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MicroMasters®

Statistics and Data Science (Sports Analytics & Statistics Track)

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 & 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.

You are currently exploring the Sports Analytics & Statistics 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.

Explore the Time Series and Social Sciences track here

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

Peko Hosoi

Neil and Jane Pappalardo Professor of Mechanical Engineering, Professor of Mathematics; Co-founder of the MIT Sports Lab

Prof. Hosoi’s research contributions lie at the juncture of nonlinear hydrodynamics, microfluidics and bio-inspired design. She is a world leader in the study of the hydrodynamics of thin fluid films and in the nonlinear physical interaction of viscous fluids and deformable interfaces. A common theme in her work is the fundamental study of shape, kinematic and rheological optimization of biological fluid systems for locomotion and their application to the emergent field of “soft robotics”. A unique mixture of experimental work, numerical simulation and theoretical analysis characterizes her work, and it combines elements of both engineering design and mathematical optimization. Her work is widely known and internationally respected by physicists, biologists, roboticists and applied mathematicians, as well as engineers, and is used to guide the engineering design of robotic swimmers, crawlers, burrowers and other mechanisms. Professor Hosoi has served as a member of the Defense Science Study Group and in 2012, was named a fellow of the American Physical Society for “innovative work in thin fluid films and in the study of nonlinear interactions between viscous fluids and deformable interfaces including shape, kinematic, and rheological optimization in biological systems.”

She is also an exceptional and innovative teacher, an inspiring mentor and an outstanding communicator of science in general. She is a MacVicar Faculty Fellow, the past winner of the Ruth and Joel Spira Award for Distinguished Teaching, the MIT School of Engineering Junior Bose Award for Education, the Bose Award for Excellence in Teaching, and awarded the prestigious Den Hartog Distinguished Educator Award.When she is not in lab, she can be found at Highland Mountain Bike Park on her downhill rig, snowboarding in British Columbia or monitoring her Fantasy Football team.