Engineer Your Future

Master of Engineering at the University of Chicago’s Pritzker School of Molecular Engineering

Graduate with Global Skills. Lead in Data Science.

Other Programs Teach Data Science. We Launch Careers.

Your goal isn’t just to learn data science—it’s to command it. Most programs force a choice between abstract theory and narrow technical skills. But you need to be the full-stack leader that industry demands.

UChicago’s MS in Applied Data Science was engineered to eliminate this compromise. We fuse intellectual rigor with a hyper-current curriculum covering the entire data lifecycle, from deep data engineering to product implementation.

• Led by practitioner-faculty who are architects of data science leadership at global firms.
• A two-quarter Capstone residency where you’ll solve a critical business challenge for a real client or conduct original research on a topic of interest.
• Offered online, in-person, full-time, or part-time.

You won't just graduate with a degree; you'll leave with a portfolio and skills that transform you into an indispensable leader who architects high-impact solutions.

Graduates of UChicago’s MS in Applied Data Science program lead innovation across industries — from tech and finance to healthcare and consulting. Our alumni are employed at companies such as:

Program Highlights

We offer merit-based scholarships to help make your degree more accessible. Eligible students are automatically considered during the application process.

Scholarships Available

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AI and data science jobs are projected to grow 34% by 2034 according to the U.S. Bureau of Labor Statistics.

The Data Science MS Engineered for Maximum ROI

Don't Choose Between Theory and Practice. Master Both.
True mastery isn't a choice. It’s a fusion. Anchored in our Physical Sciences Division and Data Science Institute, our program merges deep theory with intensive application to build complete data leaders.

Master the Full Data Stack. From Engineering to Executive Impact.
We build full-stack leaders who can build, deploy, and scale real solutions. You will become an expert in the entire data lifecycle, from the deep data engineering foundations that many programs overlook to the strategic insights that drive executive decisions.

Learn from the Architects of Industry. Not Just the Observers.
Your instructors aren’t just academics. They are the architects building the future of data at global innovators such as Amazon, Goldman Sachs, Uber, and Google. Learn directly from the source and master the industry.

Your Capstone Project Becomes Your Career Catalyst.
This is not a final project. It’s your professional residency. Over two quarters, you’ll solve complex challenges for a real-world client, delivering solutions that showcase your data science expertise and leadership potential.

The program equipped me with technical expertise in machine learning, statistical modeling, and data visualization, which I directly apply in creating practical, scalable, and robust analytical solutions.

-Alex Huba, 
Principal, Global Decision Science & Innovation 
Circana

MS in Applied Data Science

Program Highlights

Statistical Models for Data Science

Leadership and Consulting for Data Science

Data Engineering Platforms for Analytics

Big Data and Cloud Computing

Machine Learning

Time Series Analysis and Forecasting

Deadlines

• December 4, 2025: Final Application Deadline for In-person 2-year Thesis Track Program

• June 23, 2026: Final Application Deadline for All Programs (Except for the 2-Year Thesis Track)

• December 4, 2025: Scholarship Priority Deadline