PROGRAMME SPECIFICATION PROGRAMME SPECIFICATION Programme title: MSc in Advanced Neuroimaging Final award (BSc, MA etc): MSc, PG Diploma (where stopping off points exist they should be detailed here and defined later in the document) UCAS code: (where applicable) Cohort(s) to which this programme specification is applicable: January 2014 intake onwards (e.g. from 2008 intake onwards) Awarding institution/body: University College London Teaching institution: University College London Faculty: Brain Sciences Parent Department: Institute of Neurology (the department responsible for the administration of the programme) Departmental web page address: (if applicable) Method of study: Full-time/Part-time/Other Criteria for admission to the programme: Length of the programme: (please note any periods spent away from UCL, such as study abroad or placements in industry) Level on Framework for Higher Education Qualifications (FHEQ) (see Guidance notes) Relevant subject benchmark statement (SBS) (see Guidance notes) Face-to-Face Learning: Full-time/Part-time Distance Learning Blended Learning A first or second class Honours degree from a UK university or an equivalent qualification from a recognized overseas institution, in which physics, computer science, radiography, clinical medicine or related disciplines form major components. Students with other qualifications may also be admitted if they possess relevant experience in a field related to neuroradiology and/or medical physics. Face-to-Face: 1 year Full Time / 2 years Part Time Distance Learning: October Entry: 2 years Part Time / 1 year Full Time January Entry: 2 years Part Time / 18-months Part Time Up to 5 years flexible Blended Learning Up to 5 years flexible 7 There is no relevant subject benchmark statement at the time of writing. Brief outline of the structure of the programme and its assessment methods: The MSc programme is comprised of 180 MLevel credits: - (see guidance notes) 6 x 15-credit compulsory taught modules, comprising 90 credits: 1) ANIMGN07 Physical Sciences Module 1 Introductory Science and Methods or ANIMGN18 Physical Sciences Module 1 – Introductory Science and Methods (Distance Learning) 2) ANIMGN12 Physical Sciences Module 2 – Imaging Modalities or ANIMGN19 Physical Sciences Module 2 – Imaging Modalities (Distance Learning) P1/P1D is a prerequisite for this module. For students from other faculties or programmes of study, they must demonstrate adequate and appropriate prior learning by submission of a resume to the course director / module convener. 3) ANIMGN11 Physical Sciences Module 3 – Advanced Imaging or ANIMGN20 Physical Sciences Module 3 – Advanced Imaging (Distance Learning) This module is more advanced than P2/P2D. Modules P1/P1D and P2/P2D are intended as preparation for the material here and are prerequisites. For students from other faculties or programmes of study, they must demonstrate adequate and appropriate prior learning by submission of a resume to the course director / module convener. 4) ANIMGN08 Clinical Module 1 – Foundational Neuroanatomy, Systems and Disease or ANIMGN14 Clinical Module 1 – Foundational Neuroanatomy, Systems and Disease (Distance Learning) 5) ANIMGN09 Clinical Module 2 - Pathology and Diagnostic Neuroimaging I or ANIMGN17 Clinical Module 2 - Pathology and Diagnostic Neuroimaging I (Distance Learning) This module is quite advanced. Module C1/C1D is intended as preparation for the material here and is a prerequisite. For students from other faculties or programmes of study, they must demonstrate adequate and appropriate prior learning by submission of a resume to the course director / module convener. - 6) ANIMGN10 Clinical Module 3 - Pathology and Diagnostic Neuroimaging II or ANIMGN16 Clinical Module 3 - Pathology and Diagnostic Neuroimaging II (Distance Learning) 30 credit library project module 60 credits research project The Post-graduate Diploma is comprised of 120 MLevel credits: as above excluding the 60-credit research project. The research project is assessed by means of written thesis with a Viva to confirm the overall mark. Three taught modules are each assessed by multiple choice exam and three by short answer unseen exam and coursework. Board of Examiners: i) Name of Board of Examiners: MSc in Advanced Neuroimaging Professional body accreditation (if applicable): Not applicable Date of next scheduled accreditation visit: EDUCATIONAL AIMS OF THE PROGRAMME: The MSc in Advanced Neuroimaging is specifically aimed at those pursuing a professional career in neuroimaging, either in clinical practice or in neuroscience research. The multidisciplinary approach is designed to provide specialized training in both the basic scientific and technological principles of modern neuroimaging methods, and in their application to the understanding of neurological function and neurological disorders. It is designed as a higher degree course suitable for clinical graduates having some experience in neuroradiology, neurology or neurosurgery, and for non-clinical graduates with a degree in physics, engineering, radiography or related subjects. The programme will provide the knowledge and skills base essential for a future research career in the areas of neuroradiology, imaging neuroscience or neuroimaging technology. PROGRAMME OUTCOMES: The programme provides opportunities for students to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas: Upon successful completion of the MSc course, students will have developed a broad knowledge of the principles that underlie advanced neuroimaging techniques and of their application to improving our understanding of normal brain function and clinical disorders of the central and peripheral nervous system. In particular they will: Have a good basic knowledge of neuroanatomy. Understand the principles and main technical aspects of neuroimaging instrumentation and data acquisition, basic image processing (and identify its need) and image analysis techniques. Have a good working knowledge of modern methods for scientific and clinical investigation of the human nervous system using neuroimaging. Be aware of the major recent developments in research in the area of neuroimaging. Be able to embark upon a successful career in their chosen field of imaging neuroscience research or neuroradiology. A: Knowledge and understanding Knowledge and understanding of: Teaching/learning methods and strategies: the principles and range of techniques used in neuroimaging and their contribution to the investigation of normal brain function and clinical disorders of the central and peripheral nervous system. The course has five main themes divide into six modules: Theme I: Introductory Science and Methods Theme II: Imaging Modalities Theme III: Advanced Imaging Theme IV: Foundational Neuroanatomy, Systems & Disease Theme V: Pathology & Diagnostic Imaging I & II The main teaching method consists of lectures delivered by experts in various fields of neuroimaging (engineers, neurologists, neuroradiologists and physicists). Lectures are supported by audio-visual aids and supplementary materials e.g. hand-outs, reading-lists and references to original papers and/or reviews. Most topics will be covered by lectures under two or more themes. As a general teaching strategy we are moving towards facilitating learning by e.g. making the lectures more interactive. Methods for encouraging more student participation include (1) experimenting with different questioning techniques (2) the class working in buzzgroups (and reporting back to plenary) and (3) e-mailing students a question/vignette so they can prepare in advance of a lecture. In addition, introductory lectures are given by our PhD students taking part in our postgraduate ‘Peer-tutoring’ training scheme. Each student will be assigned an individual Personal Tutor (a member of the MSc Committee) who will monitor the student’s academic achievement and attend to their pastoral care. There are a number of workshops where students gain both knowledge and some understanding of practical skills related to a range of aspects of Neuroimaging research (both clinical and basic science). The monthly seminar series organised by the UCL Centre for Neuroimaging Techniques, which attracts eminent speakers, will form part of the teaching programme. Students gain further understanding of neuroimaging and its applications in the independent learning situation of their library and research projects. Assessment: The knowledge and understanding of neuroimaging and related sub-disciplines is assessed by: (1) three written papers (2) three MCQ papers (3) a library project and (4) the main research project. Students also complete an electronic Lab Book which they submit as coursework to assess their workshops on three modules. B: Skills and other attributes Intellectual (thinking) skills: Critical evaluation of current developments Teaching/learning methods and strategies: In all components students are encouraged to apply a critical examination of evidence, firstly of the experiments which support scientific findings and, secondly, the application of scientific evidence to the Formulation and testing of hypotheses understanding of clinical conditions and their treatment. using appropriate experimental design, in A specific module on critical appraisal skills is run to line with statutory and other regulation develop this particular aspect of thinking skills. This module consists of a number of small group seminars. Planning, execution and writing-up of an After a taught component, the students participate in extended piece of original research practical workshops where journal papers are critically appraised by the group. The module also covers Interpreting data and evaluating presentation skills and the skills of giving constructive information from a variety of sources feedback, culminating with each student critically appraising a paper as a presentation to their peer-group Effectively using the appropriate scientific and the course tutors, all of whom are involved in literature assessing and giving feedback on each presentation. Communicating ideas and findings Students developed self direction, originality and critical thinking via consultation with their supervisors in the early stages of the library project and throughout the research project. Assessment: Thinking skills are assessed in the marking of the mock exam, the main exam, the library project and the research project dissertation and when presentations assessed. Intellectual skills (Ethics): Teaching/learning methods and strategies: Students participate in one seminar (interactive workshop) on ethics of neuroimaging research. Assessment: Students’ understanding of ethical matters are assessed indirectly when their research projects are assessed, since these usually raise a number of ethical issues, such as patient confidentiality or obtaining of informed consent, which students would be expected to address critically. C: Skills and other attributes Practical skills: (1) Neuroimaging techniques: image visualisation and analysis There are a number of workshops where students gain both knowledge and some understanding of practical skills. Teaching/learning methods and strategies: These are interactive workshops, with hands-on experience. Assessment: Workshop conveners advise students during the workshop and present example solutionas to tasks set. Students get immediate feedback on their learning and understanding and must subsequently submit an electronic Lab Book as a record of their learning. This is assessed by the workshop convener. (2) Applications of Neuroimaging: (3) Literature searching: (4) Managing references: (5) Poster-making: (6) Data-analysis and statistics: Teaching/learning methods and strategies: Students undertake a main research project. The project is intended as an exercise in scientific investigation that is written up and presented as a dissertation. The students have experience of all major components of research i.e.: searching the literature; formulating an hypothesis; principles of research design; developing good working relationships and integrating with multidisciplinary teams; laboratory, measurement and/or interviewing techniques; data collection, coding and analysis; statistical techniques, discussion and interpretation of results and the writing of a dissertation. Specific practical skills vary but could include the specification of an appropriate choice of imaging modality and image acquisition parameters, necessary pre-processing steps and/or the use of image analysis tools. Assessment: Research skills assessed when main research project is marked. Also assessed during the student’s performance in their viva. Teaching/learning methods and strategies: Literature searching, systematic reviews, meta-analysis and the principles of evidence-based medicine are taught in research training seminars. Aspects of literature searching and handling data-bases also covered during induction session by Institute library staff. Practical experience gained when students carry out their library project and research project. Assessment: Assessed when library projects and main research projects marked and at the viva. Teaching/learning methods and strategies: Reference Manager software taught by Institute library staff. Assessment: Assessed indirectly when library project and research project marked. Teaching/learning methods and strategies: Training session (interactive workshop) in using Adobe Illustrator software. Students are encouraged to make and present a poster at the annual Queen Square Student Symposium. Assessment: Not formally assessed as part of the MSc course. Teaching/learning methods and strategies: Our Institute statistician runs a number of statistics workshops, covering a range of topics, which are timetabled into the MSc lecture programme. Also, the students are encouraged to consult the statistician individually at the design stage of their research projects. Assessment: assessed indirectly as an important component of the dissertation (should be addressed by student in the Results, Study Design, Data-analysis and Discussion sections). (7) How to handle your viva: Teaching/learning methods and strategies: Seminar/interactive workshop. Discussion of what to expect - including sharing experiences/suggestions from students in previous years. Assessment: Performance at the viva. D: Skills and other attributes (1) Presentation skills: (2) Time-management skills: (3) Writing Skills: (4) Applying for jobs: (5) Asking and refining the research question: Teaching/learning methods and strategies: The students are taught presentation skills (in research training seminars) and have opportunities to present and receive critical feedback on two occassions: (1) critical appraisal of a paper and (2) research project presentations. Assessment: Two presentations, each time to an audience of peers and tutors, are assessed and scores plus comments/suggestions are fed-back to the students. Each presentation session is followed by a group reflection/ debriefing session to encourage selfassessment and deep learning. Presentations are assessed by both peers and tutors. Marks are combined and contribute to the overall mark for the Library Project module. Teaching/learning methods and strategies: Two half-session workshops several weeks apart. Brainstorming in group, sharing of tips and experiences, then a follow-up session to see what worked. Assessment: Attendance at lectures, feedback from tutors and the meeting of deadlines for submission of library project and research project. Teaching/learning methods and strategies: The students are taught writing skills in a number of research training seminars where different aspects of writing are covered : (1) writing essays (2) preparing time-limited examination answers (3) writing up a dissertation (4) the Structure and logic of scientific writing (5) how to write a paper. Assessment: Writing skills assessed when library project, mock exam, main MSc exam and research project dissertation are assessed. Teaching/learning methods and strategies: Two seminars/interactive workshops held: (1) discussion of two job specifications (real-life examples of recently advertised posts in neuroimaging), decoding the language of job adverts, how to write a personal statement; (2) preparing for tough interview questions working through examples in a group. Assessment: Not really assessed – although we do keep records of students’ first destination e.g. employment after the course. Teaching/learning methods and strategies: Taught during the weekly research training seminars in various contexts e.g. searching the literature, systematic reviews, meta-analysis and evidence-based medicine. Assessment: Assessed when library project and research project marked. The following reference points were used in designing the programme: the Framework for Higher Education Qualifications: (http://www.qaa.ac.uk/en/Publications/Documents/Framework-Higher-Education-Qualifications-08.pdf); the relevant Subject Benchmark Statements: (http://www.qaa.ac.uk/assuring-standards-and-quality/the-quality-code/subject-benchmark-statements); the programme specifications for UCL degree programmes in relevant subjects (where applicable); UCL teaching and learning policies; staff research. Please note: This specification provides a concise summary of the main features of the programme and the learning outcomes that a typical student might reasonably be expected to achieve and demonstrate if he/she takes full advantage of the learning opportunities that are provided. More detailed information on the learning outcomes, content and teaching, learning and assessment methods of each course unit/module can be found in the departmental course handbook. The accuracy of the information contained in this document is reviewed annually by UCL and may be checked by the Quality Assurance Agency. Programme Organiser(s) Prof Tarek Yousry Name(s): Dr Adam Liston Date of Production: June 2014 Date of Review: October 2014 Date approved by Head of Department: October 2014 Date approved by Chair of Departmental Teaching Committee: Date approved by Faculty Teaching Committee October 2014 November 2014