MSc Advanced Computer Science

Course overview

This MSc develops advanced computer science skills through specialist areas such as artificial intelligence, machine learning, big data, operating systems and network security. Students can choose modules according to their interests and complete advanced research work.

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

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

Entry requirements

General entry requirements

• Academic: 2:2 honours degree or above in Computer Science or a relevant 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

• Research Methods: Learn how to plan and conduct computer science research. • Operating Systems & Architectures: Study operating systems and computer architecture. • Machine Learning: Explore algorithms that allow computers to learn from data. • Data Visualisation & Visual Analytics: Learn how to analyse and present complex data visually. • IT Security, Forensics & Cryptography: Study cybersecurity, digital forensics and encryption. • Network, Wireless & Cloud Security: Explore security across networks, wireless systems and cloud platforms. • Artificial Intelligence & NLP: Study AI techniques and natural language processing. • Advanced Machine Learning: Explore computer vision and deep-learning techniques. • MSc Project: Complete an independent advanced computer science research project.