MSc in Data Analytics for Economics and Finance, University of Glasgow

Glasgow,

12 Months

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About this course

This MSc program is designed to prepare students for data-driven careers in economics and finance. It emphasizes rigorous data methods and combines insights from economics, finance, statistics, and computing science. Delivered over 12 months full-time at the Gilmorehill campus in Glasgow, the course is ranked in the top 70 of QS Master’s in Business Analytics 2025. The program offers advanced training in time series analysis, econometrics, Bayesian inference, and machine learning, aiming to develop skills for complex decision-making using big data. It is suitable for those interested in careers in finance, banking, consulting, and government, or for pursuing PhD studies.

Why this course is highly recommended

This course is highly recommended because it offers a distinctive, multi-disciplinary approach to data analytics in economics and finance, with industry-relevant industry projects and internship opportunities. Its focus on advanced data methods, such as Bayesian inference and machine learning, provides in-demand skills for today's fast-evolving industries. Graduates gain practical experience and a solid foundation for future careers or PhD study, all delivered by an excellent, triple-accredited business school.

Specialisation

The program combines multidisciplinary insights from Economics, Accounting & Finance, and Computing Science. It offers core courses in econometrics, time series analysis, microeconometrics, and Bayesian inference. Electives include applied finance, data science, deep learning, and computational finance, allowing students to tailor their studies to specific career interests.

Course fees

Application fees

1st year tuition fees

33.57L

Living cost

Degree requirements

Applicants need a 2.1 Honours degree (or non-UK equivalent) in Economics, Finance, Computing Science, or another quantitative subject. They must submit a personal statement explaining their motivation and relevant experience. A reference from an academic source is required, along with proof of English language proficiency if applicable.

English language test

PTE

TOEFL

DUOLINGO

IELTS

6.5

Career prospects

Graduates suited for this program can expect to follow careers in finance, banking, consulting, government, and international institutions. The program prepares students for data-intensive roles across these sectors, and offers a strong foundation for further PhD research. Engagement in industry projects and internships enhances practical skills and employability.

FAQs

What are the English language requirements?

Applicants from non-English speaking countries must meet specific IELTS, TOEFL, PTE, or Cambridge English requirements, with respective minimum scores listed. Alternative qualifications or pre-sessional courses may also be accepted.

Are industry projects guaranteed?

Industry projects are not guaranteed; they depend on project availability and review processes. Students may also opt for a research proposal for their dissertation if industry projects are unavailable.