Computer Science (Artificial Intelligence) - MSc

Course overview

Conversion MSc combining computer science and AI, designed to allow students from other subjects to move into computing and artificial intelligence, with Python, machine learning, NLP, deep learning and practical projects.

Course details

Degree level

Master's

Subject

Computer Science / Artificial Intelligence

Duration

1 year

Intake

January 2027

Tuition fee

£23,500 / yearUniversity fee information (opens in a new tab)

Initial deposit

£5,000

City

Canterbury

Country

England

Campus

Canterbury

Official course page

https://www.kent.ac.uk/courses/postgraduate/3812

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.

Open the official course page (opens in a new tab)

English Language Requirements

Main English Requirements

Alternative English Requirements

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

Entry requirements

For applicants from Pakistan

• For courses requiring a UK 2.2, Kent's Pakistan page states typically 60-65% or GPA 2.4/4-2.6/4 depending on institution; a Master's following a 2- or 3-year Bachelor's may be considered with at least 60%.

General entry requirements

2.2 or above; conversion MSc designed for applicants from other academic backgrounds as well as computing-related backgrounds.

Scholarships & discounts

Kent International Scholarship Postgraduate Taught January 2027: £5,000 for eligible self-funded overseas fee payers domiciled in eligible countries including Pakistan.

Pre-CAS interview

Required

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

Interview type

On CAS Shield

Stage

Before the initial deposit is paid

Format

Recorded interview

Course modules

• Python Programming or Programming for Artificial Intelligence with Python; compulsory modules; one optional module; Project and Dissertation. Core subject areas include machine learning, natural language processing and deep learning.