University of Wales, Swansea

What you'll study

Teaching combines theory and applied workshops. Students learn to work with large datasets and industry-standard analytics platforms, develop programming competence in languages including Python and R, and apply advanced financial models to real-world problems. Practical elements include programming labs, data analytics workshops and case-based discussions using the Finance Labs databases and tools.

Entry requirements

The school considers applicants on individual merit and welcomes a wide range of qualifications. The programme is designed primarily for graduates from finance-related subjects or those with backgrounds in economics or quantitative/statistical methods. The typical offer listed by the university is a 2.2 undergraduate degree.

Career prospects

Graduates gain technical and professional skills targeted at roles in the financial services industry. Typical career paths noted by the university include finance analyst, fund manager, data specialist, portfolio manager, consultant and risk manager. The course also supports progression to research degrees such as a PhD in Finance or Economics and roles as research assistants in academic or policy institutions.

Scholarships & funding angle

The programme page references tuition and funding information and a dedicated postgraduate funding section; prospective students should consult the universitys tuition and scholarships pages for current fees, scholarships, and additional cost guidance. The course offers free membership of the CQF Institute and access to its resources as part of the student experience.