MIT Applied AI and Data Science Program

MIT Applied AI and Data Science Program

The MIT Applied AI and Data Science Program is a 14-week live online professional-education program offered by MIT Professional Education with Great Learning, covering Python, statistics, machine learning, deep learning, recommendation systems, computer vision, Generative AI, RAG, Agentic AI, and a final capstone [src-060].

Key points

  • The brochure describes the program as an upgraded version of the earlier Applied Data Science Program, with 8,000+ alumni, 70+ batches, a 4.4/5 program rating, 98% satisfaction, and 92% completion rate for the prior program [src-060].
  • The 14-week structure includes 2 weeks of Python/statistics foundations, 8 weeks of core curriculum and practical applications, 1 week for project submissions, 3 weeks for a capstone, and self-paced ethical/responsible AI [src-060].
  • The curriculum spans Python, NumPy, Pandas, Seaborn, Matplotlib, Plotly, inferential statistics, clustering, PCA/t-SNE, regression, causal inference, cross-validation, decision trees, random forests, deep learning, CNNs, transfer learning, recommendation systems, prompt engineering, RAG, and Agentic AI [src-060].
  • The program uses a low-code/applied framing rather than a pure engineering bootcamp, emphasizing case studies, business applications, and decision-making for working professionals [src-060].
  • Case studies and capstones include brain-tumor image classification, hotel cancellation prediction, stock portfolio optimization, movie/music recommendation, marketing segmentation, used-car price prediction, loan default prediction, malaria detection, facial emotion detection, and GenAI-powered customer-review categorization [src-060].
  • Completion requires at least 60% in each course, including the elective and capstone, and awards a Certificate of Completion plus 16.0 CEUs [src-060].

Related entities

Related concepts

Source references

  • [src-060] MIT Professional Education / Great Learning — “MIT Applied AI and Data Science Program Brochure” (2025-12)