Bootcamp

Data Science

Build hands-on skills with real projects and personalized career support in a flexible 12-week online format.

Start Date

05/08/2026

00
Days
00
Hours
00
Mins
00
Secs

Duration

03-06 Months

Experience

None required

Curriculum
Success Stories
Career Paths
Payment Options
How to Apply

Why choose our Data Science bootcamp

  • Earn a globally recognized credential from the University of Chicago
  • 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
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Commitment to quality and growth

88%

Employment rate*

178%

Salary growth*

86%

Launched new careers*

13k+

Student population*

*According to the HyperionDev Graduate Outcomes Report. This report combines the student experience from global bootcamp participants, not limited to the university.

Real stories of success

Enrico Carrer
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
Watch Story
From learner to data professional
David Del Lorenzo
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
Watch Story
From geneticist to data scientist

Student stories reflect experiences from the global HyperionDev learner community and are not specific to University of Chicago participants.

Why pursue a career in data science?

High earning potential

The top 10% of US data scientists earned over $199,130 a year in May 2025.

Exceptional job growth

US data scientist roles are projected to grow 35% by 2035, creating more opportunities to turn your data skills into a career.

In-demand skills

AI and big data top the list of fastest-growing skill areas through 2030, according to the World Economic Forum.

What you'll learn

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.

Level 1

Python for Data Science

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.

Capstones: Investment Calculator, Task Manager App

Level 2

Data Analytics and Exploration

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.

Capstones: Integrated Database System, Data Analysis Report

Level 3

Machine Learning

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.

Capstones: Regression Model, Image Classifier, Clustering Project, AI Text Generator, NLP Script

*DISCLAIMER: Curriculum content may be adjusted to reflect industry changes or instructional needs.

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Skills with real career impact

Experience, support, and direction to take your next professional step with confidence.

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

Greg Green

Senior Instructional Professor, MS Applied Data Science

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.

Potential Data Science career paths

After completing the bootcamp, you’ll be ready for data science roles across a range of industries and teams:

Data Engineer

Data engineers are responsible for constructing and maintaining data pipelines and performing batch or real-time processing on gathered and stored data.

Data Analyst

A data analyst collects and cleans data to uncover patterns and trends. They present findings to inform strategic decision-making.

Business Analyst

Business analysts examine and inspect business processes and discover solutions to improve efficiencies and performances.

Business Intelligence
(BI) Developer

Combines an understanding of both engineering and coding. Create and implement the systems software used to analyse data and improve existing systems.

Machine Learning
Engineer

From image recognition to recommendation systems, machine learning engineers build the models behind intelligent products. They blend software engineering with data science to turn data into automation.

Applications
Architect

Applications architects design and oversee the structure of software applications, ensuring seamless user experience and system integration across platforms.

Ways to manage your tuition

Most affordable

Pay upfront

Upfront fee
$ 10,951
Pay in full to secure a discounted rate.
Tuition savings
14%
Full price
$ 13,001
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Most Popular

Pay monthly

From
$ 200
per month
Pay your tuition over time with flexible monthly installments thanks to our funding partners
Apply Now

Financial aid and funding options

External resources are available to help you finance your education.*
Review the options below to determine whether you qualify for support toward your tuition

Splitit
Installment plan

Split your tuition into 3 or 6 monthly installments from $583/month using your existing Visa or Mastercard credit card. No new credit needed.

Learn more
EdAid
Installment plan

Pay a deposit, then spread the remaining tuition over 24 monthly installments from $500/month.

Learn more
Climb Credit
Student loan

Choose flexible monthly repayments from $310/month, with loan options tailored to your eligibility.

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Sallie Mae
Student loan

Monthly repayments from $25/month, with interest-only or deferred repayment options available.

Learn more
GIBill
Veteran benefits

Use your GI Bill® education benefits to cover your bootcamp tuition. For veterans and eligible family members.

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WIOA
Workforce funding

Federal aid may cover your tuition if you are a dislocated worker, low-income adult, or young adult.

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Explore Funding Options

*The university 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.

Earn a data science credential upon completion

Finish your program with a verified digital credential that validates your achievement and career readiness.

Certificate for the bootcamp

How to apply

Getting started is straightforward. Here's what to expect:

01

Choose your program

Select the course that aligns with your goals.

02

Apply online

Complete your application.

03

Secure your spot

Choose your payment method to continue.

04

Start learning

Meet your mentor and upskill at your pace.

05

Complete your course

Finish with a credential that adds value.

FAQ

How do I know if the Data Science Bootcamp is right for me?

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.

Do I need a background in coding or tech to apply?

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.

Is this bootcamp accredited or certified?

This bootcamp does not carry formal academic credit, but you'll earn a certificate of completion from our institution, which is widely valued by employers and can strengthen your path into a data science career.

How much time do I need to commit?

Part-time learners should plan to dedicate an estimated 10–20 hours per week to complete the bootcamp in approximately six months. This option is ideal if you are balancing your studies with work or other commitments.

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Full-time learners should plan to dedicate an estimated 35–40 hours per week to complete the bootcamp in approximately three months.

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Our online bootcamps are designed to be flexible. If you need additional time, you may have the option to extend your bootcamp duration.

What are the technical requirements?

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.

What if I need to defer or get a refund?

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.

Apply NowSchedule a Call

Events

Stay tuned for live online sessions and in-person events. Discover more from our bootcamps experience with insights from our team and dedicated spaces to ask questions.

Wed
02
Dec 2026

Live Session & AMA

Location:
Online
Join us for an interactive online session where we will present the range of online bootcamps.
Ready to get started?
Book a Call
Apply Now