BSc Data Analytics
About this course
A BSc in Data Analytics, a degree combining mathematical and statistical methods with core computer science and software development. Core topics include Programming, Systems Design, Data Analysis, Statistics, Mathematical Modelling, and Artificial Intelligence & Machine Learning. Students can optionally undertake a year abroad. The first year covers foundational concepts through Programming Foundations, Mathematical Foundations, Calculus 1, and Essential Statistics. The second year introduces Advanced Programming, User & Data Modelling, Probability & Statistical Inference, and Mathematical & Statistical Computing. The third year builds competencies via Regression Modelling, Applied Linear Algebra, and Building Software Systems, alongside optional choices such as Foundations of Artificial Intelligence and Web Applications Development. The final year concludes with advanced studies including Individual Project, Statistical Modelling & Analysis, and Information Mining & Access.
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: Standard entry requirements*: Year 1 entry: BBB (Maths) Year 2 entry: ABB (Maths A, Computer Science B) IB: Standard entry requirements*: Year 1 entry: 30 (Mathematics HL5) Year 2 entry: 32 (Mathematics HL6, Computer Science HL5 including option D: Object-oriented Programming, in Java)
What students say
Based on about 42 final-year students who answered, across similar courses at this university
- Teaching on my course: 77%
- Learning opportunities: 79%
- Assessment and feedback: 79%
- Academic support: 88%
- Organisation and management: 61%
- Learning resources: 91%
- Student voice: 71%
Do students stay on the course?
Based on about 20 students who started (a small group: a rough guide only)
- Continued on course: 60%
- Left higher education: 40%
What graduates do next
Based on about 34 graduates who answered, across similar courses at this university
- Working: 75%
- Working and studying: 3%
- Further study: 4%
- Unemployed: 14%
Most common jobs
- Business, Research and Administrative Professionals: 20%
- Finance Professionals: 15%
- Business and public service associate professionals: 15%
- Information Technology Professionals: 15%
- Administrative occupations: 10%
- Find their work meaningful: 80%
- Feel on track for their future plans: 70%
- Use what they learnt on the course: 60%
Where graduates work (5 years on)
Based on about 160 graduates, across similar courses at this university
- North East: 1%
- North West: 1%
- Yorkshire and the Humber: 1%
- East Midlands: 1%
- East of England: 1%
- London: 4%
- Scotland: 91%
Who gets in
Based on about 10 students who started (a small group: a rough guide only)
- A levels: 60%
- Access course: 10%
- Other HE qualification: 10%
- No formal qualifications: 20%
Accreditation & quality ratings
- Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.
Modules
- Machines, Languages & Computation
- Information & Information Systems
- Programming Foundations
- Mathematical Foundations
- Calculus 1
- Essential Statistics
- Algebra & Geometry
- Advanced Programming
- Logic & Algorithms
- User & Data Modelling
- Probability & Statistical Inference
- Mathematical & Statistical Computing
- Linear Algebra
- Multivariate Calculus
- Regression Modelling
- Applied Linear Algebra
- Building Software Systems
- Foundations of Artificial Intelligence
- Web Applications Development
- Functional Programming
- Mobile App Development
- Communicating Mathematics & Statistics
- Individual Project
- Statistical Modelling & Analysis
- Applied Statistics in Society
- Mathematical Introduction to Networks
- Medical Statistics
- Software Architecture & Design
- Theory of Computation
- Information Mining & Access
- Advanced Functional Programming
Questions about this course
How much do graduates of BSc Data Analytics at University of Strathclyde earn?
The median salary is £32,000 after 15 months, £33,500 after 3 years, £41,000 after 5 years. After five years the middle half of graduates earn between £31,500 and £55,000. The £41,000 median after five years is £2,000 less than the UK median for Statistics.
What do graduates of BSc Data Analytics at University of Strathclyde do next?
82% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on BSc Data Analytics at University of Strathclyde?
77% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Data Analytics at University of Strathclyde?
The average entrant had 178 UCAS points.
Is BSc Data Analytics at University of Strathclyde accredited?
Yes. Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.
Does BSc Data Analytics at University of Strathclyde include a placement year or year abroad?
The course has an optional year abroad.
How many students continue on BSc Data Analytics at University of Strathclyde?
60% of students continued into their second year, and 40% left higher education.