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MicroMasters®

Statistics and Data Science (Sports Analytics & Social Sciences)

Program Information

5 Courses to complete program
Course Format: Instructor-Paced
Estimated: 1 year, 5 months, 10-14 hours per week
Certificate: Program certificate on completion

Certificate Track

Earn a verified certificate of completion
$1,350full program
Save $150 compared to purchasing 5 courses separately
Access to this program & materials
Graded assignments & exams
MIT Open Learning certificate of completion

About this Program

Sports Analytics & Social Sciences Track
This track will prepare you to leverage data science alongside social science perspectives to understand organizational dynamics, athlete performance, and stakeholder engagement in sports, enabling you to inform strategic decision-making and contribute to evidence-based practices in sports management and policy.

You are currently exploring the Sports Analytics & Social Sciences track

General Track
This track will prepare you to become an informed and effective practitioner of data science who adds value to your organization across industries.

Explore the General track here

Methods Track
This track will prepare you with in-depth knowledge of data science and time series analysis and will enable you to conduct rigorous analysis, inform decision-making processes, and contribute to evidence-based practices across industries.

Explore the Methods track here

Time Series and Social Sciences Track
This track will equip you to analyze the impact of interventions on time series data, preparing you for roles in economics, public policy, and social sciences where understanding temporal dynamics is crucial for informed decision-making and policy formulation.

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NEW! Sports Analytics & Statistics Track

This track will prepare you with advanced statistical expertise and project-based experience to solve complex engineering and data challenges in the sports industry, equipping you to drive innovation in sports technology and analytics across professional organizations and sports enterprises.

Explore the Sports Analytics & Statistics track here

NEW! Sports Analytics & Social Sciences Track

This track will prepare you to leverage data science alongside social science perspectives to understand organizational dynamics, athlete performance, and stakeholder engagement in sports, enabling you to inform strategic decision-making and contribute to evidence-based practices in sports management and policy.

Explore the Sports Analytics & Social Sciences track here

All tracks are taught by MIT faculty and administered by IDSS at a similar pace and level of rigor as an on-campus course at MIT. The program is designed for learners who want to acquire sophisticated and rigorous training in data science without leaving their day job but without compromising quality. There is no application process, but college-level calculus and comfort with mathematical reasoning and Python programming are highly recommended if you want to excel.

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Courses

To complete this program, you must take 5 required courses.

Required Courses

Meet your instructors

Patrick Jaillet

Professor

Patrick Jaillet is a Professor of Electrical Engineering and Computer Science and Co-Director of the MIT Operations Research Center. He obtained his PhD in Operations Research at MIT. His research interests deal with optimization and decision making under uncertainty as applied to transportation and the internet economy. Professor Jaillet’s teaching includes subjects such as algorithms, optimization, and probability.