

The four-year Mathematical Economics program provides a comprehensive foundation in economics with a strong emphasis on quantitative methods, mathematical modeling, and statistical analysis. Students explore microeconomics, macroeconomics, econometrics, and applied mathematics, learning to interpret and analyze complex economic problems. The curriculum combines theoretical knowledge with practical applications, allowing learners to solve real-world economic issues using mathematical and computational tools. Through seminars, projects, and research assignments, students gain a deep understanding of the analytical techniques and economic reasoning essential for modern finance, policy, and business decision-making.
Over the course of the program, students engage in mathematical modeling, data analysis, and applied research that address contemporary economic challenges. Emphasis is placed on problem-solving, statistical interpretation, and rigorous quantitative analysis, preparing graduates for careers in finance, consulting, economic research, and policy advisory. By integrating theoretical understanding with practical quantitative skills, learners acquire the knowledge and experience necessary to pursue careers in economics, finance, data analytics, policy, or advanced academic studies.
Year 1 – Foundations in Mathematical Economics
• Introduction to Microeconomics
• Introduction to Macroeconomics
• Calculus and Linear Algebra
• Academic Writing and Research Methods
Year 2 – Intermediate Economic and Quantitative Analysis
• Econometrics I & II
• Intermediate Microeconomics
• Intermediate Macroeconomics
• Elective Modules in Economics
Year 3 – Advanced Topics & Applied Research
• Game Theory and Strategic Behavior
• Mathematical Modeling in Economics
• Financial and Economic Analytics
• Research Projects and Seminars
Year 4 – Capstone & Thesis
• Independent Research / Thesis
• Seminar on Applied Mathematical Economics
• Presentation and Portfolio Development
• Advanced Elective Modules
Graduates of this program are prepared for careers in economic research, finance, consulting, data analysis, policy advisory, and quantitative modeling. The program equips students with advanced analytical, mathematical, and research skills, enabling them to work effectively in academic, professional, and corporate environments. Opportunities for internships, applied research, and quantitative projects provide practical experience and insight, enhancing employability and professional readiness. Many graduates also pursue advanced degrees in economics, finance, or applied mathematics to deepen expertise and expand career opportunities.
This program offers a comprehensive interdisciplinary approach, integrating mathematics, statistics, and economics to equip students with skills necessary for modern analytical and economic challenges. Students develop quantitative, analytical, and problem-solving skills through applied projects, statistical modeling, and independent research. The curriculum emphasizes both theoretical knowledge and practical application, ensuring graduates leave with both knowledge and experience necessary to pursue diverse careers or advanced academic studies in economics, finance, analytics, or research-intensive roles.
For further information, please contact the admissions office at:
Phone: +1 617-253-1000
Email: admissions@mit.edu
Address: University of MIT, 77 Massachusetts Avenue, Cambridge, MA 02139, USA