MA

Bachelor's in AI
On-Campus

Massachusetts Institute of Technology

BS in Artificial Intelligence and Decision Making

  • Cambridge
About This Program

This program explores the foundations of machine learning and decision systems to develop techniques for systems that interact with the world.

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What You'll Learn

Learners develop skills needed to understand data, model real-world phenomena, and build technology that addresses complex social and engineering challenges.

For detailed, official program information including specific curriculum, faculty, research opportunities, and application requirements:
Visit Official Program Website
Typical Curriculum Structure
The interdisciplinary course of study covers AI theory, statistical learning, deep learning, reinforcement learning, and diverse hardware implementations.
Typical Course Topics
1. Introduction to Machine Learning 2. Deep Learning and Neural Networks 3. Optimization and Decision Theory 4. Natural Language Processing 5. Reinforcement Learning 6. AI Ethics and Human-AI Interaction
Program Specializations:
View the exact, up-to-date curriculum on the official program website
Typical Admissions Requirements
High school diploma or equivalent with strong performance in math and science (calculus, physics recommended); competitive GPA (typically 3.9+ unweighted) and SAT/ACT scores (optional but advantageous for top applicants).
Academic Requirements (Typical)

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 90+ / IELTS 7.0+)

Application Materials (Typical)

• Statement of Purpose: Required
• Letters of Recommendation: 2–3
• Resume: Optional
• Transcripts: Official transcripts required

Application Timeline

Most programs have rolling admissions or deadlines in early winter for fall admission. Check the official program website for exact dates.

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Career Opportunities in AI

Launch Operations Research Analyst career in Cross-Industry AI with ai theory focus

Estimated Industry Salary
AI/ML Engineer: $120,000
Total compensation (entry to mid-level)
AI Job Growth
23.0%
Projected 2024-2034 (BLS)
Common Career Paths:
1. Machine Learning Engineer 2. AI Research Scientist 3. Data Scientist 4. AI Product Manager
Top AI Employers (Industry-Wide):
Top employers include Google, Microsoft, Amazon, OpenAI, and government research labs like DARPA.
Explore AI Career Paths
Program Details
Duration
  • 4 Year
Tuition
  • 64,310
Format
On-Campus
Specializations
Official Resources
Program Website
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