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University of Exeter · Exeter

MSc Advanced Data Science

Master'sData Science & AI

An advanced masters for students with a computational or mathematical background who want to deepen their data science and machine learning skills. Leads to data scientist and analytics roles.

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Plan the full costTuition pre-filled, with GBP and indicative LKR totals.

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Funding informationThis university has scholarship information recorded.

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Sri Lankan student planning

Four checks before you shortlist this course.

Use these as an early planning guide. We will confirm the exact university rules for your qualification and intake before you apply.

01Academic route

Your qualification fit

Only 4-year Special or Honours degrees from recognised universities are considered; 2:1 ≈ 60–74% or CGPA 3.30–3.69/4, 2:2 ≈ 55–59% or CGPA 3.00–3.29/4

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03Funding

Scholarship possibilities

Scholarship or tuition-discount information is recorded for this university; eligibility may depend on course and intake.

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04Full financial plan

Beyond the tuition fee

Plan for tuition, visa fee, Immigration Health Surcharge, required maintenance funds, travel and your first accommodation costs.

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Want a human check? Tell us your qualification, English result, budget and preferred intake.

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Free preliminary check

Could this course fit your profile?

Answer four quick questions. Nothing is submitted or stored until you choose to contact GEC.

This tool is an early planning guide, not an offer, admissions decision or visa assessment. The university decides admission after reviewing your complete application.

Scholarship information

Potential funding at University of Exeter

For 2027/28 entry the University offers 150 undergraduate and 150 postgraduate taught Exeter Excellence Scholarships for international students, each worth £15,000 as a tuition fee reduction (undergraduate awards each year).

Eligibility, value, availability and deadlines are decided by the university. Confirm the award for this exact course and intake before relying on it.

Programme overview

A clearer look at MSc Advanced Data Science

An advanced masters for students with a computational or mathematical background who want to deepen their data science and machine learning skills. Leads to data scientist and analytics roles.

This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. The course record does not promise a placement, so students should judge it primarily by its curriculum, teaching approach and project opportunities.

Course focus

What you can expect to explore

  • Data preparation, exploration and visualisation
  • Statistical modelling and machine-learning methods
  • Turning complex evidence into useful decisions
  • Machine learning and intelligent systems

Skills development

Capabilities you can build

  • Python or analytical programming
  • Statistical reasoning
  • Data visualisation
  • Model evaluation and communication

The balance of technical, academic and professional skills depends on the modules and assessments offered for your intake.

Learning experience

How you may learn

  • Applied work such as case studies, workshops, projects or problem-based tasks.
  • Independent postgraduate study, critical reading and a dissertation or major project where required.
  • Assessment may combine coursework, reports, presentations, examinations or projects; the exact balance is set by the university.
Who is this course for?

A strong fit for students who enjoy combining programming, statistics and problem-solving to extract meaning from complex data. Entry requirements still determine eligibility, and students should compare the official module list with their own career goals before applying.

Career direction

Where it may lead

Relevant career directions may include:

  • Data scientist
  • Data analyst
  • Business intelligence analyst
  • Machine-learning or analytics specialist

These are examples, not guaranteed outcomes. Employment depends on your experience, location, professional registration where applicable and the modules completed.

Course contents

Published course content for this programme.

9 curriculum items were captured from the university’s official course page. These may include modules, course units or published curriculum topics, and can change by intake, pathway and availability.

  1. 01
    Research ProjectModule COMM514
  2. 02
    Network ScienceModule COMM039
  3. 03
    Text Mining and Natural Language ProcessingModule COMM040
  4. 04
    Deep LearningModule COMM113
  5. 05
    Data Science at ScaleModule COMM115
  6. 06
    Machine LearningModule ECMM422
  7. 07
    Computer VisionModule ECMM426
  8. 08
    High-Performance ComputingModule ECMM461
  9. 09
    Data Governance and EthicsModule SOCM033

Source checked 19 October 2026. Titles are shown as concise factual course information; the university remains the authoritative source.

View official course contents

Entry requirements

Can I apply?

Academic
2:1 degree in Computer Science, Data Science or another strongly numerate discipline
Sri Lankan qualifications
Only 4-year Special or Honours degrees from recognised universities are considered; 2:1 ≈ 60–74% or CGPA 3.30–3.69/4, 2:2 ≈ 55–59% or CGPA 3.00–3.29/4
English (IELTS)
6.5 overall, no less than 5.5 in any section

Not sure you qualify? Send us your results — we’ll tell you honestly, free.

How we help

Support, clearly agreed.

  1. We check your eligibility and documents.
  2. We prepare and submit your application to University of Exeter.
  3. We help you meet any offer conditions and get your CAS.
  4. We guide your Student visa application.

Your initial consultation is free. Any paid professional support begins only after you receive and accept a written service summary explaining the work, fee and terms.

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Course information checked October 2026 from the official course page on exeter.ac.uk. The expanded description is original GEC guidance built from the recorded course summary, award level and subject; it does not reproduce a university or partner listing word for word. Exact modules, teaching, assessment, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with University of Exeter before you apply. Global Educational Consultants is an independent consultancy.