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Master's

MSc Data Science

University of Exeter · Streatham Campus, England

£400 Cashback — conditions apply
Level
Master's
Duration
1 Year
Intake
January 2027
Tuition fee
£30,300 / year
Initial deposit
£2,500
Location
Streatham Campus, England

Course overview

The official course overview highlights: • It is designed for students from diverse academic backgrounds. • It is particularly suitable for graduates from a non-computing background. • It develops technical skills for understanding, managing and storing large datasets. • It teaches students how to apply data analytics across industry, business and research. • It covers areas including data systems, machine learning, statistical methods, data analysis and data governance. • Students can select optional modules to tailor the Master's to their career interests and aspirations. • Students complete a substantial research project supervised by an expert data scientist. • The research project allows students to apply their knowledge to a practical or theoretical data-science problem. • Students have access to Exeter's modern computer facilities and teaching laboratories. • The programme is connected with Exeter's work in Data Science and Artificial Intelligence and its partnership with the Alan Turing Institute.

Course details

Degree level
Master's
Duration
1 Year
Intake
January 2027
Tuition fee
£30,300 / year
Initial deposit
£2,500
Country
England
Campus
Streatham Campus

About this information

The details on this page have not yet been checked against the official course page by our team. Fees, intakes and requirements can change, so always confirm them on the official course page before you apply.

Not recorded here yet: Pakistan-specific requirements.

English Language Requirements

Main English Requirements

IELTS Academic

6.5 overall

Components: 6.0

Alternative English Requirements

PTE Academic

67 overall

Components: 64

TOEFL iBT

90 overall

Components: 21

LanguageCert

70 overall

Components: 65

Duolingo English Test

120 overall

Components: 110

Oxford ELLT

7 overall

Components: 6

Only the tests listed here are shown as accepted for this course.

Entry requirements

General entry requirements

• At least a 2:2 degree in a non-related Science undergraduate degree, OR • A 2:2 in any other degree subject plus A Level Mathematics at Grade A or equivalent. • The programme is specifically designed as a conversion course for students from a wide range of academic backgrounds. • If you already have a degree in Computer Science, Mathematics, Physics, Engineering or another related subject, Exeter strongly recommends applying for one of its advanced programmes instead. • Exeter may consider non-standard qualifications where there is evidence of: • exceptional performance in relevant modules; • significant relevant work experience; or • relevant professional qualifications. • International applicants must also meet Exeter's relevant country-specific qualification equivalency requirements. So, importantly, you do not need a Bachelor's degree in Computer Science for this MSc. The course is specifically intended to provide a route into data science for graduates who do not already have a computing background.

Scholarships & discounts

7500 Pounds Automatic 2500 Pounds Merit-Based To be considered for this scholarship, once you have your programme offer, please apply using the webform here A personal statement (of no more than 300 words) is required as part of the form, responding to the following questions: What are your ambitions for the future and how will your studies at Exeter help you to achieve them? What will you contribute to the study experience/environment on campus at Exeter? As a scholar, how might you act as an ambassador for the University? *Round 4 - January 2027 entry only* closes on Thursday 26 November 2026. Round 4 notifications will be sent out within one month on a rolling basis and no later than Thursday 10 December 2026.

Pre-CAS interview

Required
It depends on the university
Stage
After the initial deposit is paid
Format
Recorded interview
Deposit
£2,500

Course modules

Compulsory modules The current January-entry compulsory modules are: • Data Systems — 15 credits • Programming with Python — 15 credits • Research Project — 60 credits • Machine Learning — 15 credits • Introduction to Data Science — 15 credits • Social Networks and Text Analysis — 15 credits • Applications of Data Science and Statistics — 15 credits • Data Governance and Ethics — 15 credits These total 165 compulsory credits

Details can change. Confirm fees, entry requirements and deadlines on the official course page before applying.