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University College London · London

Data Science MSc

Master'sData Science & AI

Taught by UCL's Statistical Science department, this one-year masters builds core statistical and computational methods for analysing large datasets. It suits graduates from quantitative subjects aiming for data scientist or analytics 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

For upper-second (2:1) courses: four-year Special or Professional bachelor's with Upper Second Class Honours, 60% or CGPA 3.3/4.0, or a three-year General degree at that standard plus one year of relevant work experience. For 2:2 courses: Lower Second, 55% or CGPA 3.0/4.0 (General degree also needs one year of work experience).

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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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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 College London

UCL Global Masters Scholarship: £15,000 for one year, based on financial need, for overseas students. UCL Global Undergraduate Scholarship: needs-based awards for overseas students (10 awards of full fees plus maintenance and 23 awards of full fees).

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 Data Science MSc

Taught by UCL's Statistical Science department, this one-year masters builds core statistical and computational methods for analysing large datasets. It suits graduates from quantitative subjects aiming for data scientist or 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
  • Prepare, analyse and communicate insights from data.

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

Check the official curriculum.

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
Upper second-class bachelor's degree in a quantitative discipline (or equivalent), with university-level mathematical methods and linear algebra.
Sri Lankan qualifications
For upper-second (2:1) courses: four-year Special or Professional bachelor's with Upper Second Class Honours, 60% or CGPA 3.3/4.0, or a three-year General degree at that standard plus one year of relevant work experience. For 2:2 courses: Lower Second, 55% or CGPA 3.0/4.0 (General degree also needs one year of work experience).
English (IELTS)
UCL Level 1: 6.5 overall, 6.0 in each component

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How we help

Support, clearly agreed.

  1. We check your eligibility and documents.
  2. We prepare and submit your application to University College London.
  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 ucl.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 College London before you apply. Global Educational Consultants is an independent consultancy.