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University of Sunderland · Sunderland

MSc Data Science with Artificial Intelligence (AI)

Master'sData Science & AI

A one-year master's covering data analysis, machine learning and AI techniques for working with large datasets. Aimed at computing or numerate graduates moving into data scientist or AI-focused roles.

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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

2:2 honours degree in computing, or 2:2 in maths, statistics or engineering with programming experience (other routes at 2:1)

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02English evidence

IELTS or an alternative

The accepted English test and score must be confirmed for this programme.

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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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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 Sunderland

Global Leaders Scholarship: tuition fee reduction of up to £6,000 for new international students starting on-campus undergraduate, MPharm or postgraduate taught courses in 2027/28 (amount depends on course).

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 Data Science with Artificial Intelligence (AI)

A one-year master's covering data analysis, machine learning and AI techniques for working with large datasets. Aimed at computing or numerate graduates moving into data scientist or AI-focused 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

  • Practical, laboratory, studio, simulation or supervised activities where appropriate to the discipline.
  • 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.

5 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
    Practical lab sessionsPublished course content
  2. 02
    Written reportsPublished course content
  3. 03
    Technical reportsPublished course content
  4. 04
    Reflective logsPublished course content
  5. 05
    Artefact developmentPublished course content

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
2:2 honours degree in computing, or 2:2 in maths, statistics or engineering with programming experience (other routes at 2:1)
Sri Lankan qualifications
We’ll check your qualifications against this course for you.
English (IELTS)
Ask us — alternatives to IELTS may be accepted.

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 Sunderland.
  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.

Similar courses at other universities

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Course information checked October 2026 from the official course page on sunderland.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 Sunderland before you apply. Global Educational Consultants is an independent consultancy.