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Arizona State University

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
Apply now
3 - 6 Months
Duration
5 June 2026
Start Date
None required
Experience

Everything you need to succeed

Hands-on learning, guided support and clear progress at every stage.

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Earn a certificate

from a globally respected institution

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Build applied projects

that reflect industry practices

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Get 1-on-1 support

from experienced industry professionals

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Study online, full or part-time

with structured mentorship throughout.

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Access career support

from interview preparation to job search strategy

Why choose a career in data science?

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Fastest-growing field

Jobs in data science are set to grow 36% by 2033, over 7x faster than average.

Career Outcomes

Unlock career opportunities in tech

After completing the bootcamp, you can pursue roles such as:

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Computer and Information Research Scientist

Use machine learning, AI, and computational models to push the boundaries of what technology can do. Often involved in developing new algorithms and AI applications.

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Database Architect

Design and manage databases that support large-scale data science and AI projects, from data lakes to real-time analytics platforms..

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Computer Systems Analyst

Leverage data and AI to optimize systems, automate workflows and support smarter decision-making within organizations.

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Computer Network Architect

Build and maintain the infrastructure needed to support data-heavy AI systems, including cloud and edge computing environments.

Built to take your career further

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

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Resume and portfolio review

Craft a resume and portfolio that shows what you can do.

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1-on-1 mentorship

Get help with LinkedIn, interviews and your job search.

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Global hiring network

Connect with employer events, job boards, and industry contacts

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Ongoing guidance

Access ongoing resources and guidance after youfinish your course.

From beginner to job-ready

What you’ll learn

The Software Engineering Bootcamp is a comprehensive, hands-on programme that takes you from Python fundamentals to advanced software engineering.

Designed for both beginners and those with some coding experience, it blends theory with real-world practice through coding assignments, capstone projects, and portfolio-building work that mirrors industry demands. Learn to design, build, and test scalable applications while gaining problem-solving skills employers look for.

Course booklet preview

Course Outline

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.

Capstone:

Investment calculator and 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.

Capstone:

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.

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.

Frequently Asked Questions

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 certificate of completion from Arizona State University, which is widely valued by employers and can strengthen your path into a data science career.
How much time do I need to commit?
If you study part-time, plan to dedicate 10–20 hours per week to complete the program in approximately six months.
Full-time learners can complete the program in around three months, dedicating about 40 hours per week.
If needed, you may have the option to adjust your pace and extend your timeline.
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, Contact admissions and a real person will get back to you.

University accreditation certificate

Earn a certificate of completion

Finish your program with a verified digital certificate, a world-leading university credential that validates your achievement and career readiness.

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

Upfront fee

$10,950

Pay upfront to secure this limited-time offer.

15% Tuition savings
$13,000 Full price
Most popular

Pay monthly

From

$200 per month

Pay your tuition over time with flexible monthly instalments.

How to apply

Getting started is simple. Here's what to expect.

You'll follow a university-reviewed curriculum with video lessons and guided projects. Apply your learning through practical exercises, get feedback as you progress, and in select courses, join live lectures from faculty for added insight.

Ready to get started?

Practical skills. Real mentorship. A career-changing opportunity. Start your journey to become a software engineer in 3-6 months.