Program profile · official sources
Applied AI and Data Science Program
MIT Professional Education's Applied AI and Data Science Program, formerly the Applied Data Science Program, is a live online program with curriculum developed and taught by MIT faculty and delivered with Great Learning. The page lists 15 weeks as the course length and, in its curriculum, 14 weeks: foundations, core weeks on machine learning, deep learning, recommendation systems and generative AI including RAG and agentic AI, a project week and a 3-week capstone. Mentors run small-group sessions. Prerequisites are basic programming and statistics. Completion earns a certificate of completion; 16 CEUs are listed. As shown in the United States on 5 October 2026, the course fee is USD 3,900 for the session dated Nov 21, 2026 to Mar 28, 2027.
Facts checked 5 Oct 2026
- Price
- USD 3900
- As shown in the United States on 5 October 2026, the official course page displays a Course Fee of $3,900 for the live online session dated Nov 21, 2026 to Mar 28, 2027. Taxes are not stated.
- Provider link
See price and enroll at MIT Professional Education (official site) ↗
Official site. No commission.
- Time
- The page lists both: Course Length "15 Weeks" (session Nov 21, 2026 - Mar 28, 2027) and, in its curriculum section, "The program is 14 weeks long"; pre-work adds 11 hours of video content
- Level
- Not listed
- Credential
- Certificate of completion
Not stated on the captured page.
- Prerequisites
- Prerequisites: basic knowledge of computer programming and statistics (provider wording). Pre-work covers Python and statistics.
- Format
- Live online program with MIT faculty lectures, mentored small-group sessions, hands-on projects and a capstone; delivered in collaboration with Great Learning
Commercial status: no commercial relationship is documented for this page. The verification link goes directly to the official provider source.
Sources ↗
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See the full registry price landscape. Prices retain their stated payment scope; they are not comparable completion costs.
What’s covered
- Week 1&2 - Foundations of AI
- Week 3 - Data Analysis & Visualization
- Week 4 - Machine Learning
- Week 5 - Revision Break
- Week 6 Practical Data Science
- Week 6 - Learning Break
- Week 7 - Deep learning
- Week 8 - Recommendation Systems
- Week 9 - Project Week
- Week 10- Generative AI Foundations
- Week 11 - Business Applications of Generative AI
- Week 12 - 14 - Capstone Project
Prerequisites: Prerequisites: basic knowledge of computer programming and statistics (provider wording). Pre-work covers Python and statistics.
What you actually do
- Week 1&2 - Foundations of AI : Program week (provider curriculum, titles as displayed) · Source
- Week 3 - Data Analysis & Visualization : Program week (provider curriculum, titles as displayed) · Source
- Week 4 - Machine Learning : Program week (provider curriculum, titles as displayed) · Source
- Week 5 - Revision Break : Program week (provider curriculum, titles as displayed) · Source
- Week 6 Practical Data Science : Program week (provider curriculum, titles as displayed) · Source
- Week 6 - Learning Break : Program week (provider curriculum, titles as displayed) · Source
- Week 7 - Deep learning : Program week (provider curriculum, titles as displayed) · Source
- Week 8 - Recommendation Systems : Program week (provider curriculum, titles as displayed) · Source
- Week 9 - Project Week : Program week (provider curriculum, titles as displayed) · Source
- Week 10- Generative AI Foundations : Program week (provider curriculum, titles as displayed) · Source
- Week 11 - Business Applications of Generative AI : Program week (provider curriculum, titles as displayed) · Source
- Week 12 - 14 - Capstone Project : Program week (provider curriculum, titles as displayed) · Source
What the credential is
- Credential type
- Certificate of completion · professional.mit.edu / applied-ai-and-data-science-program
- Credential
- Certificate of Completion from MIT Professional Education · professional.mit.edu / applied-ai-and-data-science-program
- Issuer
- MIT Professional Education · professional.mit.edu / applied-ai-and-data-science-program
- Sharing
- Not stated on the captured page. · professional.mit.edu / applied-ai-and-data-science-program
- Exam requirement
- Successful fulfillment of requirements earns the certificate of completion; the page mentions weekly quizzes and projects in testimonials but states no separate exam. · professional.mit.edu / applied-ai-and-data-science-program
Total cost to finish
Estimate for the stated payment scope: USD 3900 × 1 = USD 3900.
- Course fee (one live online session): USD 3900 × 1 = USD 3900. One enrollment in the listed session as displayed on the official page. · Source
Scope: Displayed course fee only; taxes, refunds and payment plans are not stated on the captured page. · Source
Alternatives in the registry
Related by topic or level.
- No Code and Agentic AI : USD 2850 (As shown in the United States on 4 October 2026, the official course page displays a Course Fee of $2,850 for the online session dated Oct 10, 2026 to Feb 14, 2027. Great Learning manages enrollments, including all payment services and invoicing. Taxes are not stated.); 14 weeks (Oct 10, 2026 - Feb 14, 2027 session listed).
- Designing and Building AI Products and Services : Check official price; 10 weeks, online + live online, 6 hours per week (provider-listed).
- TensorFlow: Advanced Techniques Specialization : Check official price; 2 months to complete at 10 hours a week. FAQ notes 3-4 weeks to complete each course at 5 hours a week..
Change log
- : Initial record from the official course page captured from the United States on 5 October 2026. · Source
See price and enroll at MIT Professional Education (official site) ↗
Official site. No commission.