Massachusetts Institute of Technology

How this program compares

Benchmark this program against our national recognition pages and use the key guides below to evaluate ROI, admissions difficulty, and outcomes.

Admission Snapshot

Typical admitted student: High school diploma or equivalent with strong performance in math and science courses is required, along with competitive GPA and SAT/ACT scores (optional at many institutions).

About This Program

This interdisciplinary undergraduate program focuses on the analysis and synthesis of systems that perceive, learn, and act in changing environments.

Career Outcomes

Prepare Machine Learning Engineer career in Cross-Industry AI with analysis focus

• 1. Machine Learning Engineer
• 2. AI Research Scientist
• 3. Data Scientist
• 4. AI Systems Architect

What You'll Learn

• Develop and deploy machine learning models for predictive analytics and automation.
• Apply decision-making algorithms to optimize complex systems under uncertainty.
• Design ethical AI systems addressing bias, fairness, and societal impact.
• Build intelligent agents using reinforcement learning and probabilistic reasoning.

Curriculum Highlights

The curriculum combines computer science and electrical engineering, featuring core modules in AI foundations, embodied intelligence, and decision-making.

Top Employers

Top employers include Google, Microsoft, Amazon, and research institutions like MIT Lincoln Lab.

Admissions

High school diploma or equivalent with strong performance in math and science courses is required, along with competitive GPA and SAT/ACT scores (optional at many institutions).

Application Materials

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

Academic Requirements

• Degree Required: High School Diploma
• GRE/GMAT: Not Required
• TOEFL/IELTS: Required for international students (TOEFL 80+ / IELTS 6.5+)