Artificial Intelligence

AI in Supply Chain and Logistics Management: MIT CTL Summer School

Beer game  Thomas Koch  Elenna Dugundji  warehouse

 

 

 

 

 

 

 

🚀 Unlock the Power of AI in Supply Chain and Logistics Management!

This immersive summer program is your gateway to the cutting edge of Artificial Intelligence in supply chain and logistics management.

Designed for advanced undergraduates, recent graduates, postgraduate and graduate students, this data science course combines machine learning and deep learning with real-world applications in supply chains. Utilizing Python and industry-standard AI tools, you'll gain hands-on experience us while exploring topics like:

  • Data handling and visualization
  • Predictive modeling for regression and classification
  • Problem solving with end-to-end pipelines
  • Time series forecasting
  • Neural networks and computer vision
  • Deep reinforcement learning
  • Transformers, generative models and Agentic AI

In a cohort of international peers with renowned MIT faculty and researchers, you will tackle real world challenges through AI data-driven solutions – THAT YOU DEVELOP!

Questions? Email us at ctl_summerschool@mit.edu.

Enrollment is limited -- click to apply.

*Merit-based scholarships will be offered for students at colleges and universities in Massachusetts. Please contact us for details: ctl_summerschool@mit.edu.

Bulk pricing will be offered for MIT CTL Supply Chain Exchange Partners who send two (2) or participants to the summer school. Please apply using your company email address.

亚洲地区的报名及咨询,请联系麻省理工全球供应链网络中国中心同事获取协助。
Conan WU (dpconan@mit.edu);Senhao LEI (shlei@mit.edu)

SCALE Expo 2025

CTL@50 Presents: 15th Annual MIT Global Supply Chain Excellence Network Student Expo

Our annual SCALE student Expo previews nearly 100 industry-sponsored research projects conducted by supply chain students at MIT CTL and the international centers in the global Supply Chain and Logistics Excellence (SCALE) network. The Expo showcases this research-in-progress on a broad range of future-forward topics and provides an exclusive glimpse at what the final findings will reveal in May.