Data science bootcamp hero image
University of New South Wales

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
Enroll now
3-6 Months
Bootcamp Duration
5 August 2026
Next Cohort
None required
Experience

Guided learning from day one

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

Star icon

Earn a certificate

from a globally respected institution.

Book icon

Work on practical projects

that reflect industry practices.

Chat icon

Get 1-on-1 support

from experienced industry professionals.

Calendar icon

Study online, full- or part-time

with regular check-ins to keep you on track.

Tool icon

Access career support

from interview preparation to job search strategy.

Why choose a career in Data Science?

Industry growth icon

A high-growth field

The World Economic Forum forecasts 11 million new AI and data jobs by 2030.

Salary growth icon

Exceptional job growth

Demand for data analytics professionals in Australia is expected to grow 30% over the next five years.

Potential career paths

Explore your career options

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

Briefcase Icon

Data Analyst

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

Briefcase Icon

Data Engineer

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

Briefcase Icon

Machine Learning Engineer

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

Briefcase Icon

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.

Skills that take you further

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

CV and portfolio review icon

CV and portfolio review

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

1-on-1 mentorship icon

1-on-1 mentorship

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

Industry connections icon

Industry connections

Exclusive access to job boards, employer events, and industry contacts.

Ongoing guidance icon

Ongoing guidance

Career support and alumni resources that stay with you after you complete the program.

What you'll learn

From beginner to job-ready

This program offers a structured path from foundational skills to advanced data science techniques. As you progress, you'll work with datasets, build models and present insights through projects that reflect how data is used to support decision-making.

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, 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

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 certificate from the University of New South Wales, 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.

University of New South Wales certificate

Earn a respected certificate

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

Different ways to fund your course

Select your preferred payment option below to continue with your enrollment. Please note that by selecting "Pay Now", you accept our Terms & Conditions and Refund Policy.

Most affordable

Pay Upfront

Upfront fee

$6,360

Pay upfront to secure this limited-time offer.

20% Tuition savings
$7,950 Full price
Most popular

Pay Monthly

Pay for your course over time with flexible monthly installments.

Click 'Enroll now' to view available plans and choose an option that fits your budget.

How to apply

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

Ready to get started?

Practical skills. Real mentorship. A career-changing opportunity. Start your journey to gain in-demand skills and unlock new opportunities.