MSc Computational Finance in London United Kingdom | University College London

The growing complexity of the financial industry is creating significant demand for professionals skilled in mathematics, finance, statistics, and computer science. The Computational Finance MSc develops highly capable quantitative analysts ('quants') in these fields within just twelve months. This intensive, cutting-edge program is delivered by UCL Computer Science, an internationally recognized institution with exceptional expertise in computational statistics and machine learning. As a Computational Finance MSc student, you'll master advanced quantitative techniques, modeling approaches, and programming competencies crucial for quant positions in trading, research, regulation, and risk management. This practical postgraduate program stands out by uniquely integrating finance, mathematics, statistics, and computer science.

Computational finance sits at the crossroads of mathematics, statistics, computer science, finance, and economics. Enhancing your abilities in these areas is vital for establishing yourself as a quant in major banks, hedge funds, financial regulators, or within fintech and emerging startups. You'll be taught by globally renowned specialists in this domain. The curriculum undergoes continuous updates to remain at the forefront of industry developments, with core modules covering financial engineering, numerical methods for finance, through to data science and machine learning applications in finance.