Financial Risk Management/Fintech Track

Build a financial career on fintech innovation.

Will you be ready to meet industry needs?

Acquire a comprehensive set of skills to understand how disruptive and innovative new technologies give organizations a competitive edge in the financial sector with our Financial Risk Management/Fintech track. Organizations need professionals who understand the integration of technology and finance as customers expect more customization and personalization of their financial services. 

Contact Us

Graduate Programs Office
School of Management
University at Buffalo
203 Alfiero Center
Buffalo, NY 14260-4010

Tel:  716-645-3204
Fax: 716-645-2341
som-apps@buffalo.edu
Meet our Team

  • Learn fundamental concepts of finance, such as performance and risk measurement, diversification and financial modeling
  • Visualize, interpret and manipulate large financial data sets
  • Understand how the financial ecosystem evolves with emerging technology and regulations
  • Explore the impact of cybersecurity on the finance industry
  • Prepare for the CFA exam by taking relevant finance courses and gain the technical expertise to implement finance concepts

The MS Finance is a STEM (science, technology, engineering and mathematics) curriculum with 36 credits typically completed in three semesters. Some students extend to a fourth semester, and UB undergraduates may be able to complete the program in two semesters. All majors are welcome to apply; however, business, math, economics and engineering majors are ideally suited to the program.

Curriculum

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Fall 2

MGF 696LEC Portfolio Theory and Strategy

The course covers sophisticated approaches to investing and it has an introduction and three main parts. The introduction covers measures of performance and risk and methods to calculate them in closed form or from historical data. The first part of the course covers investment strategies across several asset classes, from traditional ones such as value or growth investing to strategies employed by hedge funds, such as arbitrage, option trading and other quant strategies. The second part of the course addresses portfolio construction, from assessing a utility function to the investor to constructing an optimal portfolio maximizing that utility. Investor types covered are individuals saving for retirement, speculators, university endowments or foundations, or pension funds. Finally, the last part of the course addresses the topic of risk measurement and management, with an emphasis of risks faced by decentralized organizations, such as funds of funds, foundations, or pension funds.

Credits: 3.00
Semesters offered: Fall 2019
Co-Requisite: MGF 633.


Select 1:

MGF 644LAB Supervised Research - Fixed Income

Students will learn to conduct empirical research on fixed-income securities. The initial learning process involves a limited number of lectures on fixed-income pricing theory, followed by formal training on how to access data from fixed-income database(s). Using the above resources students will also build an investment portfolio for a given risk level. Students will then develop testable hypotheses that employ mathematical modeling, and develop and apply statistical analyses to data to test the hypotheses. Finally, students will develop and present a professional research report based on the empirical findings.

Credits: 3.00
Semesters offered: Fall 2019


MGF 645LAB Supervised Research - Equities

Students will learn to conduct empirical research on equities. The initial learning process involves a limited number of lectures on asset-pricing pricing theory, followed by formal training on how to access data from equity-related database(s). Students with then develop testable hypotheses that employ mathematical modeling, and develop and apply statistical analyses to data to test the hypotheses. Finally, students will develop and present a professional research report based on the empirical findings.

Credits: 3.00
Semesters offered: Fall 2019 | Spring 2020


+ 2 Electives

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