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University of South Wales · Cardiff

MSc Data Science

Master'sData Science & AI

This master's develops applied statistics, programming, database and analytical skills for solving real organisational problems with data. Learning is practical and includes industry-standard tools, a substantial research project and preparation for data-science, analytics and programming careers.

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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

Bachelor Special degree considered for master's study; Bachelor General degree with very high grades may be considered; MBA also needs at least 2 years' 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 of South Wales

The fees page lists tuition fee scholarships of £1,500-£2,500 for undergraduate and £2,000-£2,500 for postgraduate study; International Office Scholarships are aimed at self-funding international students, who are considered automatically.

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

This master's develops applied statistics, programming, database and analytical skills for solving real organisational problems with data. Learning is practical and includes industry-standard tools, a substantial research project and preparation for data-science, analytics and programming careers.

This 13-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

  • Build foundations in applied statistics, programming and database systems.
  • Use industry tools to analyse, model and communicate complex data.
  • Complete an applied research project informed by real organisational problems.
Professional recognition

The programme advertises an opportunity to work towards the SAS Joint Certificate in Applied Statistics and Data Mining. Availability and award conditions should be confirmed for the chosen intake.

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
  • Business or data analyst
  • Predictive modeller
  • Data-focused software professional

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.

Continue to the university curriculum

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

Entry requirements

Can I apply?

Academic
Minimum 2:2 honours degree or equivalent in a numerate STEM or business subject
Sri Lankan qualifications
Bachelor Special degree considered for master's study; Bachelor General degree with very high grades may be considered; MBA also needs at least 2 years' work experience
English (IELTS)
6.0 overall, minimum 5.5 in each component
English alternatives
O/L English grade C or above (within 5 years) accepted; recent Sri Lankan degree with English medium from approved universities (Colombo, Moratuwa, Sri Jayewardenepura, Kelaniya, Peradeniya, Open University) can also 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 South Wales.
  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 southwales.ac.uk. The expanded description is original GEC guidance cross-checked against current partner programme information; 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 South Wales before you apply. Global Educational Consultants is an independent consultancy.