Bachelor of Science in Mathematical Economics

4 Years On Campus Bachelors Program

Massachusetts Institute of Technology

Program Overview

MIT’s BS in Mathematical Economics (Course 14-2) is a highly quantitative, math-heavy economics degree. It’s designed for students who want a deep mastery of economic theory, advanced mathematics, and empirical methods. Perfect if you aim for elite grad schools or high-tier analytical careers in finance, research, or policy.


Curriculum Structure

Year 1: Foundations in Economics & Mathematics

  • Core economics: 14.01 Microeconomics, 14.02 Macroeconomics

  • Math foundation: 18.01 Real Analysis + either 18.03 Differential Equations or 18.06 Linear Algebra

  • Sets the essential analytic framework

Year 2: Statistics & Theory Deep Dive

  • Empirical methods: 14.30 Intro to Statistical Methods in Economics, 14.32 Econometric Data Science

  • Theory electives: e.g., 14.12 Game Theory or 14.04 Intermediate Microeconomics

Year 3: Advanced Math & Communication

  • Advanced math: 18.100x Real Analysis + seminar course like 18.104 Seminar in Analysis

  • Communication-intensive econ electives: 14.05 Intermediate Macroeconomics (CI-M), 14.18 Mathematical Economic Modeling, or 14.33 Research & Communication

Year 4: Electives & Integration

  • Three electives including at least one math and one economics course

  • Examples: 14.19 Market Design, 14.36 Advanced Econometrics, 18.784 Seminar in Number Theory


Focus Areas

  • Microeconomic Theory
  • Econometrics & Data Science
  • Mathematical Modeling
  • Game Theory
  • Real Analysis & Differential Equations

Learning Outcomes

  • Mastery of rigorous economic theory
  • Advanced math methods
  • Strong empirical data analysis skills
  • Effective communication of complex economic ideas

Accreditation & Reputation

  • Official MIT SB degree, accredited through MIT’s School of Humanities, Arts & Social Sciences
  • MIT Economics ranked globally #1 for doctoral output and quantitative economic research excellence

Experiential Learning (Research, Projects, Internships etc.)

  • Undergraduate Research Opportunities Program (UROP): Collaborate on faculty research projects.

  • Project Labs: Hands-on applied economics problem-solving.

  • Thesis Option (14.THU): Optional independent research thesis.

  • Summer Internships: In government, industry, or research organisations.

Facilities: Morris and Sophie Chang Building, specialized research centers, extensive libraries, and computing labs.

Progression & Future Opportunities

Career & Progression

Job Roles:

  • Quantitative Analyst (quant)
  • Data Scientist
  • Financial Analyst
  • Economic Consultant

Career Support:

  • Project labs, UROP, thesis and internship experiences build strong portfolios.
  • Undergraduate Economics Association (UEA) for peer networking and career prep.

Employment Outlook:

  • Quants make median salaries ~ $253,000/year in the U.S. (2024 data).
  • Graduates are highly sought by top finance, tech, consulting firms.

Industry Connections:

  • Faculty research influences industry, strengthening student opportunities.


Graduate School & Long-Term Prospects

  • Many pursue Master’s or PhD programs in Economics, Financial Engineering, and Data Science at top schools like MIT, Stanford, and Princeton.

  • Others enter MBA programs or specialised graduate degrees (Public Policy, Actuarial Science).

  • Fifty per cent of math and economics graduates enter full-time roles immediately, primarily in finance, consulting, and technology.

Program Key Stats

$61,990
$ 75
Sept Intake : RD 6th Jan EA/ED 1st Nov


8 %
No
Yes

Eligibility Criteria

AAA - A*A*A
3.5 - 4.0
38 - 42
90 - 95

1510 - 1580
34 - 36
7.5
100

Additional Information & Requirements

Career Options

  •  Quantitative Economist: Use advanced mathematical models and data analysis to study economic trends
  • forecast markets
  • and advise policy makers or financial institutions
  • Financial Engineer / Quantitative Analyst: Develop and implement complex financial models for pricing
  • risk management
  • and trading strategies at investment banks
  • hedge funds
  • or asset management firms
  • Data Scientist / Data Analyst: Apply statistical methods
  • machine learning
  • and programming (Python
  • R
  • SQL) to extract insights from large economic and financial datasets for business or policy decisions
  • Econometrician: Design and execute empirical economic research using econometric techniques to analyze relationships between economic variables and guide decision-making
  • Actuary: Use probability
  • statistics
  • and economics to evaluate financial risks for insurance companies
  • pension plans
  • and other financial institutions
  • Operations Research Analyst: Optimize business processes
  • supply chains
  • and resource allocation by applying mathematical modeling and algorithmic techniques
  • Management Consultant: Provide data-driven strategic advice to organizations on efficiency
  • market entry
  • and operational improvements using quantitative tools
  • Financial Analyst: Analyze company financial data
  • markets
  • and investment opportunities with strong quantitative rigor to inform portfolio management and corporate finance decisions
  • Policy Analyst: Utilize mathematical and statistical skills to evaluate economic policies and their impacts in government agencies
  • think tanks
  • or NGOs
  • Academic / Economic Researcher: Pursue research roles or graduate studies focusing on economic theory
  • applied mathematics
  • or econometrics
  • Software Developer for Finance / Economics: Design and build computational tools and software solutions used in quantitative finance and economic modeling
  • Entrepreneur / Tech Startup Founder: Innovate in fintech
  • analytics
  • or data-driven sectors leveraging expertise in mathematical modeling and economics

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