MSc in Quantitaive Finance, University of Strathclyde

12 Months

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About this course

The MSc in Quantitative Finance at the University of Strathclyde is a 12-month full-time program designed to equip students with a solid understanding of financial theory, markets, numerical methods, and programming for financial applications. Developed with input from the finance industry, the course offers an opportunity for industry-based projects and industry placements during semester 3. The curriculum balances finance, mathematics, statistics, and computing science, providing students with practical skills, theoretical knowledge, and the ability to analyze financial data effectively. Through various teaching methods, including lectures, tutorials, labs, coursework, and projects, students gain insights into financial decision-making, risk management, and the role of technology in finance.

Why this course is highly recommended

This MSc is designed for ambitious students with a knack for mathematics and computing who want to transition into finance. It is industry-relevant, with input from finance professionals, and offers practical experience through a potential industry placement and a research project. Graduates have gone on to roles in top companies like Deloitte, PWC, and BlackRock, often earning competitive starting salaries. The program ensures you develop the technical and analytical skills needed to succeed in a competitive financial job market, making it excellent for those seeking a career in financial engineering, risk management, or related fields.

Specialisation

The program is a cross-faculty partnership between Strathclyde Business School and the Faculty of Science, targeting students with strong mathematical, statistical, and computing abilities who may not have studied finance in detail before. It prepares students for careers such as financial engineers and risk managers by focusing on quantitative models used in financial tools, products, and software. The coursework includes core modules in finance, mathematics, statistics, and optional classes in areas like behavioural finance, fixed income analysis, machine learning, and portfolio management, all aimed at deepening students’ expertise in quantitative finance.

Course fees

Application fees

1st year tuition fees

35.31L

Living cost

Degree requirements

Applicants should have a minimum second-class Honours degree or equivalent in engineering, science, business subjects, or a related field. Mathematics or statistics graduates should contact the course director for guidance. Prior mathematical knowledge such as calculus, linear algebra, differential equations, probability, and statistics is expected. Candidates must also meet the English language requirement of a minimum IELTS score of 6.0, with no component below 5.5, or an equivalent test result.

English language test

DUOLINGO

IELTS

TOEFL

PTE

Want to learn more about the admission process, eligibility criteria, and acceptance rates for international students? Visit the University of Strathclyde admission page for complete details.

Career prospects

Graduates of this program have found employment in roles such as Business Change Consultants, CEOs, Management Trainees, Risk Officers, and Trainee Actuarial Analysts at renowned firms. The course’s close links with industry and emphasis on practical skills enable students to pursue careers in financial engineering, risk management, and analytics at top companies like Deloitte, PWC, Bank of Ireland, and BlackRock. The university’s careers service also supports students with job placement advice, graduate opportunities, and networking, which helps in launching successful finance careers.

FAQs

What are the starting dates for the course?

The course begins in September 2025.

Is industry placement available during the program?

Yes, students have the opportunity to undertake an industry placement in semester 3, which may be in the UK or another country.