Program Overview

Academics

The MIT Institute for Data, Systems, and Society (IDSS) offers a range of academic programs, including:

• PhD Program in Social & Engineering Systems
  • SES Admissions
  • SES Program and Resources
  • SES Funding
    • Michael Hammer Fellowship
    • SES MicroMasters Teaching Assistants
  • SES + Statistics
  • SES Graduates
  • SES News
• Technology and Policy Program
• Interdisciplinary Doctoral Program in Statistics
• Minor in Statistics and Data Science
• IDSSx: Data Science Online
  • Data Science and Machine Learning: Making Data-Driven Decisions
  • Online Programs and Short Courses
• MicroMasters Program in Statistics and Data Science (SDS)
• IDSS Classes
• IDSS Student Council

Data Science and Machine Learning: Making Data-Driven Decisions

Program Overview

This 12-week online program is designed for professionals to advance their data science skills and solve business problems. The program features:

• Learn from renowned MIT faculty
• Personalized mentorship and support from industry experts
• Practical, hands-on training with industry-relevant projects and case studies

Curriculum

The program's curriculum is carefully crafted by MIT faculty to provide skills and knowledge in AI algorithms and data science techniques. The program covers:

• Machine learning
• Deep learning
• Network analytics
• Recommendation systems
• Computer vision
• Time series
• Generative AI

Program Faculty

The program is led by a team of distinguished faculty members, including:

• Munther Dahleh, Program Faculty Director, MIT Institute for Data, Systems, and Society (IDSS)
• John N. Tsitsiklis, Professor, Electrical Engineering & Computer Science
• Ankur Moitra, Norbert Wiener Professor, Mathematics
• Caroline Uhler, Professor, Electrical Engineering & Computer Science
• David Gamarnik, Professor, Sloan School of Management
• Devavrat Shah, Professor, Electrical Engineering & Computer Science
• Guy Bresler, Associate Professor, Electrical Engineering & Computer Science
• Jonathan Kelner, Professor, Mathematics, MIT
• Kalyan Veeramachaneni, Principal Research Scientist, Laboratory for Information and Decision Systems
• Philippe Rigollet, Professor, Mathematics
• Stefanie Jegelka, Associate Professor, Electrical Engineering & Computer Science
• Tamara Broderick, Associate Professor, Electrical Engineering & Computer Science
• Victor Chernozhukov, Professor, Economics

Program Details

• Course duration: 12 weeks
• Time commitment: 8-12 hours per week
• Cost: $2,500 (USD)
• Achievements: Certificate of Completion, 8 Continuing Education Units (CEUs)