The growing use of big data and analytics is creating opportunities for strategic business change and innovation and also strong demand for the skills and experience necessary to thrive in the digital economy.
In Analytics Lab (A-Lab), student teams select and deliver a project using analytics, machine learning, and other methods of analysis to develop results that diagnose, enable, or uncover solutions to real business issues and opportunities.
Each project presents unique and specific challenges and includes access to a full dataset. Projects fit in a variety of industries and sectors and address a diversity of advanced problem types. In the first four years of the course, project sponsors included Amazon, Boston Public Schools, Dell Services, eBay, Gates Foundation, GE Transportation, IBM Watson, LinkedIn, MasterCard, Nasdaq, and others.
A-Lab is open by application only (accessible on the course website) to students with relevant coursework or experience in analytics, statistics, computer science, management, and economics. Priority application period now through May 15, 12:00pm; after May 15, applications will be considered on a rolling basis, as space allows. Teams are matched to projects in September and final presentations occur in December. Mentors are assigned to each team.
Class rosters from previous years have been comprised of students from a variety of programs including MBA, EMBA, Sloan Fellows, MFin, SDM, IDM, LGO, ORC, MSMS, EECS, and Urban Studies. Analytics Lab is also a required course for all students in the MBAn program.
The course is presented by the MIT Initiative on the Digital Economy and led by Sinan Aral.