Courses by Career and Interests

If you are majoring in engineering, finance, economics, math, political science, psychology, or any other science, then you will find that the coursework in your major relies heavily on math. In order to have the best opportunity to do well in those courses and absorb that material, it can be very beneficial to identify and take the appropriate math course.

Click on the Career Heading below to learn more about recommended math courses.

Below are courses at various levels that are needed for studies and careers in Quantitative Finance and Actuarial Science.  For more information please visit this dedicated page.

Number Title Codes
MATH 230 Probability QS
MATH 260 Python Programming in Mathematics QS
MATH 340 Advanced Introduction to Probability QS
MATH 342D Statistics QS
MATH 343 Theory and Methods of Statistical Learning and Inference QS
MATH 465 Introduction to High Dimensional Data Analysis QS
MATH 466 Mathematics of Machine Learning QS
MATH 541 Applied Stochastic Processes QS
MATH 545 Introduction to Stochastic Calculus QS
MATH 581 Mathematical Finance QS
MATH 582 Financial Derivatives
MATH 585 Introduction to Algorithmic Trading – Financial Data and Modeling
MATH 590-02 Advanced Special Topics in Mathematics
Number Title Codes
MATH 218-1 Matrices and Vector Spaces QS
MATH 260 Python Programming in Mathematics QS