in response to the External Examiners’ comments will be discussed. Students should contact their student representatives if they require any further information about External Examiners’ reports or the process for considering them.
The External Examiner for this programme is Dr Joram Posma at Imperial College London.
Please note that it is inappropriate for students to make direct contact with External Examiners under any circumstances, in particular with regards to a student’s individual performance in assessments. Other appropriate mechanisms are available for students, including the University’s appeals or complaints procedures and the UMSU Advice Centre. In cases where a student does contact an External Examiner directly, External Examiners have been requested not to respond to direct queries. Instead, External Examiners should report the matter to their School contact who will then contact the student to remind them of the other methods available for students. If students have any queries concerning this, they should contact their Assessments Administrator shs.assessments@manchester.ac.uk in the first instance.
Faculty assessment criteria for assignments and dissertations
NB. A more comprehensive assessment criteria specific to the Health Data Science course units can be found in each Blackboard unit.
BAND | MARKING CRITERIA
Descriptor |
90% – 100% | EXCELLENT (may allow award of distinction*)
Exceptional work, nearly or wholly faultless for that expected at Master’s level. |
80% – 89% | EXCELLENT (may allow award of distinction*)
Work of excellent quality throughout. |
70% – 79% | EXCELLENT (may allow award of distinction*)
Work of very high to excellent quality showing originality, high accuracy, thorough understanding, critical appraisal, and very good presentation. Shows a wide and thorough understanding of the material studied and the relevant literature and the ability to apply the theory and methods learned to solve unfamiliar problems. |
60% – 69% | GOOD PASS (may allow an award of a merit*)
Work of good to high quality showing evidence of understanding of a broad range of topics, good accuracy, good structure and presentation, and relevant conclusions. Shows a good knowledge of the material studied and the relevant literature and some ability to tackle unfamiliar problems. |
50% – 59% | PASS
Work shows a clear grasp of relevant facts and issues and reveals an attempt to create a coherent whole. It comprises reasonably clear and attainable objectives, adequate reading and some originality. |
40% – 49% | DIPLOMA PASS, POTENTIALLY COMPENSATABLE FOR MASTERS
Work shows a satisfactory understanding of the important programme material and basic knowledge of the relevant literature but with little or no originality and limited accuracy. Shows adequate presentation skills with clear but limited objectives, and does not always reach a conclusion. |
30% – 39% | FAIL, POTENTIALLY COMPENSATABLE FOR DIPLOMA
Work shows some understanding of the main elements of the programme material and some knowledge of the relevant literature. Shows a limited level of accuracy with little analysis of data or attempt to discuss its significance. |
20% – 29% | FAIL
Little relevant material presented. Unclear or unsubstantiated arguments with very poor accuracy and understanding. |
0 – 19% | CLEAR FAIL
Work of very poor quality containing little or no relevant information. |
* The award of Merit or Distinction for the final degree is dependent upon a number of criteria laid out in the list below.
Dissertations
Please see the HDS dissertation handbooks for further details. These will be available through the virtual learning environment before you proceed to the dissertation element of the programme.
Postgraduate Taught Degree Regulations for Students
The following guidance should be read in conjunction with the regulations policy document.
Postgraduate Taught degrees at the University of Manchester are based on the National Framework for Higher Education Qualifications (FHEQ). This framework requires students to achieve credit at masters’ level in order to get an award. For a standard postgraduate taught Masters programme this will normally mean passing 180 credits. A standard postgraduate diploma will normally have 120 credits and a postgraduate certificate 60 credits. The way in which you study these credits will be defined later in the programme handbook and the programme specification.
The University sets standards relating to your performance on every unit but also on your progression through the programme. The programme and course unit specifications will set out the requirements for passing the credit on individual units.
Please find below the link to the degree regulations:
http://www.regulations.manchester.ac.uk/postgraduate-degree-regulations/
Programme Exemptions to PGT Degree Regulations
The programme does not have any exemptions.
Programme Specification
Please login to Blackboard and navigate to the Programme’s Community Space for the Programme Specification.
Course Unit Outlines
For information regarding specific course units, please visit the Course Details tab programme’s website.
Late Submission Penalty (Including Dissertation)
Work submitted after the deadline without prior approval will be subject to a late penalty in accordance with the University Policy on Submission of Work for Summative Assessment on Taught Programmes. The penalty applied is 10% of available marks deducted per day/24 hours (from the time of the original or extended deadline), until the assignment is submitted, or no marks remain.
Penalties for late submission relate to 24 hours/calendar days, so include weekends and weekdays, as well as bank holidays and University closure days.
The mark awarded for the piece of work will be reduced by:
10% of the available marks deducted if up to 24 hours (1 day) late
20% of the available marks deducted if up to 48 hours (2 days) late
30% of the available marks deducted if up to 72 hours (3 days) late
40% of the available marks deducted if up to 96 hours (4 days) late
50% of the available marks deducted if up to 120 hours (5 days) late
60% of the available marks deducted if up to 144 hours (6 days) late
70% of the available marks deducted if up to 168 hours (7 days) late
80% of the available marks deducted if up to 192 hours (8 days) late
90% of the available marks deducted if up to 216 hours (9 days) late
100% of the available marks deducted if up to 240 hours (10 days) late
If the assessment is submitted within 10 days of the deadline the assessment should be marked and feedback to the student provided. If this mark before the penalty is applied reaches the appropriate pass mark but the applied penalty results in a fail of the assessment, the student should not be required to resit the assessment as the original mark can be taken as the resit mark. Further information and examples can be found in the Policy and associated Guidance documents.
For work submitted more than 10 days late, it is regarded as a non-submission and need not be marked. In this case a mark of zero will be awarded and normal resit regulations will apply.
The sliding scale should only be applied to first-sit submissions. For all referred (resit) assessment, any late submission will automatically receive a mark of zero.
For further information:
Policy on the Submission of Work for Summative Assessment on Taught Programmes
Mitigating Circumstances
Sometimes, factors beyond your control may interfere with your ability to attend to your academic studies. The University’s mitigating circumstances procedures exist to try to mitigate against the impact that this could have on your grades.
The full mitigating circumstances policy and guidance can be accessed via the following link: https://www.studentsupport.manchester.ac.uk/study-support/mitigating-circumstances/
We strongly recommend that you seek advice from a member of the Wellbeing team before submitting any claim for mitigating circumstances. You can contact them via shs.mitcircs@manchester.ac.uk or shs.wellbeing@manchester.ac.uk
Grounds for mitigation
Grounds for mitigation are unforeseeable or unpreventable circumstances that could have, or did have, a significant adverse effect on your academic performance.
Possible mitigating circumstances include:
- significant illness or injury
- the death or critical/significant illness of a close family member/dependant
- significant family crises or major financial problems leading to acute stress
- absence for public service e.g., jury service
Circumstances that will not normally be regarded as grounds for mitigation include:
- holidays, moving house and events that were planned or could reasonably have been expected
- assessments that are scheduled close together
- misreading the timetable or misunderstanding the requirements for assessments
- inadequate planning and time management
- consequences of paid employment
- exam stress or panic attacks not diagnosed as illness or supported by medical evidence
- disruption in an examination room during the course of an assessment which has not been recorded by the invigilators
Applying for mitigation
You should inform us if you experience difficulties that may negatively affect your performance on assessed work. You can inform us of such difficulties by submitting an online Mitigating Circumstances Form. The form must be completed by you. It will ask you to provide details of your difficult circumstances and to list the assessments affected. It is important that you list each separate assessment, giving details of the course unit and the nature of the assessment (e.g. PSYC10711 Essay or PSYC10100 Week 4 Quiz). Your form should also be supported with evidence, which is independent and time-specific (for example, a doctor’s note which confirms that you were ill and indicates the period affected). Our Student Support and Wellbeing team can advise you on the information required on the form.
You should inform us of mitigating circumstances as soon as you become aware that they might affect your performance. Typically, mitigating circumstances must be submitted prior to the assessment taking place. In exceptional circumstances, where it is not possible to inform us in advance, you should submit your Mitigating Circumstances application as soon as possible after deadline or scheduled examination, supported by a credible and compelling explanation of why your claim could not be submitted in advance.
Mitigating circumstances forms must be submitted before the submission date or Exam. All supporting evidence and any applications for retrospective mitigation (as above), must be submitted no later than the following:
- Semester 1 assignments and Exams: 2nd February
- Semester 2 assignments and Exams: 10th June
- Semester 2 exam resits: 2nd September
Please note, not informing the University of circumstances due to personal feelings, e.g., shame, embarrassment and pride, or having concerns over the confidential treatment of requests for mitigation, are not considered to be credible and compelling explanations as to why the circumstances could not be made known or shown by these deadlines. If the details of the mitigating circumstances are considered to be highly confidential, you can discuss with the wellbeing team shs.wellbeing@manchester.ac.uk the best way to submit an application. The committee handle all requests for mitigation with sensitivity and due regard for confidentiality.
How mitigation is considered and applied
Evidence for personal and medical mitigating circumstances is considered by a mitigating circumstances committee. It is this committee’s role to determine whether there is evidence of mitigating circumstances, whether those circumstances could have had an effect on your performance, and the likely impact. The committee will consider all submissions and, where there is evidence that circumstances have been serious enough to have an effect on one or more elements of assessment, the committee will make recommendations to the exam board.
The exam board, at the recommendation of the mitigating circumstances committee, can take a limited number of actions to apply mitigation. In most cases, acceptance of the mitigation will involve revoking any late submission penalties or allowing for the missed or failed coursework/exam to be taken again as a first sit.
A claim for mitigating circumstances may be turned down for several reasons:
- The circumstances detailed by the student are not regarded as grounds for mitigation under the Policy on Mitigating Circumstances
- The supporting evidence does not cover the relevant period
- The supporting evidence is not supplied by an appropriate (independent) source
- The supporting evidence is deemed insufficient to support the student’s claim of the seriousness of impact on their assessment performance
- The wording of the evidence supplied does not support the student’s claim e.g. the material does not provide a medical diagnosis
- No evidence is provided, and the student has not given any explanation as to the reasons why nor indicated when evidence could be available
- The evidence relates to a chronic condition which the student is already in receipt of support from the Disability Advisory and Support Service (DASS). This does not include instances where the student has an acute flare up of a pre-existing condition which may be accepted if properly evidenced and confirmed by DASS
- The deadline for submitting mitigating circumstances has been missed, without a credible and compelling reason
- The claim relates to an ongoing condition or circumstance previously used to claim mitigation where the Panel, on the earlier occasion, instructed the student that this mitigation could not be used again and may have instructed the student to access support from the Disability Advisory and Support Service
Extensions
If you experience difficulties that will prevent you from submitting assessed coursework on time, you can request an extension of up to one week. You need to provide a credible reason for your extension, in line with the extension policy, but you do not need to submit evidence to support your request.
Please think carefully about whether one-week is enough time to submit and how this will impact the rest of your workload before requesting an extension.
To apply for an extension, you will need to complete this form:
https://www.qualtrics.manchester.ac.uk/jfe/form/SV_56LcBQhsaZ6Agsu
Extensions should be applied for by 15:00pm on the day of your original assessment submission date. Any applications after this time will not be considered and you will need to apply for mitigating circumstances.
If mitigating circumstances prevent you from submitting an extension request in advance, or mean that you miss the extended deadline that has been awarded, you should submit mitigating circumstances following the procedures outlined in the mitigating circumstances procedure. Please note, such requests for mitigation will only be considered where students provide a clear justification (including evidence) for failing to follow the normal extension request procedure.
Some DASS students are entitled to an automatic one-week extension, which does not need to be applied for. If you are a DASS student with this automatic extension and require longer than one-week, please complete the form above by 15:00pm on the day of your DASS submission date.
Interruptions and Withdrawals
Interruptions
If at any point in your studies you feel that you need to take some time away from your degree, you can interrupt your studies and return once you are ready. You need to be aware of the below implications when considering taking an interruption, so it is best to discuss any queries you may have with the Student Support and Wellbeing Team/Programme Director/Year Tutor/Academic Advisor.
There are a few important things to think about when deciding to interrupt:
- Primarily, your wellbeing. If an interruption is the best decision for you, it should benefit your present and future wellbeing and support you completing your degree to the best of your abilities.
- Tuition Fees
- Accommodation (if living in UoM halls)
- Possible changes to course content on return
- Tier 4 students MUST be referred to the Student Immigration Team in SSC to discuss consequences of interruption (3.2 Policy on Interruptions to UG and PGT Programmes of Study)
If you then wish to request an interruption to study, either via email, during a welfare meeting, or following a meeting with an AA, you would need to complete an SHS Interruption Request Form, which can be obtained by contacting the Student Support and Wellbeing team on shs.wellbeing@manchester.ac.uk. It is helpful to know at this stage how long you expect to interrupt for and when you might return.
You need to complete and sign the form, returning it back to the shs.wellbeing@manchester.ac.uk email address with any appropriate supporting evidence. The form will then be sent to the relevant member of academic staff for approval (this may be the Programme Director, Year Tutor or Academic Advisor).
*Please note that students will be contacted by the Student Support and Wellbeing Team prior to their return to study/return from interruption*
Withdrawals
If you decide that you are unable to continue your programme, you can withdraw from your studies. You will need to be aware of the below implications when considering withdrawing from the programme, so we would always advise discussing any queries you may have with the Student Support and Wellbeing Team/Programme Director/Year Tutor/Academic Advisor.
- Tuition Fees
- Accommodation (if living in UoM halls)
- Future career prospects
If you then wish to withdraw from the programme, either via email, during a welfare meeting, or following a meeting with an AA, you will need to complete a SHS Withdrawal Request Form, which can be obtained by contacting the Student Support and Wellbeing team on shs.wellbeing@manchester.ac.uk
Students need to complete and sign the form, returning it back to the shs.wellbeing@manchester.ac.uk email address. No supporting evidence is required for a request to withdraw. The form will then be sent to the relevant member of academic staff for approval (this may be the Programme Director, Year Tutor or Academic Advisor)
Once the Student Support and Wellbeing Team has received the form which has been approved by the relevant member of staff, a standard confirmation letter will be sent to you confirming the details of the withdrawal.
Student Support Services
Student Support and Wellbeing Team
The Student Support and Wellbeing Team can support your wellbeing needs through the year. The team is here to support you when you wish to discuss circumstances such as interrupting your studies, financial issues, the submission of details of mitigating circumstances and any personal concerns that are affecting your ability to study and engage fully with your course. It is important to point out that Student Support is not a counselling service; it is a practical support service.
Support from the University
As a student at the University of Manchester, you have access to a huge range of support services and resources. This includes, but is not limited to, support relating to your studies, finances, health and wellbeing, settling in and making friends, personal safety and planning for your future beyond University.
Students’ Union Advice Centre
The Students’ Union has advisers who can help with any matter ranging from finances to housing and beyond. The Advice Centre is on the first floor in the Student Union Building, and is open Monday to Friday, 9.30am to 4.30pm, term time and vacation. See http://manchesterstudentsunion.com/.
Support of care experienced and estranged students
The University of Manchester recognises that care experienced students, and those that become estranged from their families often require additional support. This may take the form of, amongst other things, financial support, help with accommodation, provision of quiet study are as and general support. Please contact shs.wellbeing@manchester.ac.uk for further details on how to access support.
Support for Students with Disability and Long-Term Health Problems
If you have a disability, or have learning support needs, we advise that you register with the Disability Advisory and Support Service (DASS). They can offer a range of services to help you make the most of your University experience. Where appropriate, they will work with you to develop a support plan which will put in place any support you require for exams, from the library or from teaching staff.
Registering with DASS is particularly important for students where ongoing or recurring difficulties may impact their academic performance. The University’s Policy on Mitigating Circumstances (see section 6) does not allow students to make repeated claims for the same condition, because to qualify for mitigation, the circumstance must be ‘unforeseeable’. However, the Mitigating Circumstances Committee can award further mitigation where DASS support your claim; for example, by advising the committee that your condition is associated with ‘flare-ups’ (which are unforeseeable).
You find more information and how to register with DASS here: http://www.dass.manchester.ac.uk/
Support for International Students
Manchester has a thriving International student community and you will have lots of opportunities to engage with students from all over the world. The International Society (http://www.internationalsociety.org.uk), based on Oxford Road, organises trips, events, activities and community projects which are open to both International and British students. The Language Centre also provides support to International students who have concerns about their English skills (http://www.languagecentre.manchester.ac.uk/).
UoM Counselling Service
The Counselling & Mental Health Service works in partnership with other support services within the university and are here to provide support for you should you feel you need help with your mental health.
The Counselling & Mental Health Service offer a range of workshops, groups, 1-1 appointments and other resources to help you. For more information and to book an appointment click here: Get Help
You can also phone for advice on 0161 275 2864 between 9.00am - 4.30pm (Monday – Friday)
Student Support and Wellbeing Contact Details
shs.mitcircs@manchester.ac.uk – for information and guidance on mitigating circumstances and extensions, including sending evidence and receiving outcomes of applications.
shs.attendance@manchester.ac.uk – for queries related to attendance monitoring.
shs.wellbeing@manchester.ac.uk – for support and signposting to university wellbeing resources, as well as making a wellbeing appointment with an advisor.
shs.dc@manchester.ac.uk – for Disability Advisory and Support Service (DASS) enquiries.
Attendance monitoring and Student Ill Health
Students are expected to attend all scheduled teaching and learning sessions in every year of study, unless alternative arrangements or flexibility in attendance has been agreed for individual students, if unavoidable circumstances such as illness prevents you from attending or if absence has been authorised. This includes both on-campus teaching as well as online/blended, distance or remote learning modes of delivery.
If you are unable to attend a teaching session you should inform the lecturer/instructor in the first instance to catch up on missed learning and for support with teaching materials. For absences of 1-2 days, you do not need to tell the Student Support and Wellbeing Team.
If you expect to miss one or more full weeks of teaching, you must notify the Student Support and Wellbeing team on shs.attendance@manchester.ac.uk, as well as your Academic Advisor. Please provide a reason for this to help the team provide appropriate guidance and signposting as required.
If your attendance is deemed to be too low, someone from the Student Support and Wellbeing team will be in touch to check in with you and make sure that you are ok. If the poor attendance continues without a valid reason, your Academic Advisor will be informed. If there is still no improvement in your attendance, you will be asked to a meeting with your Programme Director. This is in line with the university policy on monitoring attendance.
Tier 4 Visa Students
As a part of your visa requirement, your attendance needs to be monitored with regular in-person check ins on campus. You will need to attend the SHS Hub (Ground Floor, Jean McFarland building) twice a week on your assigned days to scan your student ID card.
Referral of assessments (resits)
To pass a course unit you must have submitted all assessments and gained an overall mark of 50% or greater at Masters level and 40% or greater at Diploma or Certificate level.
If you fail a course unit and are unable to compensate the mark, you will be offered the opportunity to take a resit assessment (known as a “referral”).
Failure of a unit at second attempt
If a student fails a resit assignment they will not be eligible to take the unit again. Should this happen, the students situation will be discussed at an exam board and the student will be offered appropriate options. This may include transfer to another award such as a PG Diploma or PG Certificate.
A detailed description of the regulations surrounding resits can be found in the Regulations for Taught Programmes..
Special Permissions (including Interruptions and Extensions to Programme)
It is the expectation of the University that postgraduate taught students pursue their studies on a continuous basis for the stipulated duration of their programme. However, it is recognised that students may encounter personal difficulties or situations which may seriously disrupt or delay their studies. In some cases, an interruption or extension to your programme of study may be the most sensible option.
Students who wish to interrupt the programme or extend the dissertation deadline should initially discuss their plans and reasons with their Programme Administration Team, Programme Director or their Dissertation Supervisor (if requesting an extension to their dissertation deadline).
If you wish to interrupt you should first discuss it informally with the Programme Directors. If you decide to continue with your application, you must complete the online interruption form and send your supporting evidence to the Wellbeing Team at shs.wellbeing@manchester.ac.uk, stating your name, University ID number and programme. You can also contact the Programmes Support Team at shs.programmes@manchester.ac.uk if you need further advice on the process.
Assignment Word Count (Including Dissertation)
In accordance with the University Policy on Marking: Some written assignment have word limits which you must state at the top of your first page. It is acceptable, without penalty, for you to submit an assignment within a range that is plus 10% of this limit. If you present an assignment with a word count exceeding the specified limit+10%, the assignment will be marked but 1% will be deducted from this mark for every 100 words over the limit given. For an original word limit that is 1000 words and an assignment that is marked out of 100. If a submission is made that is 1101 words, then it exceeded the 10% leeway, and is more than 100 words over the original limit and should receive a 1-mark deduction. In accordance with accepted academic practice, when submitting any written assignment for summative assessment, the notion of a word count includes the following without exception:
- All titles or headings that form part of the actual text. This does not include the fly page or reference list
- All words that form the actual essay
- All words forming the titles for figures, tables and boxes, are included but this does not include boxes or tables or figures themselves
- All in-text (that is bracketed) references
- All directly quoted material
Certain assessments may require different penalties for word limits to be applied. For example, if part of the requirement for the assessment is conciseness of presentation of facts and arguments. In such cases it may be that no 10% leeway is allowed, and penalties applied may be stricter than described above. In such cases the rules for word count limits and the penalties to be applied will be clearly stated in the assessment brief and in the submission details for that assessment.
Academic Appeals, Complaints, Conduct and Discipline
Academic Appeals
- For the most up to date information regarding appeals, students should refer to the University’s general support pages, since the pages are updated to reflect changes in policy and guidelines.
- Students have a right of appeal against a final decision of an Examination Board, or a progress committee, or a graduate committee or equivalent body which affects their academic status or progress in the University.
- Students thinking of appealing should first discuss the matter informally with an appropriate member of staff, in order to better understand the reason for the result or decision and to determine whether the matter can be resolved informally by the School prior to making a formal appeal.
- Should you wish to proceed to a formal appeal, this must be submitted within the timeframe outlined in the Academic Appeals Procedure to the Faculty Appeals and Complaints Team electronically by e-mail: FBMHappealsandcomplaints@manchester.ac.uk).
- The Academic Appeals Procedure (Regulation XIX) and associated documents, including the form on which formal appeals should be submitted, can be found at http://www.regulations.manchester.ac.uk/academic/basic-guide-academic-appeals/
Student Complaints
- The University’s Student Complaints Procedure (Regulation XVIII) and associated documents, including a complaints form, can be found at www.regulations.manchester.ac.uk/academic
- The University has separate procedures to address complaints of bullying, harassment, discrimination and/or victimisation - see https://www.reportandsupport.manchester.ac.uk/
- Students thinking of submitting a formal complaint should, in most instances, attempt informal resolution first (see the procedure). Formal complaints should be submitted on the relevant form to Faculty Appeals and Complaints Team electronically by e-mail: FBMHappealsandcomplaints@manchester.ac.uk).
Conduct and Discipline of Students
- General University information on the conduct and discipline of students can be found at https://www.staffnet.manchester.ac.uk/tlso/academic-appeals-complaints-and-misconduct/conduct-and-discipline-of-students/
- Faculty policies for students on communication and dress code, social networking and drugs and alcohol can be found at:
- http://documents.manchester.ac.uk/display.aspx?DocID=29038 (Communication and Dress Code)
- http://documents.manchester.ac.uk/display.aspx?DocID=29039 (Drugs and Alcohol)
- http://documents.manchester.ac.uk/display.aspx?DocID=29040 (Social Networking)
- Information on Academic Malpractice and how to avoid it can be found at http://www.regulations.manchester.ac.uk/guidance-to-students-on-plagiarism-and-other-forms-of-academic-malpractice/
- In accordance with the Policy on Submission of Work for Summative Assessment on Taught Programmes, ‘All typed summative assessment, including dissertations, should be submitted online and subjected to plagiarism detection software, where appropriate’.
The University Library has produced online resources to help students in avoiding plagiarism and academic malpractice at:
https://www.library.manchester.ac.uk/training/my-learning-essentials/online-resources/
Fitness to Practise
Information on Fitness to Practise should be included in handbooks for programmes which require the student to undertake practical training in a quasi-professional role in relation to patients, clients or service-users; where the qualification provides a direct license to practise; and where the students on the programme are registered health or social care professionals undertaking further study to enhance their current profession or which will allow them to practise an additional duty.
For advice on content for programme handbooks relating to Fitness to Practise:
- Faculty Appeals and Complaints Team e-mail: FBMHappealsandcomplaints@manchester.ac.uk
Student Progression
Monitoring Attendance and Engagement for PGT Students during the Research Component (Masters Level only)
Full Time PGT Students
The following guidance outlines the requirements of the School in relation to the monitoring of attendance and engagement for full-time PGT students during the research component of a Masters level degree. This is in accordance with the University’s expectations in monitoring attendance (Regulation XX, http://documents.manchester.ac.uk/display.aspx?DocID=1895).
- Full-time PGT students are required to maintain weekly contact with their dissertation supervisor throughout the research component of their degree.
- The School’s expectation is that the meetings are conducted face-to-face. In exceptional circumstancesi or for Distance Learning students this meeting may be conducted via telephone or Skype and on occasions via email.
- The attendance and engagement of PGT students must be recorded by the main supervisor.
- The Programme Administrator will request confirmation from the main supervisor on a monthly basis that the PGT student has attended/engaged each week and participated in all required meetings.
- Where a student fails to attend/engage on two consecutive weeks or where a pattern of non-attendance/engagement becomes apparent it is the main supervisor’s responsibility to notify the Programme Director and Programme Administrator immediately.
- Where students are identified as meeting one of the above trigger points, the
process as outlined in section 4 of the University’s ‘Policy on Recording and Monitoring Attendance’ (http://documents.manchester.ac.uk/display.aspx?DocID=20846) will be employed.
Part Time PGT Students
The following guidance outlines the requirements of the School in relation to the monitoring of attendance and engagement for part-time PGT students during the research component of a Masters level degree. This is in accordance with the University’s expectations in monitoring attendance (Regulation XX, http://documents.manchester.ac.uk/display.aspx?DocID=1895).
- Part-time PGT students are required to maintain regular contact with their dissertation supervisor throughout the research component of their degree.
- The School’s expectation is that there is a minimum of one contact point per month. This can be via email, telephone, Skype, face-to-face etc.
- The attendance/engagement of PGT students must be recorded by the main
supervisor.
- The Programme Administrator will request confirmation from the main supervisor on a monthly basis that the PGT student has adhered to the required attendance/engagement points.
- Where a student fails to attend/engage on two consecutive months or where a pattern of non-attendance/engagement becomes apparent it is the main supervisor’s responsibility to notify the Programme Director and Programme Administrator immediately.
- Where students are identified as meeting one of the above trigger points, the
process as outlined in section 4 of the University’s ‘Policy on Recording and Monitoring Attendance’ (http://documents.manchester.ac.uk/display.aspx?DocID=20846) will be employed.
1 Exceptional circumstances are recognised as: when a student has been permitted to return home to complete the writing up of their dissertation when all attempts to arrange a face-to-face meeting have been exhausted
Programme changes
Students may request to change their programme from full time to part time. They may also request to change from a Master level to a Diploma or Certificate. On the basis of performance students may be recommended or required to change their programme for example from a Masters to a Diploma.
Progressing from PG Certificate or Diploma to a Masters
Well performing PG Cert/PG Dip students can progress on to a Masters level programme if they meet or better the required academic performance for a Master award. Anyone wishing to consider this route should contact the programme administrator as soon as possible to discuss this.
Progressing from CPD units to PG Cert, PG Dip or Masters in Health Data Science
If you have completed course units on the CPD stand-alone unit scheme and would like to progress to the PG Certificate, PG Diploma or MSc programme, you must complete the online application form providing all supporting documents before the beginning of August. If you need any further information about this process, please contact the admissions co-ordinator (pgtaught.cbm@manchester.ac.uk).
Withdrawal from studies
If for any reason you would like to withdraw from your studies, please contact the Wellbeing Team at shs.wellbeing@manchester.ac.uk, for further guidance. We will ask you to give notification of your withdrawal in writing, and you may be invited to speak to the Programme Director before your withdrawal is processed. Please note that you may be liable for part or whole of the tuition fees due and/or an administrative charge if you decide to withdraw once teaching has started.
Progression to dissertation (Health Data Science)
In order to progress to the dissertation, HDS students must have completed 120 taught credits (or 8 taught units). Of these at least 90 credits (or 6 units) must be passed at Masters level. The other 30 credits (or 2 units) must have marks that fall within the compensation zone for a Masters degree (40 – 49%) or higher. For full details about this please see section5.5.
Graduation
All students who successfully complete the PG Certificate, Diploma and Masters programmes are invited, along with their guests, to attend a graduation ceremony. The School will write to you confirming your award and the details for graduation. Further information about graduation can be found at:
http://www.graduation.manchester.ac.uk/
All University of Manchester degree ceremonies are broadcast live on-line, and are also stored on the University website.
Graduation and Blackboard Access
Students who are presented at the June Exam Board will be invited to join the July Graduation Ceremony and students who are presented at the November Exam Board will be invited to join the December Graduation Ceremony.
The University’s Graduation Team will release the Graduation Ceremony information as soon as it is made available, usually late April/October. The standard email sent by the University’s Graduation Team is sent to ALL potential graduands. Therefore, please do not book flights or hotels until you have received your award/degree result following the Exam Board meeting.
Graduands will have access to both Course and Organisation spaces until the end of their Graduation period; end of July/end of December.
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Graduands will have access to both Course and Organisation spaces until the end of their Graduation period; end of July/end of December.
Student Support
Full details of support offered by The University of Manchester can be found on the Student Support web pages. At times when you are not based at the university, many support or guidance services can also be accessed by e-mail, phone or mail. The course unit leaders, course unit tutors, the programmes administrator and the programme director are all on hand to support and guide you while you are going through your programme of study. If you have any queries or would like to discuss any issues at all – academic, administrative, technical or personal – please do not hesitate to get in touch. All personal issues will be dealt with confidentially.
If we are unable to help you directly, we can put you in touch with many of the support services that are available to students of the university through our Student Services Centre. You can approach these services independently, without the involvement of programme staff.
Student Services Centre (SSC)
The Student Service Centre can help provide you with information about:
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- Registration
- Tuition fees queries
- Graduation and transcripts You can contact the SSC at:
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Tel: +44 (0) 161 275 5000
E-mail: ssc@mancheseter.ac.uk
Student Identity Card
Once you have completed your registration, you will be able to collect your student card. If you have uploaded a photograph of yourself to the student system during your application process, this can be used for your student card. If not, once you have logged into ‘My Manchester’, you will be able to upload a photo for your student card in the ‘My Profile’ area.
Once you have arrived in Manchester you can collect your student card, which will give you access to everything on campus, including the Library, so make sure you collect it as soon as possible. Please visit the Welcome website for details of where you can get your student card.
If you are not based at Manchester and would like a University of Manchester Student ID card sending to you, please contact the SSC by email to request one (ssc@manchester.ac.uk), advising why you are unable to collect this.
Disability Advisory and Support Service Disability (DASS)
The University of Manchester has a Disability Advisory and Support Service and welcomes students with a disability or specific learning difficulties. DASS advisors will be pleased to meet you to discuss your needs. DASS will liaise with your School through the Disability Coordinator to make the necessary arrangements for your support during your time in Manchester.
The office can also provide a copy of the University’s Disability Statement, ‘Opportunities for Students with Additional Support Needs at the University of Manchester’, which sets out the policy and provision for students with a disability.
DASS Contact Details
2nd Floor, University Place, dass@manchester.ac.uk; +44(0)161 275 7512; www.dass.manchester.ac.uk
Text: 07899 658 790
Careers Service
http://www.careers.manchester.ac.uk/
Careers Blog for International Students @ Manchester
Recently launched, a Careers Blog has been set up dedicated to keeping international students at The University of Manchester informed with regular news and upcoming events.
Equal Opportunities
In conformity with the general intention of the university’s charter, the Health Data Science Programmes confirm their commitment to a comprehensive policy of equal opportunity for students and prospective students in their admissions policy, in all aspects of teaching and examining, in their counselling of students, and in the way they afford access to any of their benefits, facilities and services. The aim of the policy is to ensure that no student or prospective student receives less favourable treatment directly or indirectly on the grounds of race, nationality, ethnicity, gender, sexuality, marital or parental status, disability, creed, political belief or social or economic class. The Code of Practice for complaints represents our commitment to a programme of action to make these policies fully effective (see below).
Religious Observance and Looking after yourself and your patients during Ramadan
Policy on Religious Observance:
- University Policy
- The Faculty of Biology, Medicine and Health has produced guidance for healthcare students on fasting and caring: Fasting and Caring - Looking after yourself and your patients during Ramadan: guidance for health care students.
Student Representation & Feedback
Student representatives
Each year, we ask students to volunteer for the role of student representative. Student representation plays a vital and important part in helping us to maintain and improve the quality of the services and programmes that we provide.
The role of a student representative has three aspects:
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- To liaise between staff and students on matters of concern to either side
- To provide two-way feedback on the course and on teaching quality
- To promote active student involvement in course development
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Student representatives are also invited to speak confidentially to our external examiner at the end of the academic year, and to participate in our end-of-year course review meetings. Representatives can participate by attending meetings in person or by teleconference. Representatives will be asked to feed back information from these meetings to the other students.
We hope to recruit multiple student representatives for each year. The programme administrator will request volunteers for this position.
Students will act as representatives for one year unless they express a desire to continue, in which case they may put themselves forwards again. In this instance, students who have yet to act as a representative will take precedent.
Student Feedback
Your feedback is part of an on-going process of programme and course unit assessment. At the end of each semester you will be asked to complete an anonymous on-line evaluation questionnaire for each course unit you have taken. At the end of your programme you will also be asked to complete a general evaluation for your overall programme of study.
The university also requests that students complete a PTES (Postgraduate Taught Experience Survey) once a year. This information is quite different from that collected by the programme and we would encourage you to complete both.
Information about both unit surveys and PTES will be sent directly to you through the student portal. The end of programme survey will be emailed to you on completion of your programme.
Links to current regulations, codes of practice and policies
General
Crucial Guide for Postgraduate Students
http://www.studentnet.manchester.ac.uk/crucial-guide/
Data Protection
http://www.manchester.ac.uk/aboutus/documents/privacy/
Equality and Diversity Policy
http://documents.manchester.ac.uk/display.aspx?DocID=8361
Academic Policies
Basic Guide to Academic Appeals
http://documents.manchester.ac.uk/display.aspx?DocID=23874
Academic Malpractice: Procedure for the Handling of Case:
http://documents.manchester.ac.uk/DocuInfo.aspx?DocID=639
Guidance for the Presentation of Taught Masters Dissertations
http://documents.manchester.ac.uk/display.aspx?DocID=2863
Policy on Feedback to Undergraduate and Postgraduate Taught Students
http://documents.manchester.ac.uk/DocuInfo.aspx?DocID=6518
Mitigating Circumstances:
Mitigating Circumstances: Guidance for Students http://www.regulations.manchester.ac.uk/basic-guide-mitigating-circumstances/ http://www.tlso.manchester.ac.uk/map/teachinglearningassessment/assessment/se ctionc- reachingdecisionsfromassessment/mitigatingcircumstancesguidanceforstudents/
Policy on Mitigating Circumstances
http://documents.manchester.ac.uk/display.aspx?DocID=4271
Guidance for students on plagiarism and other forms of academic malpractice can be found at:
http://documents.manchester.ac.uk/display.aspx?DocID=2870
Student Complaints
Basic Guide to Student Complaints
http://documents.manchester.ac.uk/display.aspx?DocID=23875
Policy on Submission of Work for Summative Assessment on Taught Programmes
http://documents.manchester.ac.uk/display.aspx?DocID=24561
Work and attendance policy
http://documents.manchester.ac.uk/display.aspx?DocID=1895
Student Support
Student Charter
http://www.yoursay.manchester.ac.uk/student-charter/
Occupational Health Services for Postgraduate Students
http://www.occhealth.manchester.ac.uk/postgraduates/
International Student Support
https://www.manchester.ac.uk/study/international/
A Personal Safety Guide for International Students http://www.studentnet.manchester.ac.uk/medialibrary/study/safety-international- student-guide.pdf
Students Union
http://manchesterstudentsunion.com/
Health & Fitness
http://www.sport.manchester.ac.uk/
A full list of student services can also be found at: A-Zof StudentServices
Please be aware that it is your responsibility to familiarise yourself with the academic policies, procedures and guidelines governing the University of Manchester’s postgraduate taught courses.
Appendices
Appendix 1: Academic staff and course unit leaders
Name and Course Units |
Dr Juhi Gupta
Introduction to Health Data Science IIDS67681 Multi-Omics for Healthcare IIDS68122 E-mail: juhi.gupta@manchester.ac.uk |
Dr Iliada Eleftheriou
Modern Information Engineering IIDS61311 |
Dr Hui Guo
Fundamental Mathematics and Statistics IIDS67631 E-mail: hui.guo@manchester.ac.uk |
Dr Glen Martin
Statistical Modelling and Inference for Health IIDS67641 E-mail: glen.martin@manchester.ac.uk |
Prof Georgina Moulton
Principles of Digital Biology COMP60532 Digital Transformation Project IIDS71502 |
Dr Helen Hulme
Health Informatics COMP60542 E-mail: helen.hulme@manchester.ac.uk |
Dr Jamie Sergeant
Tutorials in Advanced Statistics IIDS67612 E-mail: jamie.sergeant@manchester.ac.uk |
Prof Magnus Rattray
Machine learning and Advanced Data Methods IIDS67682 |
Prof Tim Cootes
Mathematical Computing for Medical Imaging IIDS67462 |
Dr Jack Wilkinson
Design and Analysis of Randomised Controlled Trials IIDS68812 E-mail: jack.wilkinson@manchester.ac.uk |
Prof Niels Peek
Decision Support Systems IIDS 61402 E-mail: niels.peek@manchester.ac.uk |
Dr David Jenkins
Dissertation IIDS67650 |