Bachelor in Financial Mathematics

The University of Greenwich in London, founded in 1890, provides an accessible and vibrant educational experience in one of the world’s most dynamic cities. With nearly 20,000 students and more than 3,500 international students, Greenwich combines a diverse student body with historic riverside campuses and modern teaching facilities. Its central London setting offers easy access to cultural institutions, business hubs and internship opportunities across numerous sectors.

Offering around 224 programs across undergraduate and postgraduate levels, the university covers disciplines from business and engineering to the arts and health professions. Academic learning is complemented by industry-focused modules, placements and career services that support employability and professional development. International support services include orientation, language help and visa advice, helping students transition smoothly into life and study in the UK.

Students benefit from strong links with employers, active student societies and a supportive teaching environment that balances lectures with practical workshops and real-world projects. Greenwich’s emphasis on preparing graduates for the workforce, combined with London’s global networks and cultural richness, makes the university a practical choice for international students seeking quality education, professional experience and an engaging urban student life.

The Bachelor in Financial Mathematics at the University of Greenwich, London is a degree for students who want to learn about math and its application in finance. It takes three years to complete and helps students develop skills in mathematical algorithms, data analysis, and statistical modeling.

The curriculum includes modules like mathematical algorithms, calculus, and linear algebra. Students also learn about numerical mathematics, operational research, and statistical data analysis. In the final year, students can choose from options like actuarial mathematics, financial time series, and machine learning.

Graduates can pursue careers as data analysts, quantitative analysts, risk managers, actuarial analysts, and financial modelers. They can work in banks, insurance companies, and other organizations that need mathematical expertise to make financial decisions.