Loughborough University

What you'll study

This programme blends core finance and quantitative modules with applied trading practice. Typical taught topics include financial markets and instruments, derivatives and fixed income, portfolio theory, risk management, and market microstructure. Quantitative and technical modules cover econometrics for finance, time series analysis, programming for finance (commonly Python or R), and machine learning applications to market data.

A distinctive element is a practical trading and market-data lab where you work with live or historical market feeds, electronic execution platforms and algorithmic trading tools to build and test strategies. You will also complete a substantial individual project or dissertation, often applied to real datasets or sponsored by an industry partner.

• Core modules: financial markets and instruments; derivatives and fixed income; portfolio management; risk management.
• Quantitative modules: financial econometrics; time series and forecasting; programming for finance; data analytics and machine learning.
• Applied practice: trading lab / market microstructure; algorithmic trading and execution; project work or dissertation.
• Optional modules may allow specialisation in areas such as fintech, corporate finance, or advanced quantitative methods depending on availability.

Entry requirements

Applicants are normally expected to have a good undergraduate degree (equivalent to a UK upper second-class honours) in a numerate discipline such as finance, economics, mathematics, statistics, engineering, or computer science. Candidates with a lower classification plus relevant work experience in finance or strong quantitative evidence may also be considered.

Admissions typically look for demonstrable quantitative ability, programming experience or strong analytical coursework. International applicants must meet the university's English language requirements; an appropriate academic English test score or equivalent prior study in English is usually required.

Career prospects

Graduates move into roles across financial services and related industries. Common career paths include graduate trader, quantitative analyst (quant), execution or sales trader, risk analyst, portfolio manager, or research analyst. The combination of practical trading experience and quantitative training also suits roles in asset management, hedge funds, proprietary trading firms, investment banks, fintech companies and regulatory or consultancy roles that require understanding of market microstructure and data-driven decision making.

The programme’s London connections, practical lab work and career support help prepare students for fast-moving market-facing roles as well as for further research or professional qualifications in finance.

Why study at Loughborough University

Loughborough combines a strong academic foundation in finance and applied quantitative methods with direct industry engagement. The university offers focused support for employability, access to industry speakers and events, and a practical learning environment designed to reflect contemporary trading desks. Studying through Loughborough’s campus and London activities provides proximity to financial markets and employers, while benefiting from the university’s broader strengths in research and student support.

Students also benefit from dedicated careers services, networking opportunities with alumni and firms, and facilities that support hands-on learning with market data and trading platforms. The programme is suited to those who want a career-focused, technically robust education in finance and trading.