Courses

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M.S. in Financial Engineering
M.S. in Financial Analytics

Foundation Courses (a total of 12 credits)

  1. FE511 Introduction to Bloomberg and Thomson Reuters (1 credits)
  2. FE515 Introduction to R (1 credits)
  3. FE520 Introduction to Python for Financial Applications (1 credits)
  4. FE582 Foundations of Financial Data Science (2 credits) + FE513 Financial Lab: Database Design (1 credit)
  5. FE541 Applied Statistics with Applications in Finance
  6. Chose one course from the following (3 credits total):
  7. Data Visualization (3 credits). Chose one course from the following:
  8. Time Series (3 credits). Chose one course from the following:
  9. Machine Learning (3 credits). Chose one course from the following:
  10. Big Data (3 credits). Chose one course from the following:
  11. Optimization (3 credits). Chose one course from the following:
  12. FE800 Project in Financial Engineering (3 credits) - to be taken in the last semester

The MSFA program requires completion of 30 credits. Other courses may be substituted to those listed pending the Advisor's approval.

M.S. in Business Intelligence and Analytics
B.S. in Quantitative Finance
B.S. in Business & Technology
Financial Lab
Certificates

Algorithmic Trading Strategy

This graduate certificate is designed to provide aspiring financial engineers with the necessary understanding of the design and implementation of financial trading systems, with an emphasis on the role of software and automated decision support systems in trading strategies. The certificate also is suitable for technical professionals interested in applying their unique skills to the fast-changing realm of finance.

The following courses are required for this certificate:


Financial Computing

The Financial Computing certificate enables students to operate effectively in the complex financial computing environment. Students will develop expertise in implementation of financial computing models, knowledge of financial databases, financial engineering software and specialized programming languages. The combination of hands-on skills and a real-life financial computing project will enable them to compete for top jobs in this industry class.

The following courses are required for this certificate:

Additionally, students choose one of the following electives:

Students also choose two from the list of lab courses.


Financial Engineering

Students who complete this certificate will be able to apply engineering solutions to the finance industry and to see the landscape from a more quantitative perspective, enabling them to uncover create solutions to emerging problems. Students are encouraged to consider the full master's in Financial Engineering upon completing the certificate.

The following courses are required for this certificate:


Financial Risk Engineering

Courses in this certificate program emphasize a blend of technology and business that will help graduates to see the financial landscape from a systemic perspective and to analyze and manage risk efficiently.

The following courses are required for this certificate:


Financial Services Analytics

Students who complete this program will learn to apply data-driven solutions to complex financial problems, including the use of specific types of data, database management, and the coding of different analytical techniques. Graduates are sought after by employers for their abilities to create end-to-end business decision-making data analytics.

The following courses are required for the certificate:


Financial Software Engineering

Students who complete this certificate will go beyond the basics of software engineering to learn how engineering skills create direct value in financial markets, through an understanding of derivatives products, stochastic portfolio simulation, and pricing and hedging strategy.

The following courses are required for this certificate:


Financial Statistics

Through a curriculum exploring key topics in today's financial industry, such as securities and derivatives, students gain valuable insight on technology-driven opportunities in finance and learn to solve problems through advanced data analysis techniques and statistical experiments. Students who complete this certificate will be fully prepared to apply classroom lessons to real-world problems and opportunities in industry.

The following courses are required for this certificate: