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This program, provided jointly by the Computer Science and Economics Departments, enables specialization in contemporary quantitative finance and computational approaches for financial modeling - skills highly sought after for careers in asset structuring, product valuation, and risk analysis.
You'll develop competencies including:
evaluating, assessing, and implementing computational finance techniques to real-world challenges like derivative pricing and risk evaluation
examining and appraising computational finance methodologies and their relevance to particular scenarios
utilizing approaches including clustering, regression, support vector machines, boosting, decision trees, and neural networks
assessing and judging the suitability of machine learning algorithms for financial applications.
Program length: 2 years full-time