As the financial sector becomes increasingly sophisticated, there is a high demand for interdisciplinary experts whose skills span mathematics, finance, computer science, and statistics. This includes a growing demand for specialists trained in computational statistics, machine learning and artificial intelligence At UCL Computer Science, a world-renowned centre for computational finance and machine learning, you will develop these advanced quantitative, modelling and programming skills while learning alongside leading academics and experts in the field.
The core topics covered in Computational Finance MSc are financial engineering, numerical methods, data science, and machine learning for finance. In addition to these, we offer optional modules in probability theory and stochastic processes, market and credit risk, market microstructure, algorithmic trading, numerical optimisation, networks and systemic risk, financial institutions and markets, blockchain technologies, applied computational finance, advanced machine learning, and others. In response to industry needs, this course combines mathematics, finance, statistics and computer science. By developing skills across these complementary areas, you will be well placed to pursue quantitative roles in a competitive and rapidly evolving financial sector.
We encourage applications from students who are interested in working at the intersection of finance, computing and mathematics. You should have a strong quantitative background and demonstrable skills in mathematics.
You can expect to acquire a combination of highly sought-after skills currently needed in the financial industry on this course, which embraces mathematics, statistics, finance and computer science in equal measure.
You will graduate with advanced quantitative, modelling and programming skills, which are essential for quant roles in trading, asset allocation, risk management, fintech, regulation and research.
Graduates are well-prepared for careers in traditional financial services, fintech companies, consulting firms, and quantitative or technology roles within financial institutions. The course also provides the entrepreneurial knowledge needed to thrive in the start-up ecosystem. According to data from the ( Graduate Outcomes Survey carried out by the Higher Education Statistics Agency (HESA), looking at the destinations of graduates in the 2017–2025 cohorts), popular employers include UBS, HSBC and JP Morgan Chase.
If you’re interested in learning more about the academic and professional journeys of UCL Computer Science students and graduates, please visit our Student Experiences page. While some of these testimonials feature alumni working in industry or research, we also interview students during their studies.
This course offers you the following benefits and opportunities:
| QS 综合 | 院校 | 学制 | 学费 |
|---|---|---|---|
| 第 37 位 | 伦敦国王学院King's College London | 1年 | 45400英镑/年 |
| 第 485 位 | 伦敦大学皇家霍洛威学院Royal Holloway, University of London | 1年 | 25500英镑/年 |