University of Strathclyde campus

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MSc Financial Mathematics & Data Science at University of Strathclyde

University of Strathclyde, United Kingdom

Programme overview

An advanced MSc for students with a mathematics background, taught across three departments, that develops skills in financial theory, statistics and data science. Graduates learn to apply quantitative techniques in a financial context using R and Python.

Faculty: Faculty of Science  |  Department: Department of Mathematics & Statistics  |  Duration: 12 months full-time (on campus)  |  Intake: September  |  Study mode: full-time  |  Location: Glasgow, Scotland, United Kingdom

What you will study

Semester 1 covers Foundations of Probability & Statistics, Big Data Fundamentals, Principles of Finance and Data Analytics for Accounting & Finance. Semester 2 covers financial stochastic processes and econometrics with options such as portfolio theory, AI for finance, deep learning and risk analysis. Semester 3 is a research project on a data science problem in a financial context.

Career pathways

Hedge fund manager, financial analyst, data scientist and financial systems developer roles in the financial sector.

Official programme page

Application information

Entry requirements

Minimum second-class (2:2) honours degree or overseas equivalent in mathematics, statistics or a closely related discipline with substantial mathematical or statistical content. Applicants with relevant experience or appropriate professional qualifications are also welcome to apply. For Australia and Canada, normal degrees are accepted. International applicants who do not meet the academic requirements can enter via the Pre-Masters Preparation Course at the University of Strathclyde International Study Centre. English language: IELTS 6.0 with no component below 5.5.

Domestic applicants: GBP 13,300 a year (2027/28). Scotland and England, Wales & Northern Ireland fee status; full-time per academic year Source

International applicants: GBP 28,500 a year (2027/28). Full-time per academic year Source

Intake: September

Duration: 12 months full-time (on campus)

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