Building Networks of Data Science Talent: MIT’s Initiative

In an era dominated by artificial intelligence, the fundamental importance of mathematical skills remains paramount. MIT Professor Devavrat Shah from the Electrical Engineering and Computer Science (EECS) department emphasizes that a strong grasp of mathematics is crucial for effectively utilizing AI tools, selecting the right ones, and accurately interpreting results.

“As large language models and generative AI find applications across various sectors, these advanced tools will reshape industries and offer fresh perspectives on research and policy challenges,” Shah explains. “The world needs individuals who understand the core concepts of AI to fully harness its potential.”

Shah is affiliated with MIT’s Institute for Data, Systems, and Society (IDSS), which addresses the global demand for data skills through online programs like the MicroMasters Program in Statistics and Data Science, which he directs.

“With over a thousand credential holders worldwide and tens of thousands of engaged learners, the MicroMasters Program in Statistics and Data Science provides a rigorous yet flexible way for learners to develop an MIT-level understanding of statistics fundamentals,” Shah notes.

The MicroMasters program is also central to IDSS’s educational partnerships. An embedded MIT team collaborates with organizations to support learners through the curriculum. One such partnership is with the Brescia Institute of Technology (BREIT) in Peru.

“Together with BREIT, IDSS is delivering graduate-level data science education,” says Fotini Christia, Director of IDSS. “Through this partnership, we are training data scientists who are informing decision-making in Peruvian industry, society, and policy.”

Training the Next Generation

BREIT’s Advanced Program in Data Science and Global Skills, developed with IDSS, trains individuals in both technical and non-technical skills to leverage data insights. Participants complete the MicroMasters in Statistics and Data Science (SDS), covering 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 because he believed AI, machine learning, and data science were the future. He says, “The program teaches more than mathematics. It’s a systematic way of thinking that helps you impact real-world problems and create wealth for both companies and people.”

Lucia Haro, Manager of BREIT, adds, “We aim to develop problem-solvers and leaders who can contribute to economic development and have a positive social impact in Peru.”

IDSS supports BREIT learners with tailored assistance, including regular sessions led by MIT graduate student teaching assistants. These sessions provide hands-on practice, answer questions, and identify areas for additional resources.

Jesús Figueroa, a program graduate and local teaching assistant, emphasizes the importance of communicating theoretical knowledge effectively to support future learners.

Eight cohorts have completed the program, with three more in progress, totaling almost 100 MicroMasters credential holders and 90 more in the pipeline. As BREIT has scaled up, IDSS has adapted to meet evolving needs, such as collaborating on a technical assessment for learner recruitment. This assessment gauges applicants’ familiarity with calculus, linear algebra, and Python programming.

The program has evolved to include systematic feedback from MIT teaching assistants on data projects, ensuring optimal outcomes for learners and project sponsors. The MicroMasters program has also expanded to include a course in time series analysis and specialized program tracks.

“Partner input helps us understand the landscape,” says Susana Kevorkova, Program Manager of the IDSS MicroMasters. “With BREIT, we now offer a prerequisite ‘bootcamp’ to refresh knowledge for learners from different backgrounds. We are always looking for ways to add value for our partners.”

Better Decisions, Bigger Impact

BREIT’s program offers hands-on opportunities to apply data skills to social impact projects in collaboration with local NGOs. These projects aim to improve the quality of life for Peruvian citizens.

Diego Trujillo Chappa, a BREIT learner, developed a model for an NGO to understand why students do not complete graduate studies. “Our methodology helped the NGO identify more possible applicants and move forward with better data analysis,” he explains.

Yajaira Huerta worked with an organization building homes for the homeless during the Covid-19 pandemic. Her project identified areas with the highest need to strategize resource distribution, helping the team make better decisions.

Global Networks and Pipelines

MicroMasters Program in Statistics and Data Science credential holders have access to IDSS workshops and conferences. Through BREIT’s collaboration with IDSS, learners have more opportunities to interact with MIT faculty. Some have even visited MIT to meet students and faculty and learn about ongoing research.

During a recent visit, BREIT learners received completion certificates, toured the MIT campus, and previewed a new sports analytics course designed by Professor Anette “Peko” Hosoi.

“Hosting BREIT and their talented learners brings our partner efforts full circle,” says Christia. “This partnership is a model we are ready to build on, developing similar networks and pipelines of data science talent globally.”