MS in Quantitative Finance Curriculum
You can complete your MSFQ degree in just three semesters with a minimum of 39 credits of required courses and graduate-level electives.
Prerequisites: Applicants should have taken Statistics and Calculus I.
Total credits: 39
Required: 34.5 credits
Electives: 4.5 credits including experiential learning course and programming elective requirement
Core coursework includes:
- Options & Futures
- Derivative Securities
- Advanced Derivative Securities
- Investment Theory
- Data Analysis for Investments
- Stochastic Foundations for Finance
- Data Analysis, Forecasting & Risk Analysis
- Mathematical Finance
- Fixed Income Securities
- Fixed Income Derivatives
- Introduction to Python & Data Science
- Quantitative Risk Management
- Professional Business Communication
Electives include, but are not limited to:
- Machine Learning Tools for Prediction of Business Outcomes
- Database Design & SQL
- Big Data & Cloud Computing
- Introduction to Artificial Intelligence
- Data Mining
- Data Structures & Algorithms
Required experiential course options (choose one):
- Internship, Business and Application
- Applied Problem Solving for Organizations
- CFAR Practicum
Olin’s program emphasizes the practical application of cutting-edge tools and technologies, such as machine learning, deep learning, Python, Tableau, Alteryx, Hadoop and Structured Query Language (SQL), to solve real-world financial problems. This approach ensures that students not only understand the theoretical aspects of finance but also gain proficiency in utilizing advanced software and methodologies for financial case analyses.
Contact Us
Graduate Admissions
Olin Business School - Knight Hall
One Brookings Drive
St. Louis, MO 63130-4899
Office Hours:
Monday–Friday, 8:30 a.m. to 5:00 p.m.