MSc Computer Science 2018/19 entry

Duration Full time 1 year
Part time 2 years
Discipline
  • Computer Science
LocationExeter (Streatham)
Start date September

Overview

The MSc Computer Science is an advanced programme for graduates and professionals. It focuses on the latest techniques and technologies, teaching you how to apply these to complex contemporary problems across the breadth of society.

You will be able to engage with the latest developments from a range of Computer Science topics with leading academics in the field. Course content draws directly upon our particular research strengths in artificial intelligence, machine learning, data science, high performance computing and networks, and cyber-security.

This MSc is career-focused, with an emphasis on postgraduate training. You will develop a wide range of important skills such as team-working, coding, independent research and problem solving. This course is particularly suited to those looking to continue in academia or use their expertise commercially in any sector. 

Programme structure 2018/19

CODE

TITLE

CREDITS

Compulsory modules

ECMM427

Group Development Project

30

ECMM4xx

Advanced Computer Science Project

60

Optional modules

Select 90 credits

ECMM408

Logic, Ontology, and Knowledge Representation

15

ECMM409

Nature-Inspired Computation

30

ECMM410

Research Methodology

15

ECMM4xx

Machine Learning and Statistics

15

ECMM423

Evolutionary Computation & Optimisation

15

ECMM424

Computer Modelling and Simulation

15

ECMM425

Computer Vision

15

ECMM4xx

From Data to Decisions

15

ECMM4xx

Data in Business and Society

15

ECMM4xx

High Performance Computing and Data Architectures

15

ECMM4xx

Social Networks and Text Analysis

15

ECMM4xx

Advanced Machine Learning and Statistics

15

ECMM7xx

M-level modules in Mathematics

15

ECM34xx

ECM34xx modules in Computer Science

Up to 30

Part time students will follow:

Year 1

You must complete 4 modules (60 credits) one of which must be ECMM427 Group Development Project.

Year 2

You must complete 4 modules (60 credits) one of which must be ECMM4xx Advanced Computer Science Research Project.

The modules we outline here provide examples of what you can expect to learn on this degree course based on recent academic teaching. The precise modules available to you in future years may vary depending on staff availability and research interests, new topics of study, timetabling and student demand.

Learning and teaching

Teaching is mainly delivered by lectures, workshops and online materials. Each module references core and supplementary texts, or material recommended by module deliverers, which provide in depth coverage of the subject and go beyond the lectures.

We believe every student benefits from being taught by experts active in research and practice. All our academic staff are active in internationally-recognised scientific research across a wide range of topics. You will discuss the very latest ideas, research discoveries and new technologies, becoming actively involved in a research project yourself.

We aim to provide a supportive environment where students and staff work together in an informal and friendly atmosphere. The department has a student-focused approach to teaching, whereby all members of staff deal with questions on an individual basis. We operate an open door policy, so it is easy to consult individual members of staff or to fix appointments with them via email. As a friendly group of staff, you will get to know us well during your time here.

The assessment strategy for each module is explicitly stated in the full module descriptions given to students. Group and team skills are addressed within modules dealing with specialist and advanced skills. Assessment methods include essays, closed book tests, exercises in problem solving, use of the Web for tool-based analysis and investigation, mini-projects, extended essays on specialized topics, and individual and group presentations.

Careers

Computer Science is at the forefront of technology and innovation. With connectivity at the heart of society, there is an increasing need for graduates who are able to understand the latest techniques and technology to negotiate problems. Huge opportunities exist for the businesses and individuals who can solve these problems using the latest technology such as artificial intelligence, machine learning, data science, high performing computing and cyber security.

Career opportunities are limitless, with graduates being found in a variety of sectors, including software engineering, health communications, education, life sciences, finance and manufacturing. This programme is particularly suited to professionals and graduates looking to develop career options or pursue academia.

Entry requirements 2018/19

Candidates will be required to have at least a 2:1 degree in a numerate subject, and must be able to show evidence of good programming ability in recognised modern computer languages.

Candidates may be interviewed by video conference to assess their programming ability and suitability for the course.

We do consider all applications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience or professional qualifications. 

Fees and funding 2018/19

Tuition fees per year 2018/19

  • UK/EU: £10,000 full-time; £5,000 part-time
  • International: £23,000 full-time

Fee information

Fees can normally be paid by two termly instalments and may be paid online. You will also be required to pay a tuition fee deposit to secure your offer of a place, unless you qualify for exemption. For further information about paying fees see our Student Fees pages.

UK government postgraduate loan scheme

Postgraduate loans of up to £10,000 are now available for Masters degrees. Find out more about eligibility and how to apply.

Global Excellence Scholarship

We are delighted to offer Global Excellence Scholarships for students of outstanding academic quality applying to postgraduate Taught programmes starting in autumn 2018.

Contact us

We welcome enquiries about the course.

For further information contact:

Email: empsmsc@exeter.ac.uk
Phone: +44 (0) 1392 724061