Data Analytics for Economics & Finance MSc
This multi-disciplinary program prepares you for data-driven careers in economics and finance. It is ranked in the top 70 of the 2025 QS Master’s in Business Analytics. It combines insights from economics, finance, statistics, and computing science. With a focus on rigorous data methods, graduates gain essential skills to inform complex decision-making. The program is jointly delivered by the Adam Smith Business School and the School of Computing Science. It provides you with future-proof, in-demand expertise for today’s fast-changing industries.
WHY THIS PROGRAMME
- The programme will build on your strong interest in data analytics to develop their skills in using data rigorous methods in order to inform complex decision making, using big data.
- This programme offers a distinctive and innovative multi-disciplinary approach to the field of data analytics as applied to economics and finance, comprising core and elective courses offered from the Departments of Economics, Accounting & Finance, and Computing Science.
- You will complete advanced training in order to develop data analytic skills in preparation for successful careers in business or industry.
- The programme also provides a solid foundation for PhD study.
- You will have the opportunity to participate in summer project internships with some of our prestigious partners.
- You can gain recognition for extra-curricular activities by joining the Adam Smith Business School’s Graduate Award Scheme.
Campus Information
Gilmorehill Campus
Gilmorehill Campus is located in the west end of Glasgow, 3 miles from the city centre. This is where you will find our grand main building and many of the University’s teaching and research facilities.
Intakes
- Sep
Application Processing Time in Days: 30
Minimum English Language Requirements
| English Level Description | IELTS (1.0 -9.0) | TOEFL IBT (0-120) | TOEFL CBT (0-300) | PTE (10-90) | |
|---|---|---|---|---|---|
| Expert | 9 | 120 | 297-300 | 86-90 | |
| Very Good | 8.5 | 115-119 | 280-293 | 83-86 | |
| Very Good | 8 | 110-114 | 270-280 | 79-83 | |
| Good | 7.5 | 102-109 | 253-267 | 73-79 | |
| Good | 7 | 94-101 | 240-253 | 65-73 | |
| Competent | 6.5 | 79-93 | 213-233 | 58-65 | |
| Competent | 6 | 60-78 | 170-210 | 50-58 | |
| Modest | 5.5 | 46-59 | 133-210 | 43-50 | |
| Modest | 5 | 35-45 | 107-133 | 36-43 | |
| Limited | 4 | 32-34 | 97-103 | 30-36 | |
| Extremely Limited | < 4 | < 31 | < 93 | < 30 |
Job Opportunity Potential
The MSc Data Analytics for Economics & Finance will be suitable for those who have developed a strong interest in obtaining data analytic skills combined with economic insights and aspire to?follow a career in?finance, banking, consulting, government and other major international institutions.
The programme delivers a multi-disciplinary curriculum that will prepare graduates for work in all fields of data-rigorous professions related to economics and finance, as well as marketing and business. It is also advantageous for direct admission to a PhD programme.
Admission Requirement / Eligibility Criteria
- 2.1 Hons (or non-UK equivalent) in Economics, Finance, Computing Science or another subject with a quantitative focus.
Additional documents required when applying for this programme
In addition to the documents listed in 'how to apply', please supply a personal statement detailing:
- why you have applied for this programme
- the relevant experience you have to support your application
- how you think the programme will benefit you in the future.
It is compulsory to submit this personal statement along with the rest of your application.
For More Information Please Contact To Our PSA Counselor.
- Course Type: Full Time
- Course Level: Masters/PG Degree
- Duration: 01 Year
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Total Tuition Fee:
31800 GBP
Average Cost of Living: 13632 GBP /year
Application Fee: N/A