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.
University of Westminster · London
Data Science and Analytics MSc
Formerly Business Intelligence and Analytics, this course covers collecting, organising and analysing data to support decisions. Suits science, engineering or IT graduates moving into analytics roles.
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
- Minimum 2:2 honours degree in a scientific or engineering discipline with some IT exposure, or in computer science/IT
- Sri Lankan qualifications
- UK degree at good 2:2 or above; a 3-year (general) Sri Lankan Bachelor's with overall 70% or Grade A, or a 4-year (special) Bachelor's with overall 60% or Grade B+
- English (IELTS)
- 6.5 overall, no element below 6.0
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 University of Westminster.
- 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 westminster.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 University of Westminster before you apply. Global Educational Consultants is an independent consultancy.