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 Lincoln · Lincoln
MSc Data Science and Applied Analytics
Focuses on handling and analysing large datasets, statistical modelling and turning data into insight across different application areas. Aimed at graduates with some quantitative background who want a career in analytics or data science.
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 UK 2:2 degree (or equivalent) plus GCSE Maths grade C/4 or a maths component of at least 50% in the degree; a 2:2 in a STEM subject also qualifies
- Sri Lankan qualifications
- 4-year Bachelor's degree with GPA 3.3/4.0 for UK 2:1 equivalence or 3.0/4.0 for 2:2 equivalence
- English (IELTS)
- 6.0 overall, minimum 5.5 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 University of Lincoln.
- 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 lincoln.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 Lincoln before you apply. Global Educational Consultants is an independent consultancy.