Artificial Intelligence and Machine Learning MSc

Course details

Degree level

Master's

Subject

AI / Machine Learning

Duration

1 year / 2 years placement

Intake

January 2027

Tuition fee

£18,792 / yearUniversity fee information (opens in a new tab)

Initial deposit

£5,000

Enrollment fee

Remaining Fees: You can pay the balance in full at the start of your course or in two equal installments (50% by late October and the remaining balance by late January for autumn starts)

City

Brighton

Country

England

Campus

Moulsecoomb

Official course page

https://www.brighton.ac.uk/courses/study/artificial-intelligence-and-machine-learning-msc-pgcert-pgdip.aspx

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: course overview. The official course page is the source for these.

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English Language Requirements

Main English Requirements

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

Entry requirements

For applicants from Pakistan

• A minimum of 60% or 2.9 CGPA in a relevant Bachelor’s degree. 2+2 qualifications are not accepted.

General entry requirements

Undergraduate degree in a subject with a substantial quantitative element such as computer science, maths, statistics, data science, engineering or economics; relevant working experience may be considered.

Scholarships & discounts

Vice-Chancellor International Postgraduate Scholarship: £2,000, automatically awarded if eligible. Future STEM Scholars' Award: £2,500 for eligible international self-funded new students; automatically assessed. The Future STEM award can be combined with the Vice-Chancellor scholarship.

Pre-CAS interview

Required

Yes — a Pre-CAS / credibility interview is part of the process

Interview type

On CAS Shield

Stage

After the initial deposit is paid

Format

Recorded interview

Course modules

• Programming for AI and data science; Machine Learning; data modelling; model evaluation; responsible AI; research/project.