Statistics & Data Analytics
About this course
BSc/MSci in Statistics & Data Analytics, a mathematics and statistics degree focused on the collection, analysis, presentation, and interpretation of quantitative information. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, and Artificial Intelligence & Machine Learning. The curriculum includes independent project work evaluated by external examiners. The first year covers introductory mathematics alongside optional introductory statistics modules. The second year progresses through core studies in probability, statistical methods, multivariable calculus, and linear algebra. The third year builds advanced competence via compulsory modules such as Statistical Inference, Regression Models, Statistical Programming in R and Python, Multivariate Methods, Stochastic Processes, Principles of Designed Experiments and Surveys, Data Skills & Consultancy, Communication Skills and Ethics, and Multivariate Statistics and Machine Learning 2. The fourth year features compulsory advanced study in probability and statistics, Bayesian methods, flexible regression, and data analysis alongside a statistics project, plus optional choices like Spatial Statistics, Time Series, Theoretical Foundations of Machine Learning and Deep Learning, Biostatistics, Functional Data Analysis, Mathematical Finance, Statistical Genetics, and Environmental and Ecological Statistics. The fifth year concludes with a research project and further specialised options including Deep Learning.
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: AAB or BBB (Additional requirements: A-level Mathematics.) IB: 34 (6,5,5) (Additional requirements: HL Mathematics (Analysis & Approaches).) Scottish Higher: BBBB is the minimum requirement from S5 to be reviewed for an S6 offer Offers are not guaranteed to applicants who meet the minimum from S5 Typically offers will be made at AAAAA by end of S6. B at Advanced Higher is equivalent to A at Higher Additional requirements: Higher Mathematics and a Higher Science subject at AA. (AB may be considered). Scottish Higher (widening access): MD20 : BBBB (also other target groups*) MD40 : AABB* Additional requirements: Higher Mathematics and a Higher Science subject. Successful completion of Top-Up or one of our Summer Schools.
What students say
Based on about 11 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 80%
- Learning opportunities: 76%
- Assessment and feedback: 80%
- Academic support: 83%
- Organisation and management: 70%
- Learning resources: 93%
- Student voice: 76%
Do students stay on the course?
Based on about 10 students who started (a small group: a rough guide only)
- Continued on course: 100%
What graduates do next
Based on about 13 graduates who answered (a small group: a rough guide only)
- Working: 80%
- Working and studying: 10%
- Further study: 5%
Most common jobs
- Information Technology Professionals: 35%
- Business, Research and Administrative Professionals: 25%
- Business and public service associate professionals: 20%
- Administrative occupations: 5%
- Elementary occupations: 5%
- Find their work meaningful: 60%
- Feel on track for their future plans: 60%
- Use what they learnt on the course: 40%
Where graduates work (5 years on)
Based on about 25 graduates, across similar courses at this university (a small group: a rough guide only)
- North West: 10%
- London: 10%
- Scotland: 75%
- Northern Ireland: 5%
Who gets in
Based on about 10 students who started (a small group: a rough guide only)
- A levels: 75%
- Access course: 25%
Accreditation & quality ratings
- Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.
Modules
- Mathematics 1
- Statistics 1Y: Introduction to Statistics: Learning from Data
- Statistics 1Z: Data Modelling in Action
- Statistics 2R: Probability
- Statistics 2S: Statistical Methods, Models and Computing 1
- Mathematics 2A: Multivariable Calculus
- Mathematics 2B: Linear Algebra
- Statistics 2X: Probability II
- Statistics 2Y: Statistical Methods, Models and Computing 2
- Statistical Inference
- Regression Models
- Statistical Programming in R and Python
- Multivariate Methods
- Stochastic Processes
- Principles of Designed Experiments and Surveys
- Data Skills & Consultancy
- Communication Skills and Ethics
- Multivariate Statistics and Machine Learning 2
- Principles of Probability and Statistics
- Advanced Bayesian Methods
- Flexible Regression
- Advanced Data Analysis
- Statistics Project
- Spatial Statistics
- Time Series (Level H)
- 4H: Theoretical Foundations of Machine Learning and Deep Learning
- Biostatistics
- Functional Data Analysis
- 4H: Mathematical Finance
- Statistical Genetics
- Environmental and Ecological Statistics
- Statistics Research Project 5
- Spatial Statistics
- Time Series (Level H)
- 4H: Theoretical Foundations of Machine Learning and Deep Learning
- Deep Learning (M)
- Biostatistics
- Functional Data Analysis
- Statistical Genetics
- Environmental and Ecological Statistics (Level M)
Questions about this course
How much do graduates of Statistics & Data Analytics at University of Glasgow earn?
The median salary is £33,500 after 15 months, £31,500 after 3 years, £37,000 after 5 years. After five years the middle half of graduates earn between £32,000 and £42,500. The £37,000 median after five years is £6,000 less than the UK median for Statistics.
What do graduates of Statistics & Data Analytics at University of Glasgow do next?
95% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on Statistics & Data Analytics at University of Glasgow?
80% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for Statistics & Data Analytics at University of Glasgow?
The typical offer is AAB at A level. The average entrant had 223 UCAS points.
Is Statistics & Data Analytics at University of Glasgow accredited?
Yes. Accredited by the Royal Statistical Society (RSS) for the purpose of eligibility for Graduate Statistician status.
Does Statistics & Data Analytics at University of Glasgow include a placement year or year abroad?
The course has an optional year abroad.
How many students continue on Statistics & Data Analytics at University of Glasgow?
100% of students continued into their second year, and 0% left higher education.