BSc Economics with Data Science
About this course
Bachelor of Science in Economics with Data Science, an economics degree centred on mathematical and computational approaches to economic theory and empirical analysis. Core topics include Programming, Data Analysis, Statistics, Mathematical Modelling, Research Methods, Policy Analysis, and Artificial Intelligence & Machine Learning. Students complete a final-year dissertation project alongside employability modules running across all three years. The first year covers core foundations through Principles of Macroeconomics, Statistics for Economics, and Linear Algebra I. The second year progresses to Applied Econometrics, Computational Economics, and Econometrics with Big Data, alongside options such as Fundamentals of Data Science in R and Dynamic Macroeconomics. The final year involves Advanced Econometrics with Machine Learning and Empirical Finance, with optional modules including Behavioural Economics, Labour Economics, and Public Economics.
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 including Mathematics IB: Pass, with 36 points overall with 18 at Higher Level, including 6 points from Higher Level Mathematics (Analysis and Approaches or Applications and Interpretation)
Real offers for this course
Applicants have posted 1 UCAS decision for BSc Economics with Data Science (L115) at the University of Southampton for 2027 entry so far. The published offer is AAA at A level.
What students say
Based on about 7 final-year students who answered (a small group: a rough guide only)
- Teaching on my course: 85%
- Learning opportunities: 78%
- Assessment and feedback: 64%
- Academic support: 80%
- Organisation and management: 95%
- Learning resources: 90%
- Student voice: 70%
Do students stay on the course?
Based on about 240 students who started, across similar courses at this university
- Continued on course: 95%
- Left higher education: 5%
What graduates do next
Based on about 42 graduates who answered, across similar courses at this university
- Working: 61%
- Working and studying: 19%
- Further study: 6%
- Unemployed: 6%
Most common jobs
- Finance Professionals: 50%
- Business and public service associate professionals: 15%
- Administrative occupations: 5%
- Elementary occupations: 5%
- Teaching Professionals: 5%
- Find their work meaningful: 80%
- Feel on track for their future plans: 75%
- Use what they learnt on the course: 30%
Where graduates work (5 years on)
Based on about 130 graduates, across similar courses at this university
- Yorkshire and the Humber: 1%
- East Midlands: 2%
- West Midlands: 2%
- East of England: 11%
- London: 51%
- South East: 27%
- South West: 5%
- Wales: 2%
Who gets in
Based on about 20 students who started (a small group: a rough guide only)
- A levels: 80%
- Foundation course: 15%
- Other HE qualification: 5%
Accreditation & quality ratings
TEF 2023 (whole university): Silver overall, Silver for student experience, Silver for student outcomes.
Modules
- Economics Skills and Employability 1
- Economics with Data
- Economics with Experiments
- Linear Algebra I
- Mathematics for Economics
- Principles of Macroeconomics
- Statistics for Economics
- Computational Mathematics
- Foundations of Microeconomics
- Principles of Microeconomics
- Quantitative Modelling in Economics
- Applied Econometrics
- Computational Economics
- ECON Dissertation: Prelim Info
- Econometrics with Big Data
- Economics Skills and Employability 2
- Intermediate Macroeconomics
- Intermediate Microeconomics
- Development Economics
- Dynamic Macroeconomics
- Econometric Theory
- Fundamentals of Data Science in R
- Games
- Industrial Economics
- Introduction to Econometrics
- Advanced Econometrics with Machine Learning
- Dissertation: Literature Review
- Economics Skills and Employability 3
- Empirical Finance
- Advanced Social Data Science
- Applied Social Quantitative Analysis
- Behavioural Economics
- Choice and Decision
- Dissertation: Research Project
- Dissertation: Research Topics
- International Macroeconomics
- International Trade
- Labour Economics
- Principles of Finance
- Public Economics
- Topics in Macroeconomics
Questions about this course
How much do graduates of BSc Economics with Data Science at University of Southampton earn?
The median salary is £32,000 after 15 months, £34,000 after 3 years, £46,500 after 5 years. After five years the middle half of graduates earn between £36,500 and £59,000. The £46,500 median after five years is £2,000 less than the UK median for Economics.
What do graduates of BSc Economics with Data Science at University of Southampton do next?
85% were in work or further study 15 months after finishing (Graduate Outcomes 2023-24).
Are students happy with the teaching on BSc Economics with Data Science at University of Southampton?
85% of final-year students were positive about the teaching in the National Student Survey 2025-26.
What grades do I need for BSc Economics with Data Science at University of Southampton?
The typical offer is AAA at A level, or 36 points in the IB. The average entrant had 139 UCAS points.
Does BSc Economics with Data Science at University of Southampton include a placement year or year abroad?
The course has an optional placement year.
How many students continue on BSc Economics with Data Science at University of Southampton?
95% of students continued into their second year, and 5% left higher education.