The B.S. in mathematical economics is a joint program between the Mathematics and Economics departments. This degree is designed for students who are planning careers involving analytical problem-solving in industry, laboratories or academia and is recommended for any student considering graduate school in mathematical science or economics.
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MATH 4377
Basics of machine learning methods, emphasizing those for regression, classification and data analysis. Linear models of regression and classification, basis expansion, regularization, support vector machines, deep neural networks, stochastic gradient descent and more.
ECO 4381
Advanced analysis of models of the firm under purely competitive markets and monopolistic competition and models of consumer behavior
ECO 4382
Advanced analysis of models of the firm under purely competitive markets and monopolistic competition and models of consumer behavior.
Get practical experience to develop industry skills and build a professional network.
Expand your personal and academic experiences by studying in another part of the world. Take the opportunity to immerse yourself in different cultures and gain global perspectives.
Explore interests, develop leadership skills and connect with like-minded peers.
Apply your classroom knowledge to real-world issues while making a positive impact.
The Dedman College faculty consists of accomplished experts across the field of economics and mathematics with a primary focus on providing an exceptional education. Collectively, they represent many areas of expertise and are widely published in top academic journals and articles and collaborating with other scientists on a national and international scale.
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One of the two original buildings from 1915, Clements Hall now houses many Dedman College departments, including Mathematics.
A majestic, 110-year-old facility used by Dedman College as both academic and office space.
Built in 1955 and named in honor of SMU’s fourth president and then chancellor, the Umphrey Lee Center currently houses the Economics Department and the Richard B. Johnson Center for Economic Studies.
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Mathematical economics is the application of advanced mathematical and statistical models to economic issues, where students use rigorous theoretical models and statistical analysis to evaluate and inform individual and business decisions as well as government policies.
Yes. The median annual wage for economists was $115,440 in May 2024. According to the Bureau of Labor Statistics, demand for mathematical economists will stem from organizations that need to apply analysis of big data to pricing, advertising and other areas. The increasing complexity of the global economy is also expected to support demand for economists.
This degree is designed for students who are planning careers involving analytical problem-solving in industry, laboratories or academia, and is recommended for any student considering graduate school in mathematical science or economics.
Students will need high school-level algebra and trigonometry. At the beginning of the program, they start with the basic calculus sequence.
Yes. Mathematical economics is an excellent foundation for a data science or analytics career. A degree from SMU provides the necessary theoretical, statistical and algorithmic understanding to build robust data science models. The curriculum is designed for students who want to master machine learning, linear algebra and calculus, and they should reinforce it with courses to further their technical skills in programming.
Programs could include R, Python, SQL and STATA.
An economics degree offers training across a wider set of economics topics, providing a firm basis for graduate study in business, economics or law. It requires 12 credit hours of economics and nine credit hours of mathematics and statistics.
Conversely, a B.S. in mathematical economics emphasizes advanced mathematical analysis for those who may pursue a Ph.D. degree in economics or desire a highly quantitative job in industry. The degree requires equal credit hours for both economics and mathematics.
