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Master's

MSc Artificial Intelligence and Data Science

Swansea University · Bay Campus, Wales

Level
Master's
Duration
1 year
Intake
January 2027
Tuition fee
£24,200 / year
Initial deposit
50% of the first-year tuition fee after scholarship deductions, after Credibility Interview.
Location
Bay Campus, Wales

Course overview

This MSc focuses on artificial intelligence and data science, particularly data mining, machine learning and data visualisation. It develops programming, analytical and research skills for working with large and complex datasets.

Course details

Degree level
Master's
Duration
1 year
Intake
January 2027
Tuition fee
£24,200 / year
Initial deposit
50% of the first-year tuition fee after scholarship deductions, after Credibility Interview.
Country
Wales
Campus
Bay Campus

About this information

The details on this page have not yet been checked against the official course page by our team. Fees, intakes and requirements can change, so always confirm them on the official course page before you apply.

Not recorded here yet: Pakistan-specific requirements.

English Language Requirements

Main English Requirements

IELTS Academic

6.5 overall

Components: 6.0

PTE Academic

62 overall

Components: 59

Oxford ELLT

7 overall

Components: 6

Only the tests listed here are shown as accepted for this course.

Entry requirements

General entry requirements

• Academic: Minimum 2:2 in Computer Science or a related discipline. • IELTS: 6.0 overall, minimum 5.5 in each component. • Equivalent English tests are accepted.

Scholarships & discounts

Undergraduate – Thrive Bursary • £4,000 reduction in tuition fees for the first year • £2,000 progression bursary in subsequent years, applied as a tuition fee discount Postgraduate – International Excellence Scholarship • £5,000 tuition fee discount • A separate application is required to apply for the scholarship. (link will be shared soon)

Pre-CAS interview

Required
Yes — a Pre-CAS / credibility interview is part of the process
Stage
Before the initial deposit is paid
Format
Credibility interview

Course modules

• Optimisation Techniques: Learn methods for finding efficient solutions to complex problems. • Data Visualisation & Visual Analytics: Learn how to analyse and present data visually. • Machine Learning: Study algorithms that allow computers to learn from data. • Research Methods: Learn how to plan and conduct computer science research. • Symbolic AI & Natural Language Processing: Explore AI reasoning and how computers process human language. • Advanced Machine Learning: Study computer vision and deep-learning techniques. • MSc Project: Complete an independent research project applying your AI and data science skills.

Details can change. Confirm fees, entry requirements and deadlines on the official course page before applying.