<\/p>\n
We welcome you to the start of your Postgraduate Taught Programme in the School of Biological Sciences, Faculty of Biology, Medicine and Health at the University of Manchester. The University has a worldwide reputation based on high quality teaching and research, and I am sure that your taught programme will provide an inspirational platform for your future career success.<\/p>\n
Within the Faculty, our goal is to create an environment that allows you to excel and reach your full potential. Offering access to first-class facilities and strong links with eminent researchers, commercial partners and regional health-service providers, our postgraduate taught programmes are designed to meet the diverse needs of all our students. The curriculum of our taught programmes provides the knowledge and skills you will need in your subject area and all our Masters programmes include an opportunity to carry out an independent research project on subjects spanning\u00a0areas of life sciences and biomedical research from molecular to experimental biology and clinical medicine. While subject areas cover a broad range of disciplines, all our taught programmes have a number of common aims:<\/p>\n
As a student of the Faculty of Biology, Medicine and Health, you will be expected to take responsibility for your learning, within a supportive environment that fosters your development and helps prepare you for your future career. This handbook will be a useful resource as you progress through your taught programme. It provides programme specific information that I am sure that you will find helpful throughout your study. If however, you have questions or would like some further advice, please do not hesitate to contact the people listed in this handbook for further information and assistance.<\/p>\n
I wish you every success as you embark upon your taught programme, and in your future career.<\/p>\n
<\/p>\n
All students are automatically enrolled onto an introductory unit (BIOL62000) 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.<\/p>\n
Completion of the academic malpractice and health and safety sections is mandatory for all students.<\/strong> All assessments must be completed as soon as possible after the programme begins, with the academic malpractice assessment completed before<\/strong> the first piece of coursework is submitted and no later than 31 October 2022<\/strong>. Completion of these assessments is monitored by the School.<\/p>\n All students are also strongly advised to complete the academic literacy section.<\/p>\n\n If you have any queries or concerns at any time during your period of study at The University of Manchester, there is a range of people you can approach. Your Programme Administration Team will be your first point of call for general issues. Alternatively, you may wish to contact the Programme Director for specific aspects to do with the course or your Academic Advisor for career development issues. If you wish to raise a confidential matter at School level, you should approach the Deputy Head of Teaching, Learning and Student Experience \u2013 contact details below.<\/p>\n Responsibility for overall management of the Programme lies with the Programme Director who has assembled a Programme Committee, which meets regularly, to advise on content, structure, management, student supervision, and regulatory matters such as Programme improvement and refinement. The Committee also includes the student representative who is democratically elected by you to attend these meetings.<\/p>\n Programme Administration Team<\/strong><\/p>\n Your first point of call should be directed as follows:<\/p>\n \u2022 Student Support \u2022 Assessments \u2022 Curriculum Student Representative<\/strong> Director of Education (UG and PGT)<\/strong> School PGT Director<\/strong> Head of Teaching, Learning and Student Experience<\/b> Teaching and Learning Manager<\/b> Student Service, Support & Development Manager<\/strong> Programme Director<\/strong> Your contact details<\/strong><\/p>\n You will be supplied with a student e-mail address<\/a>. The University will direct communications to you by using your student e-mail address and it is your responsibility to ensure that you can access and read mail from this source. \u00a0You should check your university email regularly and in turn should send all emails to the University using your student email address.<\/p>\n <\/p>\n Blackboard is a web-based system that complements and builds upon traditional learning methods used at The University of Manchester. All course-related materials will be placed on Blackboard so it is essential that you familiarise yourself with the system as soon as possible. Blackboard also offers Discussion forums which you may find a useful resource to share information about assignments and other course-related queries.<\/p>\n Blackboard is available to students.<\/p>\n \u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0\u00a0 <\/strong><\/p>\n\n On campus, access to computers, printers, email and the internet is available at several computer clusters within the School including the Multiuser laboratories on the ground floor of the Stopford Building. Additionally, there is a Postgraduate Hub on the 3rd<\/sup> Floor of the Stopford Building.<\/p>\n There is a caf\u00e9 bar and students\u2019 common room on the 1st floor of the Stopford Building.\u00a0 Also, Innovation Cafe and Starbucks are on the Ground Floor of the Manchester Biotech Incubator Building (which is attached to the Stopford Building and can be accessed using your student card on the ground floor).<\/p>\n The International Society<\/a> is a busy centre for international students based in the Greater Manchester area. It is located on Oxford Road (see campus map<\/a>).<\/p>\n The society offers students the opportunity to engage with social events, visit places of interest as well as language support and cultural events.<\/p>\n\n The University may share appropriate information relating to your health and\/or conduct with external organisations such as your professional employer(s) (for example, relevant NHS Trust, Professional and Statutory Regulatory Bodies (PSRB)), placement and training providers and\/or regulator. This may occur where concerns in relation to your health and\/or conduct arise and the University considers it necessary for them to be disclosed to one or more of the above organisations. The University\u2019s Privacy Notice for Registered Students (which is accessible via this link<\/a>) includes further information about how the University may use and process your personal data, including the legal basis and conditions which may be relevant to such processing (see section 6 of the Privacy Notice). The University will only disclose special category data (such as data relating to your health) to a third party organisation where one of the additional conditions are satisfied (see section 9 of the Privacy Notice), including where processing is necessary for reasons of substantial public interest.<\/p>\n\n 180 credits required for a MRes, 120 credits for a PGDip.<\/p>\n All pathways:<\/strong><\/p>\n Experimental Psychology with Data Science:<\/strong><\/p>\n Cognitive Neuroscience and Neuropsychology:<\/strong><\/p>\n Research component:<\/strong><\/p>\n <\/p>\n Unit Lead: Andrew Stewart<\/p>\n Course unit overview<\/strong><\/p>\n The topics covered will include:<\/p>\n Aims<\/strong><\/p>\n Learning Outcomes<\/strong><\/p>\n Having attended the unit, students will be able to:<\/p>\n Assessment Method<\/strong><\/p>\n Continuous assessment. Two assignments. Each topic will be formally assessed by a written assignment, worth 50% of the marks for this module.<\/p>\n Data Wrangling and Data Visualisation: the form of assessment varies from year to year but will involve using the tidyverse packages to tidy and visualise data using R. You will need wrangle\/tidy a data set that will be provided to you and then create visualisations of the dataset in R. Your report will be written in R Markdown.\u00a0 (1000 words equivalent).<\/p>\n ANOVA: the form of assessment varies from year to year. You will analyse and discuss data sets provided to you. You will be asked to carry out the appropriate analyses and for each dataset, write a results section (where you only report on descriptive and inferential statistics) and a brief discussion section (where you interpret the results, based on the analyses you carried out). Your report will be written in R Markdown.\u00a0 (1000 words equivalent).<\/p>\n This unit is suited to anyone working as a health worker or researcher who is interested in learning about qualitative research methods. Some students take this unit to better understand published research. Others who have previously only studied quantitative research methods take this unit to gain an insight into different ways of thinking about research. For students who are planning a career or research using these methods, this unit is an excellent introduction.<\/p>\n This unit is designed to introduce students to the theory behind qualitative research and a number of qualitative research methods. On completion, students should be able to understand and appreciate qualitative research and undertake basic research.<\/p>\n This is an interactive online course. 10% of the total marks for this course will be awarded to an assessed online group task. Students are therefore expected to engage with one another.<\/em><\/p>\n Aims<\/strong><\/p>\n To enable students\u00a0to develop the skills to use qualitative methodology in\u00a0public health and primary care research.<\/p>\n Learning outcomes<\/strong><\/p>\n On completion of this unit, successful students will be able to:<\/p>\n Syllabus<\/p>\n Course unit overview<\/strong><\/p>\n This unit provides comprehensive training in contemporary research skills for careers in academic, clinical and industrial settings. Students will develop and apply essential research skills in experimental design, literature review, research proposal writing, academic software use, dealing with ethical and data protection issues, and working in clinical and industrial settings.\u00a0 They will also learn to situate research in a broader context, communicate science, engage with society and carry out their social responsibility.\u00a0 Equipped with a range of professional skills (e.g., CV writing, Web presence, social media, oral presentation), students will ultimately produce a portfolio of work to support their career plans.<\/p>\n Aims<\/strong><\/p>\n These include:<\/p>\n Learning outcomes<\/strong><\/p>\n By the end of this course unit, students will be able to:<\/p>\n Assessment methods<\/strong><\/p>\n Students will amass a portfolio of work demonstrating their acquired research skills and supporting their desired careers. The portfolio will consist of three skill components, which include a core skill component (i.e., a research proposal + data management plan) and from the optional skill components (e.g., job application, oral presentation on a chosen research topic, science communication, patient\/user involvement plan, public engagement proposal, effective web presence, etc.).<\/p>\n Credit Rating:<\/strong> 15<\/p>\n Course Unit Overview<\/em><\/strong><\/p>\n Psychology is an ever-evolving discipline and it is constantly challenged to question its assumptions regarding research methods owing to difficulties in replication and a heightened scrutiny within academic environments. This unit keeps pace with such advances by describing the rationale, designs and techniques for an array of advanced research methods in experimental psychology, supported by practical skills training in experimental programming.<\/p>\n Aims<\/em><\/strong><\/p>\n Learning Outcomes<\/em><\/strong><\/p>\n By the end of this course unit, students will be able to:<\/p>\n Teaching and Learning Methods<\/em><\/strong><\/p>\n Semester 2, weekly 2-hour seminars or workshops, providing an explanation of each research method and skills training.<\/p>\n Assessment Methods<\/em><\/strong><\/p>\n Two assignments.\u00a0 The first assignment (30%) tests your acquired skills in experimental programming.\u00a0 It involves building an experiment against a set of specifications.\u00a0 The second assignment involves a written report (70%), including practical exercises and coursework in two areas (e.g., signal detection theory, eyetracking, advanced reaction times, questionnaires).<\/p>\n Course unit overview<\/strong><\/p>\n The module will consist of six workshops on: advanced analysis techniques in R (four workshops), MATLAB, and Bayesian statistics.<\/p>\n \u2022 The workshops on R will further develop students\u2019 data wrangling, data visualisation, and statistical modelling skills in the R programming environment. They will also provide the opportunity to use a range of advanced R packages including lme4 for (generalised) linear mixed models.<\/p>\n \u2022 The workshop on MATLAB will introduce the MATLAB programming environment. It will cover programming and simulation-based statistics. The teaching will be complemented by real-time demos and after-class exercises.<\/p>\n \u2022 The workshop on Bayesian approaches to statistics will cover the application of Bayesian models.<\/p>\n Aims<\/strong><\/p>\n Learning outcomes<\/strong><\/p>\n Having attended the course unit, students will be able to:<\/p>\n Assessment methods<\/strong><\/p>\n Continuous assessment. Two assignments. Each topic will be formally assessed by a written assignment, worth 50% of the marks for this course unit.<\/p>\n Linear Mixed Modelling in R: the form of assessment varies from year to year. Each student will be required, for example, to carry out analysis based on provided data and write a short report of the analysis using R Markdown (1000 words equivalent).<\/p>\n Hackathon: the assessment will require each student to carry out data wrangling, data visualization, and statistical modelling on a large dataset of their choosing (e.g., downloaded from one of the \u2018big data\u2019 repositories such as Kaggle, Gapminder, or Google Dataset Search) or a large open dataset from a Psychological research area. The data wrangling, visualization, and modelling will be written up using R Markdown. (1000 words equivalent).<\/p>\n Course unit overview<\/strong><\/p>\n During Semester 1, students will be provided with some suggestions for possible projects and\/or project areas, as well as encouraged to use staff web pages to identify areas of research in which the student has an interest.<\/p>\n Students will put forward their ideas for an empirical study, and these will be used to match them up with a supervisor within the School who is familiar with the area and is willing to supervise the proposed project or onethat is similar (project to be agreed between student and supervisor). Then, the student and supervisor will meet (October\/November, Semester 1) to arrive at a preliminary outline of a dissertation research proposal.<\/p>\n The student will be required to develop the outline proposal into a fully designed project prior to a meeting (June\/July, Semester 2), at which the student and supervisor will finalise the design and all aspects of the conducting of the research (including future supervisory meetings) over the summer. Thus, the supervision period will extend across the whole academic year.<\/p>\n For ESRC 1+3 students, the dissertation will serve as a pilot study for their 3-year PhD research. For other MRes students, it will be a standalone research study.<\/p>\n Aims<\/strong><\/p>\n Learning outcomes<\/strong><\/p>\n By the end of the course unit students will:<\/p>\n Assessment methods<\/strong><\/p>\n Students will produce a dissertation (80%), present a poster (15%) and be assessed on their professionalism (5%).<\/p>\n Course Unit Overview<\/em><\/strong><\/p>\n This unit will guide you through methodological, experimental, practical and ethical issues encountered in cutting-edge neuropsychological and clinical neuroscience research. You will learn about neuroimaging and other neuroscience techniques in a module that combines a basic-science perspective with a number of clinical case-study perspectives. You will examine how theories of cognitive neuroscience can be informed by evidence from converging neuropsychological and neuroimaging findings and explore how they are applied in healthcare settings.<\/p>\n <\/p>\n Aims<\/em><\/strong><\/p>\n Learning Outcomes<\/em><\/strong><\/p>\n By the end of the course unit, you will be able to:<\/p>\n Teaching and Learning Methods<\/em><\/strong><\/p>\n Semester 2, weekly 2-hour seminars, with practical worked examples in class and concluding summary lecture.<\/p>\n Assessment Methods<\/em><\/strong><\/p>\n Two pieces of coursework each worth 50%: One piece of coursework will focus on one of the research methods, and the other will explore the experimental, practical and\/or ethical issues associated with working with a clinical population. Each assignment is worth 50%.<\/p>\n For information on layout and presentation of dissertations see the Guidance for the Presentation of Taught Masters Dissertations.<\/p>\n 1. You need to stick to the format for dissertations outlined in the Faculty guidelines. If something isn\u2019t specified in the guidelines (for example, if you want to number sections), try to follow a fairly standard format, for example APA format or the format adopted in University PhD theses.<\/p>\n 2. We do not insist on APA format, but you should consult your supervisor. Whatever format you choose, you should be consistent throughout your dissertation.<\/p>\n 3. The word limit is between 10,000 \u2013 15,000 words but the \u2018norm is approx. 12,000.<\/p>\n The dissertation module follows the University\u2019s Policy on Marking\u00a0 and the Assignment Word Count Guideline which you will find on page 13 above but you cannot exceed the 15,000 word limit.<\/p>\n We suggest as guidance a lower limit of 10,000. In practice, 12,000 words is likely to be appropriate for most people, but this may not be true for all projects. It\u2019s best to talk to your supervisor if your word count is going to be lower to ensure you are covering all the relevant info. Students should be aware that the dissertation forms a substantial piece of work, and as such, the literature review should be thorough and will generally include more information than you might find in a journal article on the same topic. However, we recognise that different types of project have different requirements in terms of the amount of information needed in Methods sections and Results sections, and some may lend themselves to longer Discussions of results than others. You should therefore seek guidance from your supervisors who are experts in your field of research. As your supervisor will also be one of the two markers for your dissertation, they are the best people to consult.<\/p>\n The reason we have strict word limits is to encourage students to write concisely. It should be entirely possible to write both quantitative and qualitative dissertations in 15,000 words. We use the length of a journal article in the field as a gauge here, and it is uncommon to have standard articles of longer than 15,000 words accepted for publication. Consider placing some text (where appropriate) in Appendices.<\/p>\n 4. There are no guidelines for the number of words allocated to each section of the dissertation as projects differ widely. However, bear in mind that your Introduction and Discussion are usually related. So if you discuss a wide range of background literature to motivate your study, the reader will expect to see reference to this literature in your Discussion. It would be unusual to introduce a large body of research in your discussion that had not previously been mentioned in your Introduction, or analyses that were not in your Results. Method sections should be succinct but contain sufficient information for someone to replicate your study.<\/p>\n 5. You can use footnotes but these will be included in your word count.<\/p>\n 6. Your dissertation will be marked by your supervisor and one other person. They will then agree a mark. A selection of dissertations will be sent to our external examiners. Their role is to check that marking is consistent, and to advise us if they think any marks are inappropriate. They always see borderline dissertations (those on the borderline between degree classifications), fails, distinctions, and any where two markers disagree substantially on the mark to be awarded (this rarely happens in practice), plus a handful of others.<\/p>\n 7. You do not need to include all of your data in the Appendices, although it might be helpful to include sample data, especially if you have an elaborate coding scheme. It is generally good practice to include (a sample of) your materials, for example if you have designed questionnaires, used a series of sentences or visual stimuli for your task and so on. You do not need to include all your ethics application, but you may wish to include advertisements for participants if you think it is relevant to your project, for example if the advert is likely to have attracted a particular kind of participant that may have influenced your results in some way.<\/p>\n 8. You do not have to use Endnote for your references, although of course you may do so if you wish.<\/p>\n 9. You must put your ethical approval form in your appendix. If approval was sought by your supervisor prior to working on the project, you will need to ask them for a copy.<\/p>\n 10. Finally, the best person to consult for guidance is your supervisor. But if anyone has any other questions, please feel free to email the Programme Directors and they will do their best to advise.<\/p>\n Marking<\/p>\n Always check with your supervisor what they are looking for when marking the work. Supervisors will be provided with the guidelines below (subject to change \u2013 up to date guidance will be provided during the course of the year): <\/p>\n All students at dissertation level are allocated a Supervisor. Briefly, the responsibilities of the Supervisor include: giving guidance about the nature of research and the standard expected; the planning of the research programme; and pointing the Student towards relevant literature and other sources of information.<\/p>\n The relationship between the Student and their Supervisor is of central importance. Both the Student and the Supervisor have a responsibility to ensure that the dissertation is completed within the prescribed period of the programme. Supervisors and students should establish at their initial meeting clear and explicit expectations of each other in order to minimise the risks and problems of misunderstanding, inadequate supervision and unsatisfactory work.<\/p>\n Progress monitoring meetings must be closely documented. It should be noted that in some instances students may be jointly supervised by staff, and be assigned a principal and second supervisor.<\/p>\n If you have any queries or concerns at any time during your period of study, there is a range of people you can approach:<\/p>\n Please do not assume you can record lectures with a voice recorder or similar device. If you wish to record a lecture or other teaching session, ensure you obtain the prior permission of the lecturer. You may not share any recordings with any other person (including by electronic media) without first being given specific permission by the lecturer.<\/p>\n <\/p>\n The programme is managed and operated in accordance with the policies, principles, regulations and procedures of The University of Manchester.<\/p>\n The Programme Directors, have day-to-day responsibility for the management of the programmes and are assisted by the Programme Administration Team.<\/p>\n The Programme Committee meet 3 times a year. The committee\u2019s functions and responsibilities are to maintain the standards of teaching, to evaluate and revise the programme in the light of feedback, to monitor student progression and to provide a forum for discussion between the University and the students.<\/p>\n The Programme Committee reviews the annual monitoring report and acts on recommendations arising from the annual monitoring process.<\/p>\n The membership of the Programme Committee includes: the Programme Directors; the Programme Administration Team; Teaching Staff and Student Representatives.<\/p>\n The Programme Committee report to the Consortium and School PGT Committee.<\/p>\n\n The External Examiner for this programme is Dr Christoph Scheepers, based at the University of Glasgow.<\/p>\n Please note that it is for information only and it is inappropriate for students to make direct contact with External Examiners under any circumstances, in particular with regards to a student\u2019s individual performance in assessments. Other appropriate mechanisms are available for students, including the University\u2019s 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 Programme Administrator in the first instance. External Examiner<\/span> External Examiners\u2019 reports <\/p>\n <\/p>\n All assessed work must be handed in at the prescribed time. Dates will be published in advance of the deadline.\u00a0We recommend that you transfer these dates to your diaries as soon as they are published.<\/strong><\/p>\n In accordance with the University\u00a0Policy on Marking<\/a>:<\/p>\n Each written assignment has a word limit 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.<\/p>\n For an original word limit that is 1000 words and an assignment that is marked out of 100. \u00a0If 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.<\/p>\n 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:<\/p>\n 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.<\/p>\n\n All assignments must be submitted electronically. The published deadlines for assessments all relate to the electronic submission which is completed via Blackboard, using the Turnitin system in the majority of cases. You must submit by the deadline advertised in your timetable\/assessment handbook.<\/p>\n The University uses electronic systems for the purposes of detecting plagiarism and other forms of academic malpractice and for marking. Such systems include Turnitin, the plagiarism detection service used by the University.<\/p>\n The School also reserves the right to submit work handed in by you for formative or summative assessment to Turnitin and\/or other electronic systems used by the University.<\/p>\n 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.<\/p>\n Please note that you can only upload one document so you cannot save your references\/appendices as a separate document.<\/p>\n <\/p>\n The University of Manchester guidance on presentation of taught Master's Dissertations is available at: The guidance explains the required presentation of the dissertation, and failure to follow the instructions in the guidance may result in the dissertation being rejected by the examiners.<\/p>\n There is more information on taught master's dissertation requirements on Blackboard: https:\/\/my.manchester.ac.uk\u00a0<\/a><\/p>\n\n <\/p>\n On rare occasions students may need to request an extension to a coursework deadline due to circumstances beyond their control. If you need to request an extension to your assignment submission deadline then you must submit an extension request form which must be accompanied by supporting evidence (medical letters, certificates or other appropriate evidence). The supporting evidence must justify the length of the requested extension.<\/p>\n The extension request form is available via the Student Support Team (studentsupport.sbspgt@manchester.ac.uk).<\/p>\n The form should be submitted as soon as possible before <\/strong>the coursework deadline and should be submitted to the Student Support Team.<\/p>\n It is your responsibility to ensure that your request has been received.<\/p>\n You will be notified of the outcome of your request via email as soon as possible. Please note that an extension to a deadline is classed as mitigation. Mitigation can only be applied once to a piece of work. i.e. you cannot have an deadline extension and also apply for mitigation for poor performance due to the same circumstances.<\/p>\n <\/p>\n 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.\u00a0 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.<\/p>\n Penalties for late submission relate to 24 hours\/calendar days, so include weekends and weekdays, as well as bank holidays and University closure days.<\/p>\n The mark awarded for the piece of work will be reduced by: 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.<\/p>\n 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.<\/p>\n 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.<\/p>\n For further information:<\/p>\n Guidance on Late Submission<\/a><\/p>\n Policy on the Submission of Work for Summative Assessment on Taught Programmes<\/a><\/p>\n\n <\/p>\n Academic malpractice is any activity \u2013 intentional or otherwise \u2013 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.<\/p>\n The procedures and penalties for dealing with academic malpractice are covered by the same regulation as apply to Conduct and Disciple of Students (Regulation XVII)<\/a>.<\/p>\n 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 advisor.<\/p>\n As further support for students, the Faculty of Biology, Medicine and Health has developed an Introductory Course. This unit must be completed by all postgraduate taught students and will allow you to test your understanding of what constitutes plagiarism and academic malpractice. You can access the resource via Blackboard. Log in to My Manchester<\/a> and click on the Blackboard tab. The online resource will be listed under the My Communities heading. The module should be completed as soon as possible after you begin your programmes, but must be completed before you submit your first piece of academic work for assessment.<\/p>\n <\/p>\nKey Contact Details<\/h2>\n
\n\u2022 studentsupport.sbspgt@manchester.ac.uk<\/p>\n
\n\u2022 assessment.sbspgt@manchester.ac.uk<\/p>\n
\n\u2022 curriculum.sbspgt@manchester.ac.uk<\/p>\n
\n\u2022 To be appointed democratically<\/p>\n
\n\u2022 Professor Nicky High
\n\u2022 nicky.high@manchester.ac.uk<\/a><\/p>\n
\n\u2022 Professor Sarah Herrick
\n\u2022\u00a0sarah.herrick@manchester.ac.uk<\/a><\/p>\n
\n\u2022 Kerry Mycock
\n\u2022\u00a0kerry.mycock@manchester.ac.uk<\/a><\/p>\n
\n\u2022 Kelly Salimian
\n\u2022\u00a0kelly.salimian@manchester.ac.uk<\/a><\/p>\n
\n\u2022 Helen Johnson
\n\u2022\u00a0helen.johnson-7@manchester.ac.uk<\/a><\/p>\n
\n\u2022 Dr Karen Lander
\n\u2022 Karen.Lander@manchester.ac.uk<\/a><\/p>\nBlackboard<\/strong><\/h2>\n
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School\/University Facilities<\/h2>\n
Computers and printers:<\/h3>\n
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Food\/Drink on Campus<\/strong><\/h3>\n
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International students<\/h3>\n
Sharing Information<\/h2>\n
Programme Information<\/h1>\n
Programme Structure<\/h2>\n
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Course Units<\/h2>\n
BIOL63101 Advanced Data Skills, Open Science and Reproducibility<\/strong><\/h3>\n
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POPH 63121 Qualitative Research Methods<\/h3>\n
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BIOL63151 Contemporary Research Skills<\/h3>\n
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BIOL 63122: Research Methods in Experimental Psychology<\/strong><\/h3>\n
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BIOL63112 Advanced Statistics Workshop<\/h3>\n
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BIOL63160 Dissertation<\/h3>\n
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BIOL 63172: Research in Neuropsychology and Clinical Neuroscience<\/strong><\/h3>\n
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Dissertation information for students<\/h2>\n
\n\u202215% \u2013 Context \/ Background \/ Introduction
\n\u202215% \u2013 Literature Review \/ Case for the Study
\n\u202220% \u2013 Design of Study or Methods
\n\u202220% \u2013 Results
\n\u202220% \u2013 Discussion
\n\u202210% \u2013 Presentation and Referencing<\/p>\nSupervisor <\/strong><\/h2>\n
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Recording Lectures<\/h2>\n
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Programme Management<\/strong><\/h2>\n
Programme Committee<\/strong><\/h2>\n
External Examiner<\/h2>\n
\n<\/strong>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.<\/p>\n
\n<\/strong>External Examiners\u2019 reports relating to this programme will be shared with student representatives at the Staff Student Liaison Committee and\/or Programme Committee where details of any actions carried out by the programme team\/School in response to the External Examiners\u2019 comments will be discussed. Students should contact their student representatives if they require any further information about External Examiners\u2019 reports or the process for considering them.<\/p>\n\nProgress and Assessment<\/strong><\/h1>\n
Deadlines for Assessed Work <\/strong><\/h2>\n
Assignment Word Count (Including Dissertation)<\/strong><\/h3>\n
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Submitting your work<\/strong><\/h2>\n
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Turnitin<\/strong><\/h2>\n
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Guidance for Presentation of Taught Master's Dissertations<\/strong><\/h3>\n
\nGuidance for the presentation of Taught Master's dissertations<\/strong><\/a><\/p>\nExtensions to Assignment Deadlines<\/strong><\/h2>\n
Late Submission Penalty (Including Dissertation)<\/strong><\/h3>\n
\n10% of the available marks deducted if up to 24 hours (1 day) late
\n20% of the available marks deducted if up to 48 hours (2 days) late
\n30% of the available marks deducted if up to 72 hours (3 days) late
\n40% of the available marks deducted if up to 96 hours (4 days) late
\n50% of the available marks deducted if up to 120 hours (5 days) late
\n60% of the available marks deducted if up to 144 hours (6 days) late
\n70% of the available marks deducted if up to 168 hours (7 days) late
\n80% of the available marks deducted if up to 192 hours (8 days) late
\n90% of the available marks deducted if up to 216 hours (9 days) late
\n100% of the available marks deducted if up to 240 hours (10 days) late<\/p>\nAcademic Malpractice<\/strong><\/h2>\n
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Feedback for Assessments<\/strong><\/h2>\n