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Postgraduate Taught

MSc Data Science with Artificial Intelligence

Please note: The below is for 2025 entries. Click here for 2024 entries.
UCAS code 1234
Duration 1 year full time
Entry year 2024
Campus Streatham Campus
Discipline Data Science and Analytics

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+44 (0) 1392 724061

Typical offer

View full entry requirements

A 2:1 degree in a strongly numerate subject.

Contextual offers


  • Designed for those interested in learning the theoretical and practical skills within data science whilst developing advanced skills in artificial intelligence
  • Learn from our research expertise within Exeter's Institute for Data Science and Artificial Intelligence (IDSAI) in areas including computer vision, knowledge representation, bio-inspired computation and optimisation
  • Explore the fundamental mathematical and computational techniques which underpin Data Science applications, building on your existing scientific and/or mathematical knowledge
  • Learn about specific applications including network analysis, text analysis and machine vision as well as governance and ethical aspects of data use
  • Undertake a research project where you’ll develop skills in a specific area of interest and pursue your ideas, with the support of your academic supervisor.
Apply for Sept 2024 entry

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Fast Track (current Exeter students)

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Phone: +44 (0)1392 72 72 72

Data Science with Artificial Intelligence MSc at the University of Exeter.

Partner to the Alan Turing Institute and home to the Institute of Data Science and Artificial Intelligence

Excellent facilities spanning a wide range of machine types and software ecosystems

Courses designed to launch and develop careers for those working in or entering data and technology-driven roles

Entry requirements

Candidates are required to have at least a 2:1 degree in a strongly numerate subject (e.g. computer science, mathematics, physics) and must be able to show evidence of good programming ability in a recognised modern computer language. Candidates may be interviewed by video conference to assess their programming ability and suitability for the course.

The Python programming language is used extensively during this course and applicants with experience in other languages will be asked to learn basic Python before commencing the course.

We may consider applications with non-standard qualifications where there is evidence of exceptional performance in modules relevant to the programme of study, significant relevant work experience, or relevant professional qualifications.

Entry requirements for international students

English language requirements

International students need to show they have the required level of English language to study this course. The required test scores for this course fall under Profile B3. Please visit our English language requirements page to view the required test scores and equivalencies from your country.

Course content

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.

Compulsory modules

COMM514Research Project 60
COMM108Data Systems15
ECMM422Machine Learning15
ECMM443Introduction to Data Science15
ECMM445Learning from Data15

Optional modules

Select 60 credits (See Stage Notes below*):
ECMM409Nature-Inspired Computation15
ECMM423Evolutionary Computation & Optimisation15
ECMM426Computer Vision15
BEMM129Digital Business Models15
COMM511Statistical Data Modelling15
ECMM410Research Methodology15
MTHM047Bayesian Statistics, Philosophy and Practice 15
ECMM447Social Networks and Text Analysis15
ECMM450Stochastic Processes15
MTHM033Statistical Modelling in Space and Time15
COMM510Multi-Objective Optimisation and Decision Making15
SOCM033Data Governance and Ethics15
ECMM461High Performance Computing 15


2024/25 entry

UK fees per year:

£13,700 full-time

International fees per year:

£29,100 full-time


We invest heavily in scholarships for talented prospective Masters students. This includes over £5 million in scholarships for international students, such as our Global Excellence Scholarships*.

For more information on scholarships, please visit our scholarships and bursaries page.

*Selected programmes only. Please see the Terms and Conditions for each scheme for further details.

Teaching and research

Artificial Intelligence at Exeter

Teaching on this degree is directly influenced by research undertaken within Exeter’s Institute for Data Science and Artificial Intelligence which provides a hub for data-intensive science and artificial intelligence activity within the University.

The institute’s vision for data science is to find new means of interrogating and understanding data and to apply cutting-edge data analytical methodologies to diverse questions. It is a truly interdisciplinary research community made up of data scientists, mathematicians, and computer specialists across many of Exeter’s research groups and departments.

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.

A supportive environment

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.

A research and practice led culture

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.


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 specialised topics, and individual and group presentations.

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Data Science is changing the way people do business. Mountains of previously uncollectable data, generated by huge growth in online activity and appliance connectivity, is becoming available to businesses in every sector. The opportunities for businesses and individuals who can manage, manipulate and extract insights from these enormous data sets are limitless. A direct result of this is the dramatic increase in demand for individuals with the skills to turn this information into insight is outstripping supply.

Graduate destinations

Upon completion of this course, you will possess not only the practical and theoretical knowledge necessary to start a career in the field of Data Science, you will also be able to apply the knowledge gained throughout your Masters to understand and design artificially intelligent computer-based systems.

Being part of Exeter’s fastest growing department and studying in an area experiencing rapid growth across multiple sectors of Industry, you’ll have excellent career potential.

Dedicated careers support

You will receive support from our dedicated Career Zone team, who provide excellent career guidance at all stages of career planning. The Career Zone provides one-on-one support and is home to a wealth of business and industry contacts. Additionally, they host useful training events, workshops and lectures which are designed to further support you in developing your enterprise acumen. Please visit the Career Zone for additional information on their services.

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