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Mathematical Finance

Sophisticated mathematical tools are used not only by traders of derivatives but also by any bank or corporation that has to determine how much to spend for development and research, the best time to enter/exit the market, make a merger-acquisition decision, or manage risk. Today, all major financial institutions in the US employ graduates with very strong quantitative skills and solid knowledge of financial markets. The Boston University Mathematical Finance Program gives students the tools to be successful in careers that allow them to make a significant impact on the financial world through their design of financial instruments and models.

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MS | PhD | Part-time Program | Certificate Program

MS in Mathematical Finance

Unlike a master’s degree program in physics, engineering, or computational mathematics, all relevant mathematical concepts are presented exclusively in the context of financial applications and were expressly designed for graduate education in mathematical finance. The course curriculum equally covers the theoretical and the practical aspects of mathematical finance, while incorporating cutting-edge financial technology.

PhD in Mathematical Finance

Like the master’s, the PhD program is extremely quantitatively rigorous. Students pursuing a PhD degree will build a solid foundation of theory and application of concepts in the fields of mathematics and finance through high-level coursework.  Working closely with a faculty member, they will then delve into in-depth research applying the interplay of those fields.

Part-Time MS in Mathematical Finance

The master’s degree can be completed on a part-time basis. Students typically complete the program within two years. Students admitted to the part-time program will meet with their academic advisor to outline a plan for course completion that satisfies the prerequisites of each course. Some required courses are only offered on weekdays, during daytime hours.

Certificate in Mathematical Finance

A Certificate in Mathematical Finance is appropriate for professionals who do not need a degree in mathematical finance but would like to acquire some core knowledge in this field or enhance their knowledge base. A typical course load includes the following:

  • Introduction to Mathematical Finance
  • Mathematical Statistics
  • Stochastic Methods of Mathematical Finance
  • Computational Methods of Mathematical Finance
  • Statistical Analysis of Financial Data

Some required courses are offered on weekdays, during daytime hours. 

 

Andrew Lyasoff
Andrew Lyasoff
Associate Professor/Director, Mathematical Finance Program
left-quoteIt is hard to overstate the importance of an in-depth understanding of today’s financial environment and its governing principles. The graduate program in mathematical finance at the School of Management speaks directly to the challenges of the current climate.right-quote
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