The University of Chicago

Online Data
Science Bootcamp

Outcomes

Analyze and interpret data using Python and SQL
Build models using machine learning techniques
Work with data visualization tools to communicate insights
Develop a foundation in neural networks and natural language processing

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3 - 6 Months

Duration

5 August 2026

Start Date

None required

Experience

Everything you need to succeed

Structured learning with ongoing support to help you build skills step by step.

Earn a digital credential

from a globally respected institution.

Build applied projects

that reflect industry practices.

Get one-on-one support

from experienced industry professionals.

Study online, full- or part-time

with structured mentorship throughout.

Access career support

from interview preparation to job search strategy.

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Why pursue a career in data science?

Top-ranked profession

Data science is ranked among the top roles in the U.S. for pay, growth, and job satisfaction.

Exceptional job growth

Roles in data science are projected to grow 36% through 2033.

High demand, growing gap

The U.S. may face a shortage of 250,000 data scientists by 2027.

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Career Outcomes

Diverse career paths

After completing the bootcamp, you can pursue roles such as

Data Analyst

Turn raw data into clear insights. Clean, interpret, and visualize information to help teams understand trends and make informed decisions.

Data Engineer

Build and maintain the data pipelines that fuel analysis and machine learning. Make sure data is reliable, clean, and ready for use.

Machine Learning Engineer

Develop predictive models and intelligent systems that automate tasks and uncover patterns. Use data to build smarter tools and products.

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.

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Skills with real career impact

Practical learning and personal support to help you take the next step in your career.

Resume and portfolio review

Craft a polished portfolio and resume that showcases your strengths to employers.

Global hiring network

Access exclusive job boards, employer events, and valuable industry contacts.

One-on-one mentorship

Get personal guidance on your LinkedIn, interview skills, and career direction

Ongoing guidance

Keep growing with career support and alumni resources after your course ends.

What you’ll learn

Your learning journey

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.

Course Outline

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.

Capstone:

Investment Calculator, Task Manager App

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.

Capstone:

Integrated Database System, Data Analysis Report

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.

Capstone:

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

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

See our FAQs

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.
Still unsure? Book a call with our admissions team, and we’ll help you decide.

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 digital credential from the University of Chicago, 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.
Full-time learners should plan to dedicate an estimated 35–40 hours per week to complete the bootcamp in approximately three months.
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.

Still have questions? Contact our Admissions Team, and a real person will get back to you.

Earn a certificate of completion

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

Apply now

Ways to manage your tuition

Whether you're planning ahead or need more flexibility, we’ve got payment options to match.

Most affordable

Pay upfront to secure this limited-time offer.

20% Tuition savings

$13,000 Full price

Enroll now

Online Data
Science Bootcamp

Outcomes