The Minor in Computational Finance will provide students with proficiency in applying analytical models and machine learning methods to solve challenging financial tasks. The Minor will introduce students to tasks and  real world datasets used across the financial industry . The Minor will equip students with the skills needed for positions in the financial industry (banking and investment) or with financial regulators (SEC, FINRA, Fannie Mae, etc.) or to explore innovative opportunities in the Financial Technology (FinTech) industry. 

The notation will comprise fifteen credits (five courses) that can be completed over a period of four semesters.  

Learning outcomes include the following:

• Proficiency in manipulating financial datasets.

• The application of analytical models and machine learning algorithms to challenging financial problems.

• A capstone project with academic and industry mentors that will include significant modeling and analysis against a real world financial dataset.

The academic co-Directors for the Minor are Professors Pete Kyle  (Finance) and Louiqa Raschid (DOIT and UMIACS and Computer Science).

• The application process for the FALL 2026 COHORT is closed. Register your interest for the FALL 2027 cohort and apply in Spring 2027 (December 2026 through February 2027).

• Check out the 2025 Summer Reading Group conducted by Somil Varshney.