Action Learning


In Analytics Lab (A-Lab), student teams select and deliver a project using analytics, machine learning, or other digital technologies to solve business problems.

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Analytics Lab

A-Lab team presentation

Big data and analytics are key to the modern digital economy. There is a high demand for those who can use data to innovate and create opportunities in the business world. A-Lab students dive into machine learning and other forms of analysis, working together in teams with a full dataset to diagnose issues in a business and uncover possibilities for the future. Serving a wide variety of industries, some of the project sponsors we have worked with in A-Lab’s first four years include: 

  • Amazon
  • Boston Public Schools
  • Dell Services
  • eBay
  • Gates Foundation
  • GE Transportation
  • IBM Watson
  • LinkedIn
  • MasterCard
  • Nasdaq

Application Process

Students with a background in analytics, statistics, computer science, management, and economics may apply on the A-Lab website.

A-Lab is offered in the fall semester, and the priority application period begins in early May 2019. 

After the initial deadline, applications are considered on a rolling basis and as space allows. 

Students come from a wide variety of programs, including

  • MBA
  • EMBA
  • Sloan Fellows
  • MFin
  • SDM
  • IDM
  • LGO
  • ORC
  • MSMS
  • EECS
  • Urban Studies
  • Required for MBAn

Sinan Aral on Analytics Lab

Class Timeline

  • Early September

    Student teams formed. 

  • Early September

    Mentors assigned to each team. 

  • September

    Teams matched up to projects.

  • December

    Final presentations. 



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A-Lab Projects

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