
Course Overview
Offered by University of Warwick, the MSc Economics and Data Science provides a comprehensive postgraduate education in social sciences. Based in Coventry, England, this Russell Group university offers a research-led approach to learning, with a 1-year full-time structure. This highly quantitative one-year MSc course equips you with the skills to analyse and interpret complex economic phenomena in today’s data-driven, dynamic global economy. The availability of big data and the use of algorithms in decision-making, whether in the private or public sector, has made it essential to have the ability to parse through large datasets, provide data-driven solutions and critically analyse their results. The programme offers intensive training in state-of-the-art data science methods as well as economics and econometrics. A minimum ielts score of 6.5 is required for admission. Graduates from this programme benefit from strong career prospects, with 87% student satisfaction rating, a median graduate salary of £45,000 within three years, a 95% continuation rate, and 70% of graduates in employment or further study.
What You'll Learn
Entry Requirements
📋 Academic Entry Requirements
| Postgraduate Requirement | 2:1 |
🗣️ English Language Requirements
| Test | Overall | L | R | W | S |
|---|---|---|---|---|---|
| IELTS Academic | 6.5 | 6 | 6 | 6 | 6 |
L = Listening, R = Reading, W = Writing, S = Speaking
Tuition Fees & Funding
International Student Fee
£37,450
per year
Home Student Fee
£29,200
regulated fee
Scholarships available for eligible students
Fees shown are for current entry. Fees may increase annually in line with inflation.
Graduate Outcomes
Salary data is not yet available for this course.
💼 Employment Breakdown
Graduate employment outcomes are sourced directly from Discover Uni for this specific course and provider. For full details, visit Discover Uni at Discover Uni.
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About University of Warwick
University of Warwick offers Economics and Data Science as part of its comprehensive programme offerings.
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