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 Buckingham · Buckingham
MSc Applied Data Science
Develops advanced data science, analytics and AI skills applied to sectors such as finance, IT, healthcare and education. Suits STEM graduates or experienced professionals who want to become data scientists or lead data-driven work.
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
- 2:1 or higher in a STEM subject (Computing, Engineering, Physics or Mathematics); relevant work experience may be considered; programming skills and a good maths background
- Sri Lankan qualifications
- Bachelor's degree from a recognised institution with Lower Second Honours (55%), equivalent to a UK 2:2, depending on the school
- English (IELTS)
- 6.5 overall, 6.0 in each component
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 Buckingham.
- 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 buckingham.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 Buckingham before you apply. Global Educational Consultants is an independent consultancy.