Topics in Mathematics with Applications in Finance
Introduction to mathematical concepts and techniques used in finance. Lectures focusing on linear algebra, probability, statistics, stochastic processes, and numerical methods are interspersed with lectures by financial sector professionals illustrating the corresponding application in the industry. Prior knowledge of economics or finance helpful but not required.
Fall 2024
This is an updated version of {{% resource_link "27e63b7c-484a-4e85-bf49-460d6c108ea2" "*18.S096 Topics in Mathematics with Applications in Finance*" %}} from Fall 2013. Please visit the {{% resource_link "27e63b7c-484a-4e85-bf49-460d6c108ea2" "*18.S096* site" %}} for more materials and lecture recordings. {{% resource_link "2b860f0c-9c52-44f8-af14-85bc49312fb4" "An investment game" %}} is also available as an additional learning resource. The purpose of the class is to expose undergraduate and graduate students to the mathematical concepts and techniques used in the financial industry. The course will consist of a set of mathematics lectures on topics in linear algebra, probability, statistics, stochastic processes, and numerical methods. Mathematics lectures will be mixed with lectures illustrating the corresponding application in the financial industry. MIT mathematicians will teach the mathematics part while industry professionals will give the lectures on applications in finance.
Prerequisites & course information
Prereq: 18.03 , 18.06 , and ( 18.05 or 18.600 ) U (Fall) 3-0-9 units
Sources
- Course catalogue ↗2026–2027
- MIT OpenCourseWare ↗Fall 2024
- MIT OCW syllabus ↗
- MIT OCW calendar ↗
- Historical MIT OpenCourseWare offering. Named reading entries and schedule topics are automatically extracted from the linked source pages.