PROGRAMME SPECIFICATION
Programme title:
Final award (BSc, MA etc):
(where stopping off points exist they should be
Computational and Genomic Medicine
MSc detailed here and defined later in the document)
UCAS code:
(where applicable)
Cohort(s) to which this programme specification is applicable:
(e.g. from 2008 intake onwards)
Awarding institution/body:
Teaching institution:
Faculty:
Parent Department:
(the department responsible for the administration of the programme)
Divisonal/Departmental web page address:
(if applicable)
Method of study:
Full-time/Part-time/Other
Criteria for admission to the programme:
N/A
2014 intake onwards
University College London
University College London
Life Sciences
Division of Biosciences http://www.ucl.ac.uk/ugi/education/
Full time
Normally, a minimum of an upper-second class UK Bachelor's degree in computer sciences, biomedical sciences or a medical degree
(MBBS) plus demonstrable competence in mathematics and computer programming.

Overseas qualification of an equivalent standard;

Applicants from other disciplines with an appropriate professional qualification and relevant work experience may also apply.
One calendar year full time. 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)
7
At date of production, no relevant postgraduate benchmark.

Brief outline of the structure of the programme and its assessment methods:
(see guidance notes)
The programme is delivered through a combination of lectures, seminars and tutorials, and will draw together cross-departmental teaching from Biosciences, Medicine, Epidemiology and Statistics.
Student performance is assessed through coursework, unseen examination and the research project.
. (Note: the maximum number of attempts at any assessment will
remain at 2) i) Name of Board of Examiners:
MSc Computational and Genomic Medicine
Board of Examiners:
Professional body accreditation
(if applicable):
N/A Date of next scheduled accreditation visit:
EDUCATIONAL AIMS OF THE PROGRAMME:
The MSc in Computational and Genomic Medicine is a unique programme in the UK. It aims to provide students with a general knowledge of Bioinformatics and to equip them with the specialised knowledge and skills required to use post-genomic data for predicting and defining the genetic basis of various human diseases, and to allow students to be able to analyse human genomic data to develop innovative diagnostic tools and therapeutic approaches.
This MSc will provide an integrated view of computational and genomic science research. Students will obtain a thorough grasp of the statistical and computational tools used for analysis of biological and biomedical datasets together with good understanding and ability to analyse and interpret genomic data and to investigate the role of single or multiple genes and DNA sequence variants in diseases processes, both in individuals and in populations.
Students will be offered exciting state of the art in-silico biostatistical/computational based projects which allow them to learn cutting edge methods to analyse sequence data.
PROGRAMME OUTCOMES:
The programme provides opportunities for students to develop and demonstrate knowledge and understanding, qualities, skills and other attributes in the following areas:
A: Knowledge and understanding
Knowledge and understanding of: Teaching/learning methods and strategies:
Advanced Human Genetics
Bioinformatics resources and their applications (basics of gene Ontology)
Biomedical Statistics and Statistical computing
Principles of major cardiovascular and neurogenetic disorders
Taught and electronic lectures
Tutorials
Seminars
Private reading
Research Project
Assessment:
Written examination
Presentations
Essays
Journal Club

Intellectual (thinking) skills:
Ability to disseminate complex data and concepts
Presentation and writing skills
Critical appraisal of scientific literature
Problem solving
B: Skills and other attributes
Teaching/learning methods and strategies:
Small groups seminars
Research project and dissertation
Exams
Assessment:
Written examination
Poster presentation
Presentations
Essays
Journal Club
Practical skills (able to):
(1) Manage and design a project, manage time efficiently, learn techniques and methodologies in modern scientific
C: Skills and other attributes
Teaching/learning methods and strategies:
Seminars
Lectures
Dissertation research.
(2) Presentation of ideas, concepts and original research in a clear and concise manner. Scientific writing.
(3) Efficient database searches
Transferable skills (able to):


Effective communication
Discuss and present a complex topic

Groupwork/teamwork

Self assessment and peer assessment

Initiative/proactive approach
acquire independent learning ability and self-direction
Exams
D: Skills and other attributes
Assessment:
Dissertation
Presentations
Teaching/learning methods and strategies:
Seminars
Tutorials
Journal Clubs
Lectures
Assessment:
Dissertation
Presentations
Exams
The following reference points were used in designing the programme:

the Framework for Higher Education Qualifications
( http://www.qaa.ac.uk/Publications/InformationAndGuidance/Pages/quality-code-A1.aspx
);

the relevant Subject Benchmark Statements
( http://www.qaa.ac.uk/Publications/InformationAndGuidance/Pages/quality-code-A2.aspx
);

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)
Name(s):
Professor Steve Humphries
Date of Production: 8 th August 2013
April 2014 Date of Review:
Date approved by Head of
Department:
Date approved by Chair of
Departmental Teaching
Committee:
Date approved by Faculty
Teaching Committee
24 th July 2013