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For those who excel at solving problems, possess strong mathematical abilities, and have a passion for financial markets, Mathematical and Computational Finance offers the perfect blend of these talents. Professionals in this field use their expertise in mathematics, statistics, probability, and financial theory to analyze market trends, reduce risks, and enhance financial gains.
As part of this program, students will explore mathematics, statistics, probability, economics, and computer science alongside finance and business management at the John Molson School of Business. Dedicated courses in Mathematical and Computational Finance provide hands-on experience in applying mathematical principles to financial scenarios. Key learning outcomes include: Mastering computational and modeling methods for valuing tradable assets like bonds, securities, loans, energy, and derivatives, Gaining skills to design, model, price, hedge, and trade cutting-edge financial instruments, Cultivating analytical and strategic thinking for managing risks in intricate financial dealings
This program caters to students aiming to launch careers in quantitative finance or pursue advanced studies in financial engineering or mathematical finance.