MSci Data Science (with Industrial Experience)
About this course
MSci Hons in Data Science (with Industrial Experience), a mathematics and statistics degree centred on computational and mathematical approaches to data analysis. Core topics include Programming, Systems Design, Computer Architecture, Embedded Systems, Control Systems, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Ethics & Professional Practice, Human Behaviour, Artificial Intelligence & Machine Learning, and Design & Creative Practice. Students complete an industrial placement lasting 10 to 15 weeks as well as a substantial individual project in their final year. The first year covers core subjects through modules such as Designing Software Systems, Digital Systems, Fundamentals of Computer Science, Matrices and Calculus, Probability and Statistics, and Software Development. The second year builds competence via modules including HCI: Designing for People, Multivariate Probability and Statistics, Project Skills, and Secure Data and Systems, alongside optional choices such as Applied Data Science, Artificial Intelligence, Extended Reality, Internet Applications, Algorithms, Applied Security Methods, Data Engineering, and Sustainable Computing. In the third year, students undertake the Third Year Project (Data Science) and can choose from various advanced options like Advanced Programming, Changepoint and Time Series Analysis, Computer Science Education, Computer Vision, Digital Health, Environmental Statistics, Languages and Compilation, Machine Learning, Medical Statistics, Natural Language Processing, Quantum Computing, Secure Artificial Intelligence, Secure Cyber Physical Systems, Secure Distributed Systems, Statistical Inference, Statistical Learning and Prediction, and Stochastic Processes. The final fourth year includes the Fourth Year Individual Project, a Placement module, and Research Methods & Innovation, with further optional study in Advanced Statistical Modelling or Engineering and Verifying Secure Distributed Systems.
Written by AI from the university's course page and module list. It can get details wrong, so check the official course page before you rely on it.
Entry requirements
A level: AAA. This should include Mathematics grade A or Further Mathematics grade A. IB: 36 points overall with 16 points from the best 3 HL subjects including 6 in Mathematics HL (either analysis and approaches or applications and interpretations)
What students say
Based on about 11 final-year students who answered, across similar courses at this university (a small group: a rough guide only)
- Teaching on my course: 91%
- Learning opportunities: 92%
- Assessment and feedback: 74%
- Academic support: 93%
- Organisation and management: 85%
- Learning resources: 91%
- Student voice: 88%
Do students stay on the course?
Based on about 10 students who started, across similar courses at this university (a small group: a rough guide only)
- Continued on course: 90%
- Left higher education: 10%
What graduates do next
Based on about 47 graduates who answered, across similar courses at this university
- Working: 62%
- Working and studying: 16%
- Further study: 15%
- Unemployed: 2%
Most common jobs
- Business, Research and Administrative Professionals: 20%
- Teaching Professionals: 15%
- Business and public service associate professionals: 15%
- Finance Professionals: 15%
- Information Technology Professionals: 10%
- Find their work meaningful: 80%
- Feel on track for their future plans: 80%
- Use what they learnt on the course: 55%
Where graduates work (5 years on)
Based on about 215 graduates, across similar courses at this university
- North East: 1%
- North West: 40%
- Yorkshire and the Humber: 9%
- East Midlands: 8%
- West Midlands: 10%
- East of England: 6%
- London: 14%
- South East: 6%
- South West: 4%
- Wales: 3%
- Scotland: 1%
Who gets in
Based on about 15 students who started, across similar courses at this university (a small group: a rough guide only)
- A levels: 90%
- Baccalaureate: 10%
Accreditation & quality ratings
TEF 2023 (whole university): Gold overall, Silver for student experience, Gold for student outcomes.
Modules
- Designing Software Systems
- Digital Systems
- Fundamentals of Computer Science
- Matrices and Calculus
- Probability and Statistics
- Software Development
- HCI: Designing for People
- Multivariate Probability and Statistics
- Project Skills
- Secure Data and Systems
- Applied Data Science
- Artificial Intelligence
- Extended Reality
- Internet Applications
- Algorithms
- Applied Security Methods
- Data Engineering
- Sustainable Computing
- Third Year Project (Data Science)
- Advanced Programming
- Changepoint and Time Series Analysis
- Computer Science Education
- Computer Vision
- Digital Health
- Environmental Statistics
- Languages and Compilation
- Machine Learning
- Medical Statistics
- Natural Language Processing
- Quantum Computing
- Secure Artificial Intelligence
- Secure Cyber Physical Systems
- Secure Distributed Systems
- Statistical Inference
- Statistical Learning and Prediction
- Stochastic Processes
- Fourth Year Individual Project
- Placement
- Research Methods & Innovation
- Advanced Statistical Modelling
- Engineering and Verifying Secure Distributed Systems
Questions about this course
How much do graduates of MSci Data Science (with Industrial Experience) at Lancaster University earn?
The median salary is £31,000 after 15 months, £30,500 after 3 years, £40,000 after 5 years. After five years the middle half of graduates earn between £30,500 and £50,000. The £40,000 median after five years is £3,000 less than the UK median for Statistics.
What do graduates of MSci Data Science (with Industrial Experience) at Lancaster University do next?
94% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on MSci Data Science (with Industrial Experience) at Lancaster University?
91% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for MSci Data Science (with Industrial Experience) at Lancaster University?
The typical offer is AAA at A level, or 36 points in the IB. The average entrant had 157 UCAS points.
How many students continue on MSci Data Science (with Industrial Experience) at Lancaster University?
90% of students continued into their second year, and 10% left higher education.