Massachusetts Institute of Technology

How this program compares

Massachusetts Institute of Technology's BS in Artificial Intelligence and Decision Making lists about $64.3K total tuition — roughly 28% below the $89.8K AI bachelor's average (55th percentile in our data). It runs on a full-time schedule (on-campus).

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. Coursework concentrates on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI. Most students complete it in about 4 years.

Budget planners should note $64.3K estimated total tuition (55th percentile among AI bachelor's programs, below the $89.8K average). That puts it in the mid-range on price among comparable programs.

It is one of 27 AI-related programs we track in Massachusetts, of which about 56% offer an online option. On price, it comes in higher than about 65% of the Massachusetts programs in our data, where typical tuition runs near $58.9K.

Graduates frequently move into roles such as Machine Learning Engineer, with reported salaries around $120,000.

Develop and deploy machine learning models for predictive analytics and automation.

Career Outcomes

The BS in Artificial Intelligence and Decision Making at Massachusetts Institute of Technology (Cambridge, Massachusetts) is oriented toward Machine Learning Engineer hiring, with alumni reporting pay near $120,000. Its focus on Artificial Intelligence & Machine Learning and AI Engineering / Applied AI maps directly to how employers screen for specialized skills rather than generic degrees. Federal projections for this occupational area point to roughly 23% growth this decade — verify the current figure on the BLS Occupational Outlook Handbook before you rely on it.

• 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

Admission to Massachusetts Institute of Technology's BS in Artificial Intelligence and Decision Making generally expects a high school diploma. The GRE is not required here — a growing norm among AI programs — so applicants can often lead with coursework, projects and recommendations instead. Deadlines, testing policies and funding change year to year, so confirm the current requirements on the official program page before applying.

Application Materials

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

Frequently Asked Questions