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Coventry University · Coventry

MSc Data Science and Computational Intelligence

Master'sData Science & AIPlacement year option

Covers data analytics, machine learning and computational intelligence methods for extracting value from data. For graduates of computing or related subjects aiming at data scientist or AI roles; optional placement route.

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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

Coventry's international entry requirements page states that recruitment from Sri Lanka is currently paused

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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

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Free preliminary check

Could this course fit your profile?

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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 Coventry University

The Coventry University Group Scholarship gives £2,000 off tuition fees each year for bachelor's or master's students starting in 2026/27 or 2027/28 (up to £6,000 on a three-year degree); limited sports scholarships of £1,500 or £3,000 also exist.

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 and Computational Intelligence

Covers data analytics, machine learning and computational intelligence methods for extracting value from data. For graduates of computing or related subjects aiming at data scientist or AI roles; optional placement route.

This 12-month postgraduate route concentrates on data preparation, exploration and visualisation, statistical modelling and machine-learning methods, turning complex evidence into useful decisions. A placement or professional-experience option is recorded, which can help connect academic learning with workplace practice when available.

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.
  • A placement or professional-experience route is recorded; its length, availability and eligibility should be confirmed for the selected intake.
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

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We could not reliably extract stable course contents from the public course page. Use the official curriculum link below rather than relying on an invented or outdated list.

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Review the current compulsory and optional modules for your intended intake before applying.

Entry requirements

Can I apply?

Academic
Honours degree 2:2 or above (or international equivalent) in a relevant discipline such as computer science
Sri Lankan qualifications
Coventry's international entry requirements page states that recruitment from Sri Lanka is currently paused
English (IELTS)
6.5 overall, no component below 5.5

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 Coventry University.
  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 coventry.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 Coventry University before you apply. Global Educational Consultants is an independent consultancy.