Building Networks of Data Science Talent: MIT’s IDSS and BREIT Forge Global Partnerships

In an era dominated by artificial intelligence, the fundamental importance of mathematical skills is more critical than ever. MIT Professor Devavrat Shah argues that a strong foundation in mathematics is essential for effectively utilizing AI tools, from selecting the right tool to accurately interpreting results. As large language models and generative AI continue to transform industries, Shah emphasizes the need for individuals who understand the underlying concepts of AI to truly harness its potential.

Shah is a professor at MIT’s Institute for Data, Systems, and Society (IDSS), which addresses the global demand for data skills through offerings like the MicroMasters Program in Statistics and Data Science, which he directs. This program has provided thousands of learners worldwide with a rigorous understanding of statistics fundamentals. The MicroMasters program is also the basis for IDSS education partnerships, where MIT collaborates with organizations to support learners through the curriculum.

One key partnership is with the Brescia Institute of Technology (BREIT) in Peru. “Together with our first strategic partner in education, IDSS is providing graduate-level data science education through the Brescia Institute of Technology (BREIT) in Peru,” explains Fotini Christia, the Ford International Professor of the Social Sciences at MIT and director of IDSS. “Through this partnership, IDSS is training data scientists who are informing decision-making in Peruvian industry, society, and policy.”

BREIT’s Advanced Program in Data Science and Global Skills, developed with IDSS, trains individuals in both technical and non-technical skills. Participants complete the MicroMasters in Statistics and Data Science (SDS), learning the foundations of statistics, probability, data analysis, and machine learning. They also develop career skills such as communication, critical thinking, team-building, and ethics.

Renato Castro, a BREIT learner, joined the program to be at the forefront of AI and data science. He now develops data projects for groups in Peru, Panama, and Guatemala. “The program teaches more than the mathematics. It’s a systematic way of thinking that helps you have an impact on real-world problems and create wealth not only for a company, but wealth for the people.”

Lucia Haro, manager of BREIT, emphasizes that the program aims to develop problem-solvers and leaders in a growing field. “We are training the next generation to contribute to the economic development of our country and to have a positive social impact in Peru.”

IDSS provides tailored support to BREIT learners, with MIT graduate student teaching assistants leading regular sessions. Jesús Figueroa, a program graduate and current teaching assistant, highlights the importance of communicating theoretical knowledge effectively. Eight cohorts have completed the program, with three more in progress, totaling almost 100 MicroMasters credential holders and 90 more in the pipeline.

The IDSS team has adapted to meet BREIT’s evolving needs, such as developing a technical assessment to support learner recruitment. This assessment gauges applicants’ familiarity with calculus, linear algebra, and Python programming. Feedback from MIT teaching assistants on data projects ensures the best outcomes for learners and project sponsors.

To accelerate data skills development, BREIT’s program offers hands-on opportunities to apply skills to data projects, often in collaboration with local NGOs. Diego Trujillo Chappa, a BREIT learner, developed an improved model for an NGO to identify potential graduate study applicants. Yajaira Huerta worked with an organization building homes for the homeless, creating a clustering model to identify areas of highest need during the Covid-19 pandemic.

As part of the global IDSS community, MicroMasters Program credential holders have access to IDSS workshops and conferences. BREIT learners have opportunities to interact with MIT faculty and learn about ongoing research. During a recent visit to MIT, BREIT learners received completion certificates, toured the campus, and previewed a new sports analytics course.

Fotini Christia notes that this partnership serves as a model for developing similar networks of data science talent globally. The program fosters networks and pipelines of data science talent across the globe.