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External Partners Alumni Search Submit Return to home Search Search About About Olin Home Why Olin Equity, Diversity & Inclusion Leadership & Strategy News & Media Events Contact Us Programs Programs Home Explore Our Programs BS in Business Administration MBAs Specialized Master's Doctoral Executive Education Dual Degrees Faculty & Research Faculty & Research Home Faculty Directory Research Research Centers Olin Brookings Commission Olin Award Student Resources Student Resources Home Career Services Center for Experiential Learning Entrepreneurship Academic Calendars Student Organizations For Current Students For Military Veterans Admissions Admissions Home Scholarships & Aid Attend Program Events Visit Olin Ask a Student Student Profiles Request Information Refer a Candidate External Partners Alumni Programs Specialized Masters MS in Quantitative Finance Curriculum 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. Total credits: 39 Required: 34.5 credits Electives: 4.5 credits including experiential learning course and programming elective requirement &＃160; 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. Binbin LuMS in Quantitative Finance Read Binbin’s story Program Prerequisites Successful applicants to the Quantitative Finance program will demonstrate outstanding aptitude for advanced quantitative finance materials and a passion for the quantitative aspects of problem-solving. Students who have majored in mathematics, computer science, quantitative economics, engineering, physics and statistics are especially encouraged to apply to the Quantitative Finance program. Some background in the applications of computing to quantitative problem-solving is especially valuable. MS in Quantitative Finance Cost, Aid and Scholarships Curriculum Career Prospects Quick Links Apply Now Request Information View Curriculum Pathway Attend Program Event Visit Us Contact Us Graduate Admissions Olin Business School - Knight Hall One Brookings Drive St. Louis, MO 63130-4899 [email protected] 314-935-7301 888-622-5115 Office Hours: Monday–Friday, 8:30 a.m. to 5:00 p.m. Apply Now Visit Us Request Info One Brookings Drive, St. Louis, MO 63130-4899 [email protected] 314-935-7301 News & Media Events Faculty Directory WashU Center for Career Engagement Washington University home Olin Links Sitemap Privacy Policies Title IX Accessibility ©2024 Washington University in St. Louis