LONDON’S GLOBAL UNIVERSITY
PHYSICS AND ENGINEERING
IN MEDICINE: MEDICAL
IMAGE COMPUTING MSc /
2016/17 ENTRY
www.ucl.ac.uk/graduate/medphys
Physics and Engineering in Medicine: Medical
Image Computing MSc /
Medical image computing is an exciting and rapidly
growing field concerned with applying advanced
computing techniques to obtain and analyse
medical images and better understand, diagnose,
and treat human diseases. It is a critical aspect of
medical imaging - a field that continues to
revolutionise modern medicine and healthcare.
Degree summary This pathway aims to equip students with specialist skills and knowledge
required to solve real-world problems in medical imaging and embark on
a successful career in the rapidly growing medical imaging technology
sector, working in industry, university research, or a hospital. The focus is
on understanding and applying advanced computing techniques through
problem-based learning, practical work, and a research project.
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Degree structure Mode: Full-time: 1 year; Flexible: up to 5 years
Students undertake modules to the value of 180 credits. The programme
consists of seven core modules (105 credits), one optional module (15
credits), and a research project (60 credits).
A Postgraduate Diploma is offered.
CORE MODULES
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Medical Imaging (Ionising)
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Magnetic Resonance Imaging & Biomedical Optics
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Ultrasound in Medicine
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Clinical Practice
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Programming Foundations of Medical Image Analysis
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Information Processing for Medical Imaging
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Image Processing
OPTIONS
UCL is widely recognised as an internationally leading academic and
clinical centre for medical imaging and medical image computing,
with one of the largest research activities in the world.
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Students choose one of the following:
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Computer-assisted and Therapy
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Computational Modelling for Biomedical Imaging
Much of the material in this programme is taught by leading experts in
the field who are ideally placed to expose students to the latest
technologies developed in their research. Students therefore have a
unique opportunity to become familiar with state-of-the-art
technologies for understanding, detecting, diagnosing, treating, and
monitoring major diseases, such as cancer and dementia, as well as
many exciting new clinical applications of medical imaging.
DISSERTATION/REPORT
The programme is delivered through a combination of lectures,
demonstrations, hands-on practical sessions, hospital visits, and an
research project. Lecturers are drawn from UCL and from London
teaching hospitals including UCL, St. Bartholomew's, and the Royal Free
Hospital. Assessment is through examinations, coursework assignments,
and the project dissertation.
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All MSc students undertake an independent research project with a substantial
computing component (typically, software development drawing on real clinical data).
The project is assessed by a written report of 10,000 words, a poster and an oral
presentation.
Your career The has an excellent track record for producing skilled graduates who go
on to careers in universities, companies and hospitals around the world.
Recent career destinations* include:
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Toshiba Medical Systems, China, Software Engineer, 2015
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King's College London, PhD in Imaging Sciences, 2012
UCL Centre for Medical Image Computing, Research Associate
(Medical Software Development), 2013
Siemens Healthcare, UK, Pre-development Engineer, 2012
TBS GB Telematic and Biomedical Services Ltd, Trainee Biomedical
Engineer, 2011
Employability
Postgraduate study on this pathway offers the chance to develop highly
transferable engineering and computing skills combined with specialist
knowledge that are highly sought after by employers in the medical
technology sector. In particular, the emphasis on real-world problem
solving equips graduates with the skills and confidence to take up
positions within a wide range of roles in leading organisations. In addition,
graduates gain skills in project and time management - effective
communication, and teamwork, which provide an excellent foundation for
a productive career in industry, healthcare organisations, or academia.
* data taken from the ‘Destinations of Leavers from Higher Education’ survey undertaken by HESA looking at the destinations of UK and EU students in the 2010–2012 graduating cohorts
six months after graduation and, where necessary, departmental records.
Entry requirements A minimum of an upper-second class UK Bachelor’s degree from a UK
university or an overseas qualification of an equivalent standard in
physics, engineering, computer science, mathematics, or other closely
related discipline. Workplace knowledge and expertise are also
considered. Applicants with a lower than upper-second class degree may
be invited for a short online interview with programme tutors as part of
their application process.
English language proficiency level
If your education has not been conducted in the English language, you
will be expected to demonstrate evidence of an adequate level of English
proficiency.
The level of English language proficiency for this programme is:
Standard.
Information about the evidence required, acceptable qualifications and
test providers is provided at:
www.ucl.ac.uk/graduate/english-requirements
FEES AND FUNDING
// UK & EU (2016/17) entry: £11,090 (FT)
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Overseas (2016/17) entry: £23,020 (FT)
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UK & EU (2016/17) entry: N/A (PT)
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Overseas (2016/17) entry: N/A (PT)
Fees note: Fees for flexible, modular study are charged pro-rata to
the appropriate full-time Master's fee taken in an academic session.
The tuition fee schedule for 2016/17 entry can be viewed on the UCL
Current Students website.
Full details of funding opportunities can be found on the UCL
Scholarships website: www.ucl.ac.uk/scholarships
APPLICATION DATE
All applicants: 29 July 2016
CONTACT
Dr Dean Barratt
Your application The deadline for all applicants is 29 July 2016.
Students are advised to apply as early as possible due to competition for
places. Those applying for scholarship funding (particularly overseas
applicants) should take note of application deadlines.
When we assess your application we would like to learn:
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why you want to study Medical Image Computing at graduate level
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what you aspire to professionally after completing this degree course
why you want to study Medical Image Computing at UCL
what particularly attracts you to this programme
how your academic and professional background meet the demands
and requirements of this programme
Together with essential academic requirements, your personal statement
is your opportunity to address these questions and explain what
motivates your interest in medical imaging and medical image computing.
Details on how to apply are available on the website at:
www.ucl.ac.uk/graduate/apply
PDF Updated: May 25, 2016
Information correct at time of going to press. See website (www.ucl.ac.uk/medphys) for latest information
Email:
pg-medphys@ucl.ac.uk
Telephone:
+44 (0)20 7679 0201