The Master of Science in Financial Mathematics Program prepares students for jobs in the financial sectors, including investment banks, hedge funds, asset management firms and security companies that require substantial quantitative capabilities to solve practical problems in pricing derivatives, risk management, assets and liabilities management, and trading strategies. These jobs include quantitative analysts, derivatives traders, quantitative programmer, risk managers, sales of structured products and statistical analysts.
The curriculum is designed as a one-and-half year study for full-time students and three-year study for part-time students. Our Program is known for its solid curriculum that embraces option pricing theory, portfolio theory, risk models, time series analysis of financial data, financial economics, computer programming. We do expect students to be capable and efficient learners; and specifically, they are required to have a solid background in undergraduate level mathematics, statistics and computing.
We continue to enhance our curriculum through the introduction of new courses based on market relevance and recent innovative developments in the field of quantitative finance. In recent years, new courses on algorithm trading, market microstructure, financial computing, and structuring and trading strategies have been offered. The academic courses are offered by faculty members in the Mathematics Department that are actively engaged in various research areas in financial mathematics and stochastic analysis. Some of these faculty members have related consultancy experiences on industrial finance projects and used to deliver industrial courses to finance practitioners. The Program also invites a number of seasoned practitioners to teach market related courses. These industrial instructors are high level finance professionals who have been working in top international financial institutions (like Goldman Sachs, JP Morgan, BNP, HSBC, Fitch, etc.) and hold PhD degrees in science / engineering from leading universities (like Harvard, Cambridge, Oxford, University of Michigan, UCLA, etc.).
The Master of Science (MSc) program in Financial Mathematics aims to prepare students from quantitative disciplines for security pricing, trading strategies and risk management. The curriculum includes mathematical, statistical and computational methods for security pricing, asset allocation, speculative trading, and risk management, and offers comprehensive coverage on financial markets and valuable insights on the performance of various pricing models in market practice.
Graduates from this program are well prepared for jobs in trading and market making of derivatives, financial product development (structured products, insurance products etc.), investment decision making (fund management, trading strategies, etc.), and risk management (risk assessment, stress testing, etc.).
On completion of the program, students are expected to have:
-Comprehensive knowledge of financial products commonly traded in the markets and solid understanding of models of security pricing and hedging in equity, fixed-income, forex and credit markets.
-Solid understanding of the principles and technologies for risk management and trading strategies.
-The ability to construct quantitative models and use them for production through quantitative programming.