The rising sophistication of the financial sector is bringing a great demand for experts with skills across mathematics, finance, statistics and computer science. The Computational Finance MSc produces talented quantitative analysts or ‘quants’ in these areas, in just one year. This fast-paced and innovative programme is taught at UCL Computer Science, a renowned centre of academic excellence, with world-class credentials in computational statistics and machine learning. As a student on the Computational Finance MSc, you will learn advanced quantitative, modelling and programming skills, which are essential for quant roles in trading, research, regulation, and risk. This applied taught postgraduate programme is distinctive in that it provides a combination of finance, mathematics, statistics, and computer science.Computational finance is at the intersection of mathematics, statistics, computer science, finance and economics. Elevating your skills in these disciplines is essential if you want to make your mark as a quant in a large bank, hedge fund or financial regulator, or in the world of fintech and innovative start-ups. You will learn from our world-leading experts in this field. The syllabus is constantly reviewed to stay ahead of the trends core modules span financial engineering and numerical methods for finance, to data science and machine learning for finance.