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Data Science at UEA
Find out more about studying Data Science at UEA, and browse our other courses.
Find out moreMSc Data Science
Course
options
Key Details
- Attendance
- Full Time
- Award
- Degree of Master of Science
- Course Length
- 1 year
- Course Start Date
- September 2026
Other Start Dates
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Why you should choose us
=4th
in the UK for Computer Science for Graduate Prospects - Outcomes
The Complete University Guide 202492%
Of our research output is rated as "World-Leading" or "Internationally Excellent”
Research Excellence Framework (REF)Course Overview
This MSc in Data Science is designed to train highly qualified data analysts – or data scientists – to embark on careers in a wide range of industries. You’ll be given an excellent practical and theoretical grounding in data mining and statistics with the chance to customise your degree through modules in artificial intelligence, visualisation, programming, database manipulation and other specialised subjects.
As a student on this MSc Data Science course, you’ll be part of our vibrant research community and have excellent opportunities to progress to a PhD You’ll be part of a research group that has made significant contributions in techniques for data mining and KDD – including KDD Methodologies; use of metaheuristics for rule and tree induction; all-rule induction; clustering techniques; feature subset selection; feature construction; time series classification as well as many applications in the financial services industry, medicine, agritech, and telecommunications.
Data Scientists are highly prized for their advanced, practical skill set and their increasing importance to the success of modern businesses. Organisations in almost any industry need to source, analyse and utilise vast amounts of data to aid strategic decision-making, so you’ll have great graduate career prospects as well as a wide range of transferrable skills.
We have a large Data Science and Artificial Intelligence research group that has made significant contributions to the field over the past 10 years, so you’ll be working directly with pioneering experts.
The research group has collaborated in research or consultancy projects with a wide range of organisations, including: the Biotechnology and Biological Sciences Research Council (BBSRC), the Engineering and Physical Sciences Research Council (EPSRC), the Institute and Faculty of Actuaries and The Royal Society, Alston Transport, Derbyshire Police, Aviva, and National Air Traffic Services.
You’ll graduate with a wealth of knowledge, prestigious connections and research experience – putting you one step ahead of other graduates in your career or further studies. The course – one of the most established in this area with over 18 years of history – offers an excellent platform to help you forge a successful career in data analysis.
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Study and Modules
Structure
The MSc Data Science course is a full-time, one-year taught programme, designed for advanced students and practitioners. You can also take it part-time over two or three years.
On this course, you’ll take compulsory modules in professional skills, data mining, statistics and artificial intelligence or visualisation.
Alongside this, you’ll take two optional modules from a variety of topics in the areas of python for data science, database manipulation, computer vision, audio and visual processing or a research topic.
A key element of the course is your dissertation, which will give you the chance to explore a topic or work on a problem (which may be with an industry partner) in depth, under the supervision of our tutors or faculty members.
Compulsory Modules
Optional A Modules
(Min Credits: 20, Max Credits: 40)Optional B Modules
(Min Credits: 20, Max Credits: 40)Important Information
Whilst the University will make every effort to offer the modules listed, changes may sometimes be made arising from the annual monitoring, review and update of modules. Where this activity leads to significant (but not minor) changes to programmes and their constituent modules, the University will endeavour to consult with students and others. It is also possible that the University may not be able to offer a module for reasons outside of its control, such as the illness of a member of staff. In some cases optional modules can have limited places available and so you may be asked to make additional module choices in the event you do not gain a place on your first choice. Where this is the case, the University will inform students.
Teaching and Learning
Depending on your module choices, you’ll have several hours of contact time each week with the teaching staff. This will include a mix of lectures, seminars, and lab sessions, with seminars and labs designed to reinforce and build on the lecture content.
The course has both theoretical and practical elements, so you’ll get hands-on experience in data mining and statistical software and very important soft skills crucial for employability. You’ll even have the opportunity to participate in commercial data mining projects as part of your assessment, gaining experience on all the stages of the KDD process.
Your individual study (around 25 hours per week) will complement formal teaching and will evolve along with your skills and expertise in data analysis.
Your dissertation will also form a key part of your course, which will involve extensive independent study supported by your supervisor.
Assessment
We have a mixture of individual and group assessments. These include written work, presentations or demonstrations, and exams (closed and/or time-limited assessment). They combine theoretical understanding with practical application and are designed to test the range of skills and competencies required for the learning outcomes of each module as well as your employability skills. The balance of assessment types varies according to the options chosen. Additionally, there’s an individual project, assessed through a combination of written work and demonstrations or presentations.
Employability
After the Course
You’ll graduate ready for a career in data analysis or data science – an area of rapid growth at the moment.
You can expect to earn a high salary – the median annual wage for data science in the UK was 60,000.
Careers
Examples of careers that you could enter include:
- Data scientist
- Data analyst
- Data miner
- Business intelligence analyst
Discover more on our Careers webpages.
Entry Requirements
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
- Typical UK Entry Requirements
Degree classification
Bachelors degree - 2.2
Degree Subject
Computing, Mathematics or a related subject that evidences an ability in maths, statistics, data handling or database manipulation. Your application should also demonstrate some programming experience either in other qualifications or work experience.
- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
- This course is open to
UK and International fee-paying students. Choose UK or International above to see relevant information. The entry point is in September each year.
- Typical International Entry Requirements
Degree classification
UK Bachelors degree - 2.2 or equivalent
Degree Subject
Computing, Mathematics or a related subject that evidences an ability in maths, statistics, data handling or database manipulation. Your application should also demonstrate some programming experience either in other qualifications or work experience.
- English Foreign Language
Applications from students whose first language is not English are welcome. We require evidence of proficiency in English (including writing, speaking, listening and reading):
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IELTS: 6.0 overall with minimum 5.5 in each component.
We also accept a number of other English language tests. Review our English Language Equivalencies for a list of example qualifications that we may accept to meet this requirement.
Test dates should be within 2 years of the course start date.
If you do not meet the English language requirements for this course, UEA International Study Centre offers a variety of English language programmes which are designed to help you develop the required English skills.
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- Admissions Policy
Our Admissions Policy applies to the admissions of all postgraduate applicants.
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Fees and Funding
Tuition fees for the Academic Year 2026/27 are:
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UK Students: £12,350
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International Students: £25,700
If you choose to study part-time, the fee per annum will be half the annual fee for that year, or a pro-rata fee for the module credit you are taking (only available for Home students).
We estimate living expenses at £1,136 per month.
Further Information on tuition fees can be found here.
Scholarships and Bursaries
The University of East Anglia offers a range of Scholarships; please click the link for eligibility, details of how to apply and closing dates.
Course Related Costs
Please see Additional Course Fees for details of course-related costs.
How to Apply
How to apply
Applications for Postgraduate Taught programmes at the University of East Anglia should be made directly to the University.
To apply please use our online application form.
Further information
If you would like to discuss your individual circumstances prior to applying, please do contact us:
Postgraduate Admissions Office
Tel: +44 (0)1603 591515
Email: admissions@uea.ac.uk
International candidates are also encouraged to access the International Students section of our website.