4 Years On Campus Bachelors Program
MIT’s Bachelor of Science in Artificial Intelligence and Decision Making (Course 6-4) integrates computer science, artificial intelligence, and decision science into a cohesive curriculum. The program emphasizes the development of intelligent systems that can learn, reason, and make decisions autonomously, preparing students for roles in AI research, development, and application.
Core Curriculum Components
Mathematical & Theoretical Foundations
6.1200[J]: Mathematics for Computer Science
6.3700: Introduction to Probability
18.06: Linear Algebra
18.03: Differential Equations
Artificial Intelligence Core
6.3900 (Introduction to Machine Learning): Core principles of supervised and unsupervised learning.
6.036 (Introduction to Machine Learning): Fundamental algorithms in ML.
6.4010 (Artificial Intelligence): Foundations of AI methods and applications.
6.4210 (Robotics): Control, perception, and design of robotic systems.
Decision Making & Optimization
6.2550 (Optimization Methods): Optimization techniques in machine learning and decision systems.
6.2620 (Decision Analysis): Structuring and analyzing decisions under uncertainty.
6.3410 (Dynamic Systems & Control): Modeling and controlling dynamic systems.
Programming & Systems
6.100A (Introduction to Programming in Python)
6.1210 (Introduction to Algorithms)
6.1020 (Software Construction)
Restricted Electives
Students choose from advanced electives in:
Deep Learning
Computer Vision
Natural Language Processing
Reinforcement Learning
Computational Cognitive Science
Communication-Intensive Subject (CI-M)
Examples include:
6.UAT: Oral Communication in EECS
6.811: Principles and Practice of Assistive Technology (CI-M)
MIT’s AI & Decision Making program prioritizes experiential, hands-on learning that integrates theory with real-world applications:
Undergraduate Research Opportunities Program (UROP)
Students actively engage in AI research under MIT faculty mentorship, exploring areas such as deep learning, autonomous systems, AI ethics, and human-AI interaction. UROP fosters early research exposure and collaboration on groundbreaking AI projects.
Capstone & Project-Based Learning
The curriculum includes project-based courses and optional senior capstone projects where students design and implement AI solutions addressing complex, real-world challenges.
Interdisciplinary Collaboration
Students work across fields like biology, neuroscience, economics, and mechanical engineering—applying AI to diverse domains such as healthcare, climate modeling, and robotics.
Hackathons & Competitions
Students frequently participate in:
MIT AI & Robotics Hackathons
International Data Science Competitions
MIT AI Ethics Challenges
These foster creativity, teamwork, and rapid prototyping under real-world constraints.
Industry Internships & Partnerships
MIT’s extensive industry connections facilitate internships at top AI companies (e.g., Google DeepMind, OpenAI, Tesla AI), research labs, and startups, offering practical experience in deploying AI at scale.
Graduates of MIT’s Artificial Intelligence and Decision Making program emerge as versatile AI professionals and researchers, highly sought after in academia, industry, and government.
Career Prospects Include:
AI Research Scientist at leading labs (e.g., Google Brain, Meta AI, OpenAI).
Machine Learning Engineer at top tech firms and startups.
Robotics Engineer in autonomous vehicles or robotics companies.
Quantitative AI Specialist in fintech, hedge funds, and investment firms.
AI Consultant or Strategist guiding enterprise AI transformation.
AI Policy Advisor in think tanks or government roles.
Many graduates pursue advanced degrees (MS, PhD) in AI, computer science, robotics, data science, or computational neuroscience at elite global institutions.
Additionally, the program cultivates transferable skills—logical reasoning, ethical awareness, interdisciplinary problem-solving—preparing graduates to lead in emerging fields such as AI ethics, explainable AI, human-centered AI, and AI entrepreneurship.
Overall, MIT’s AI & Decision Making graduates are empowered to drive innovation at the forefront of AI, bridging technical expertise with impactful, ethical decision-making in a rapidly evolving technological world.
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