PROGRAMME SPECIFICATION
PROGRAMME SPECIFICATION
Programme title:
MSc in Medical Image Computing
Final award (BSc, MA etc):
MSc
(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:
From 2007 onward
(e.g. from 2015 intake onwards)
Awarding institution/body:
University College London
Teaching institution:
University College London
Faculty:
FES
Parent Department:
Medical Physics and Bioengineering
(the department responsible for the administration of
the programme)
Departmental web page address:
www/medphys.ucl.ac.uk
(if applicable)
Method of study:
FT/PT
Full-time/Part-time/Other
Criteria for admission to the
programme:
2.1 or higher in a numerate subject with an emphasis on
computing. 2.2 may be acceptable in some
circumstances.
Length of the programme:
12 months full time and 24 months part time
(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)
Masters Level (Level 7)
Not applicable
(see Guidance notes)
Brief outline of the structure of the
programme
and
its
assessment
methods:
(see guidance notes)
http://cmic.cs.ucl.ac.uk/msc/
Board of Examiners:
Name of Board of Examiners:
Board of Examiners in MScs of Medical Physics and Bioengineering
Professional body accreditation
(if applicable):

Date of next scheduled
accreditation visit:
EDUCATIONAL AIMS OF THE PROGRAMME:
The MSc aims to provide students who already have some computing experience with a knowledge of medical
image computing to allow them to participate effectively in a research, industrial or healthcare environment. In
particular, the programme will: (1) Introduce students to human anatomy and clinical medical imaging. (2) Provide a
background in the main imaging modalities. (3) Give students the skills to manipulate and process medical images.
(4) Give students knowledge about industrial uses of medical image computing and research into emerging areas of
medical imaging. (6) Provide training in research skills and methods. (7) Teach the applications of medical image
computing from diagnosis to therapy.
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:
Knowledge and understanding of:(a)
research methods(b) medical image
acquisition(c) uses of medical images in
diagnosis and treatment(d) image
processing and imaging science(e)
human anatomy and physiology(f) the role
of imaging in supporting clinical decision
making.
(a) lectures and research project (b) lectures and
demonstrations/visits (c) lectures (d) lectures (e)
demonstrations (f) lectures
Assessment:
(a) dissertation (b) unseen exam (c) unseen exam (d)
unseen exam (e) spot tests and exam (f) coursework
B: Skills and other attributes
Intellectual (thinking) skills:
Teaching/learning methods and strategies:
(a) critical analysis of other work (b) plan
a research project
a) research project and oral presentation on topic from
external speakers (b) research project
Assessment:
a) dissertation and oral (b) dissertation
C: Skills and other attributes
Practical skills (able to):
Teaching/learning methods and strategies:
(a) Use computer programming
environments such as MATLAB and C++
(b) See transferable skills below
lectures and coursework
Assessment:
Coursework
D: Skills and other attributes
Transferable skills (able to):
Teaching/learning methods and strategies:
a) Write reports and dissertations (b)
Prepare and present a technical poster (c)
Present material orally. (d) Use computer
programming environments (e) Use
computer resources and information
technology
a) research project (b) used to summarise the research
project (c) oral presentations based on seminar
programme (d) lectures and coursework (e) independent
study required throughout the course.
Assessment:
a) dissertation (b) posters presented on a poster day and
judged (c) marked oral presentation (d) exam and
coursework (e) not assessed on its own.
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)
Dr D. Atkinson
Name(s):
Date of Production:
April 2004
Date of Review:
July 2006
Date approved by Head of
Department:
25/July 2008
Date approved by Chair of
Departmental Teaching
Committee:
Date approved by Faculty
Teaching Committee
25/July/2008