4 Years On Campus Bachelors Program
MIT’s Course 6-14 is an interdisciplinary program that combines the analytical rigor of computer science and data science with the empirical foundations of economics. This unique blend prepares students to tackle complex real-world problems using computational tools and economic reasoning.
Core Curriculum Components
Mathematics
18.06: Linear Algebra
6.1200[J]: Mathematics for Computer Science
Computer Science
6.100A: Introduction to Computer Science Programming in Python
6.1010: Fundamentals of Programming
6.1210: Introduction to Algorithms
6.1220[J]: Design and Analysis of Algorithms
Economics
14.01: Principles of Microeconomics
14.32: Econometric Data Science
Probability and Statistics
Options include:
6.3700: Introduction to Probability
14.30: Introduction to Statistical Methods in Economics
18.600: Probability and Random Variables
Data Science
6.3900: Introduction to Machine Learning
Communication-Intensive Subjects (CI-M)
6.UAT: Oral Communication
14.05: Intermediate Macroeconomics
14.18: Mathematical Economic Modeling
14.33: Research and Communication in Economics
MIT emphasizes hands-on learning, ensuring that students not only grasp theoretical concepts but also apply them in real-world contexts.
Undergraduate Research Opportunities Program (UROP)
Engage in cutting-edge research projects across various labs, allowing students to contribute to ongoing scientific inquiries.
MIT International Science and Technology Initiatives (MISTI)
Gain global experience through internships and research abroad, applying skills in diverse cultural and professional settings.
Entrepreneurship & Innovation Programs
Participate in initiatives like the MIT Sandbox Innovation Fund and the Martin Trust Center for MIT Entrepreneurship to develop and launch startups.
Public Service Center (PSC) Fellowships
Apply technical skills to address societal challenges through community service projects and fellowships.
Capstone Projects
Undertake comprehensive projects that synthesize learning across disciplines, often in collaboration with industry partners or research labs.
Explore more opportunities through the MIT (ELO) platform.
Graduates of Course 6-14 are uniquely positioned at the intersection of computer science, economics, and data science, opening doors to diverse career paths:
Technology & Data Science
Data Scientist
Machine Learning Engineer
Software Developer
Product Manager
Finance & Consulting
Quantitative Analyst
Financial Engineer
Management Consultant
Economic Analyst
Public Policy & Research
Policy Advisor
Research Scientist
Academic Researcher
Think Tank Analyst
Entrepreneurship
Startup Founder
Innovation Strategist
Tech Entrepreneur
Students with a strong academic record can opt for the integrated MEng program, extending their studies by a year to gain deeper expertise:
Advanced Coursework
At least 42 units of graduate subjects, including concentrations in economics and computer science.
Thesis Research
A substantial research project culminating in a thesis, allowing students to contribute original findings to the field.
Professional Perspective Internship
A component designed to provide industry exposure and practical experience.
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