MSc Data Science

Master'sData Science & AIPlacement year option

Core study in statistics, Python programming, machine learning and AI, then a chosen pathway (Biodiversity, Business Intelligence or Data Engineering). Ends with a 14-week industry placement or dissertation, which suits career changers with some quantitative background.

Programme description

What you can expect to study

Prepare, analyse and communicate insights from data.
Apply statistical and machine-learning techniques.
Use programming and data tools to solve practical problems.

Career direction

Where it may lead

Possible career directions include:

Data scientist
Data analyst
Machine-learning specialist
Business intelligence analyst

Career outcomes depend on experience, professional registration where applicable and the modules completed. We can help you compare the exact curriculum before you apply.

Entry requirements

Can I apply?

Academic: 2:2 honours degree in any discipline with exposure to quantitative methods such as statistics
Sri Lankan qualifications: We’ll check your qualifications against this course for you.
English (IELTS): 6.5 overall, minimum 6.0 in each element

Not sure you qualify? Send us your results — we’ll tell you honestly, free.

How we help

Your application, handled.

We check your eligibility and documents.
We prepare and submit your application to Lancaster University.
We help you meet any offer conditions and get your CAS.
We guide your Student visa application.

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Course information checked October 2026 from the official course page on lancaster.ac.uk. The expanded description is a concise GEC summary based on the course record and subject area; module choices, professional recognition, fees, entry requirements and intakes can change. We confirm the latest details with Lancaster University before you apply. Global Educational Consultants is an independent consultancy.