Data Science and AI - MSc

Course overview

Intensive MSc for graduates new to computer science, combining data science, AI, programming, machine learning and a substantial project.

Course details

Degree level

Master's

Subject

NOT VERIFIED

Duration

1 year

Intake

January 2027

Tuition fee

£22,980 / yearUniversity fee information (opens in a new tab)

Initial deposit

£5,000

City

London

Country

England

Campus

Birkbeck Campus, Central London

Official course page

https://www.bbk.ac.uk/courses/postgraduate/data-science-and-ai

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

• Pakistan postgraduate equivalency (official Birkbeck country page): for a UK 2:2, four-year Bachelor's (Honours)/professional degree from an HEC-accredited institution with at least 55%/B-/GPA 2.7/4.0 or equivalent; alternatively the specified Master's routes may be accepted. Course-specific requirements apply.

General entry requirements

At least a second-class honours degree (2:2) or equivalent, in any subject other than single-honours computer science; significant IT-industry experience may also be considered.

Scholarships & discounts

Birkbeck International Excellence scholarship (January): £3,000 available to international students starting a postgraduate programme in January 2027; eligibility/conditions apply. Other international/faculty scholarships may also be available.

Pre-CAS interview

Required

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

Interview type

On CAS Shield

Stage

Before the CAS is issued

Format

Recorded interview

Course modules

• 180 credits: Analytical Foundations of Data Science; Applied Machine Learning; Data Analytics Using R; Data Science Techniques and Applications; Data and Knowledge Management; Natural Language Processing; Neural Networks and Deep Learning; Principles of Programming; MSc Data Science Project.