Financial Mathematics at Johns Hopkins University at Main

The financial mathematics master’s program at Johns Hopkins is offered through the Department of Applied Mathematics and Statistics as a Master’s of Science in Engineering (MSE) degree. Students with a strong quantitative undergraduate background are encouraged to apply for admission to the program.

The Master’s program in Financial Mathematics will provide a solid foundation in applied mathematics, providing the basis for an understanding and appreciation of existing models commonly used in financial applications and inferential and computational tools for developing their solution.  The program will also furnish the appropriate insights in Finance where quantitative skills are most germane. The combination of these elements will create a springboard for addressing today’s quantitative challenges in finance as well as provide the preparation to meet the challenges of the future.

Learning Objectives for Financial Mathematics Master’s students:

• Gain knowledge of financial markets and asset classes, how markets are regulated, how they are structured and operate
• Gain knowledge of investments, portfolios, asset allocation, risk management
• Gain knowledge of how financial derivatives are modeled and valued
• Gain an ability for areas of applied mathematics that are most useful in real financial application (statistical analysis, time series analysis, optimization, Monte-Carlo methods, stochastic processes)
• Develop communications skills
• Develop computational skills
• Gain insight as to how this knowledge and these skills integrate in the workplace environment