Description
Mathematical models and computational methods are becoming increasingly important for quantitative analysis, risk management, strategies implementation, and other areas in the finance industry. Students choosing the Mathematical Economics and Quantitative Finance option will acquire a solid foundation in applied and computational mathematics as well as a grounding in economic theory. It is ideal for students interested in economics who want a more mathematical training and for students in quantitative finance who wish to learn more fundamental economics. The Option is also useful for those preparing for graduate school in Computational Finance, Financial Engineering, or Economics since mathematical models and computational methods are heavily used in these disciplines.
Option Core (40-41 credits)
- STAT 390: (4) Statistical Methods in Engineering and Science or CFRM 410** (3): Probability and Statistics for Computational Finance
- CSE 163: (4) Intermediate Data Programming
- ECON 200**: (5) Introduction to Microeconomics
- ECON 201**: (5) Introduction to Macroeconomics
- ECON 300**: (5) Intermediate Microeconomics
- MATH 300: (3) Introduction to Mathematical Reasoning
- MATH 318: (3) Advanced Linear Algebra Tools and Applications
- MATH 327: (3) Introductory Real Analysis I
- MATH/STAT 394**: (3) Probability I
- MATH/STAT 395: (3) Probability II
- MATH 407: (3) Linear Optimization
Take one of the following sequences (2 courses, 6-10 credits)
- Optimization - MATH 408: (3) Nonlinear Optimization and MATH 409: (3) Discrete Optimization
- Stochastic Processes - MATH/STAT 491: (3) Introduction to Stochastic Processes I and either MATH/STAT 492: (3) Introduction to Stochastic Processes II or MATH/STAT 493: (3) Stochastic Calculus for Option Pricing
- Economics - ECON 482: (5) Econometric Theory and Practice and either ECON 483: (5) Econometric Applications or ECON 484: (5) Econometric and Data Science
Electives (9 credits)
Any course listed above can be an elective, unless it is used towards a requirement. Can also choose from the pre-approved list below.
- CFRM 405: (3) Mathematical Methods for Quantitative Finance
- CFRM 415: (3) Introduction to Financial Markets
- CFRM 420: (3) Introduction to Computational Finance and Financial Econometrics
- CFRM 425: (3) R Programming for Quantitative Finance
- ECON 301: (5) Intermediate Macroeconomics
- ECON 400: (5) Advanced Topics in Microeconomic Theory
- ECON 401: (5) Advanced Topics in Macroeconomic Theory
- ECON 404: (5) Industrial Organization and Price Analysis
- ECON 410: (5) Economics of Networks
- ECON 421: (5) Money, Credit, and the Economy
- ECON 422: (5) Investment, Capital, and Finance
- ECON 424: (5) Computational Finance and Financial Econometrics
- ECON 426: (5) Advanced Financial Economics
- ECON 432: (5) Empirical Industrial Organization
- ECON 472: (5) International Macroeconomics
- ECON 481: (5) Data Science Computing for Economics
- ECON 482: (5) Econometric Theory
- ECON 483: (5) Applied Econometric Modeling
- ECON 484: (5) Econometrics and Data Science
- ECON 485: (5) Economic Game Theory
- ECON 486: (5) Economics of Information
- ECON 487: (5) Data Science for Strategic Pricing
- ECON 488: (5) Causal Inference
- MATH/STAT 396: (3) Finite Markov Chains and Monte-Carlo Methods
- MATH 424: (3) Fundamental Concepts of Analysis
- MATH 425: (3) Fundamental Concepts of Analysis
- MATH 426: (3) Fundamental Concepts of Analysis
Courses with ** would indicate demonstrated interest in this degree option, if taken prior to applying to the ACMS program.