Build hands-on skills with real projects and personalized career support in a flexible 12-week online format.
Data Science Bootcamp
03-06
Duration
Months
Start Date
None required
Experience
Why students choose our bootcamp
Earn a certificate from the University of Chicago, recognized worldwide
Work on projects grounded in real-world practice
Get one-on-one support from experienced mentors
Learn online in a flexible format that fits your life
Access career coaching, from interview prep to job search strategy
Commitment to quality and growth
88
Employment rate*
%
178
Salary growth*
%
86
Transitioned into tech*
%
13,000
Student population*
+
Real stories of success
From learner to
data professional
With a sharper skill set and a portfolio that stood out, Enrico landed a data role just one month after completing the bootcamp.
Enrico Carrer
From geneticist to
data scientist
David found the structured pace and up-to-date content gave him the clarity and momentum to shift into data science.
David Del Lorenzo
Why pursue a career in data science?
*According to the 2024 HyperionDev Graduate Outcomes Report. This report combines the student experience from global bootcamp participants, not limited to the University of Chicago.
Top-ranked profession
Named one of the top 10 jobs in the U.S. for pay, growth and satisfaction by U.S. News and World Report.
Exceptional job growth
Roles in data science are projected to grow 36% by 2033, over seven times faster than average.
High demand, growing gap
The U.S. may face a shortage of 250,000 data scientists by 2027, according to McKinsey.
This program offers a structured path from foundational skills to advanced techniques in data science. As you move through each level, you’ll apply your learning to practical projects that mirror the kind of work data scientists do on the job, like analyzing datasets, building models, and presenting insights.
What you'll learn
Level 1:
Python
for Data Science
Capstones: Investment Calculator, Task Manager App
Start coding in Python with variables, control structures, and pseudocode. Build resilient programs using data structures, functions, and debugging techniques. Apply object-oriented programming (OOP), recursion, and shell scripting, and manage your code with Git.
Level 2:
Data Analytics
and Exploration
Capstones: Integrated Database System, Data Analysis Report
Work with relational databases and Structured Query Language (SQL) to manage and integrate data. Use Python libraries like pandas and matplotlib to clean, analyze, and visualize data, and create dashboards with Tableau.
Level 3:
Machine Learning
Capstones: Regression Model, Image Classifier, Clustering Project, AI Text Generator, NLP Script
Train models using linear and logistic regression, decision trees, and clustering techniques. Build neural networks with PyTorch and explore natural language processing (NLP) with applications like sentiment analysis.
*DISCLAIMER: Curriculum content may be adjusted to reflect industry changes or instructional needs.
Experience, support, and direction to take your next professional step with confidence.
Skills with real career impact
Resume and portfolio review
Craft a polished portfolio and resume that showcases your strengths to employers.
One-on-one
mentorship
Get personal guidance on your LinkedIn, interview skills, and career direction.
Global hiring network
Access exclusive job boards, employer events, and valuable industry contacts.
Ongoing
guidance
Keep growing with career support and alumni resources after your course ends.
Meet your faculty
Dr. Greg Green is a Senior Instructional Professor and Director of the MS in Applied Data Science Program at the University of Chicago, as well as Senior Director for Industrial Partnerships and Strategy at the Data Science Institute. He helps bridge academic research with industry applications, equipping students with real-world data science skills.
Dr. Green has reshaped the curriculum to align with advancements in Data Science, Computer Science, Statistics, and Financial Mathematics. He has launched innovative courses such as “Leadership and Consulting in Data Science and AI,” “Machine Learning,” and “Your Career in Data Science,” ensuring students develop both technical expertise and industry insight.
With leadership roles at Vericast, Google, Publicis Groupe, and PwC, Dr. Green has applied data science to drive digital strategy, product innovation, and business transformation. His patented cloud-based media analytics platform was featured in Harvard Business Review and Fast Company, highlighting his impact on data-driven decision-making.
As an educator and industry expert, Dr. Green remains committed to preparing the next generation of data scientists with the skills to lead in an evolving digital world.
Greg Green
Senior Instructional Professor, MS Applied Data Science
Potential career paths
After completing your bootcamp, you can pursue data science roles in various positions such as:
Data Architect
Design and maintain the large-scale systems that store and organize data. Build the frameworks that power analysis, insights, and innovation.
Applications Architect
Plan and structure complex software systems so they run smoothly. Ensure every part of an application, from interface to infrastructure, works together seamlessly.
Data Engineer
Build and maintain the data pipelines that fuel analysis and machine learning. Make sure data is reliable, clean, and ready for use.
Business Intelligence
(BI) Developer
Create dashboards, reports, and tools that bring data to life. Help businesses see what’s happening and what to do next.
Data Analyst
Turn raw data into clear insights. Clean, interpret, and visualize information to help teams understand trends and make informed decisions.
Machine Learning Engineer
Develop predictive models and intelligent systems that automate tasks and uncover patterns. Use data to build smarter tools and products.
The University of Chicago is partnering with online education provider HyperionDev to offer a portfolio of high-impact, outcomes-focused online programs. These programs are provided by HyperionDev and quality assured by UChicago to leverage their thought leadership in technical practice developed over decades of expertise.
Courses
Claim tuition savings on all bootcamps for a limited time—also available with financing.
More ways to manage your tuition
Upfront payment
Pay upfront to secure this limited-time offer.
Upfront fee
Full price
Tuition savings
Limited time offer
Pay monthly
Make a 10% deposit and spread the rest over monthly installments.
Over 9 months
*The University of Chicago provides information about these options for your convenience, but does not endorse or recommend any specific lender or program. We encourage you to carefully review terms and compare options before making any financing decisions.
Student loan
Fixed-interest loans with rates starting at just 6.99%*. Quick and easy application process.
Student loan
Low-interest loans beginning from as little as $200. Flexible repayment terms.
Veteran benefits
GI Bill® benefits cover up to 100% tuition for eligible veterans and families.
VA Education
Benefits
Tuition assistance
Workforce funding may cover up to 100% tuition for eligible unemployed or underemployed individuals.
There are a variety of resources to help students finance their education. This includes employer reimbursement, private loans, and workforce development benefits.
Examples of external options students have used include:
How to apply
Getting started is straightforward. Here’s what to expect:
Choose your program
Select the course that aligns with your goals.
Apply online
Complete your application.
Secure your spot
Choose your payment method to continue.
Start learning
Meet your mentor and upskill at your pace.
Complete your course
Finish the course and receive your UChicago credential.
Frequently asked questions
If you enjoy working with data, solving problems, or finding insights that drive decisions, this bootcamp is a strong match. You’ll learn practical skills in Python, SQL, and machine learning, even with no prior experience.
Still unsure? Book a call with our admissions team, and we’ll help you decide.
No prior experience is required. You’ll start with the basics and build your skills step by step, with plenty of support along the way.
This bootcamp does not carry formal academic credit, but you'll earn a certificate of completion from the University of Chicago, which is widely valued by employers and can strengthen your path into a data science career.
If you study part-time, aim for 5 to 10 hours per week to finish in 6 months.
Full-time learners can complete it in around 3 months with 35-40 hours per week.
You can adjust your pace if needed.
You’ll need a computer with a stable internet connection. We’ll let you know if any specific tools or software are required before you start.
Life happens, and we get that. View our refund and deferral policy or reach out to admissions to talk through your options.
Ready to make your move into data science?
In just three to six months, gain the tools and know-how to start working toward a career in data science. Thousands have done it, and you can too.
