Computer Science (Artificial Intelligence) - MSc
University of KentCanterbury, England
- Intake
- January 2027
- Tuition fee
- £23,500 / year
- Duration
- 1 year
Swansea University · Bay Campus, Wales
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.
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.
6.5 overall
Components: 6.0
62 overall
Components: 59
7 overall
Components: 6
Only the tests listed here are shown as accepted for this course.
• 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.
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)
• 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.