Bootcamp

Data Science

INCLUDES:

  • Python, scikit-learn, NumPy, pandas, and more
    ‍

FOR THOSE WHO WANT TO:

  • Launch a Data Science career in 3–6 months
  • Learn probability and statistics for analysis and visualisation
  • Understand key machine learning concepts

Start Date

05/08/2026

00
Days
00
Hours
00
Mins
00
Secs

Duration

03-06 Months

Experience

None required

Why choose our Data Science bootcamp

Position yourself for success in an increasingly data-driven world with a flexible, outcomes-focused online bootcamp. Whether pivoting careers or growing in your current role, this intensive course guides you in taking your tech career further in data science.
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  • Earn a certificate globally respected institution
  • 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

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.

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.

Hear from bootcamp participants

Abdush-Shakoor Kippie

Abdush-Shakoor Kippie

From Mathematics Teacher to Python Developer

Abdush struggled to break into tech. His decision to enrol in the Data Science bootcamp changed the trajectory of his career.

Willem Smith Moolman

Willem Smith Moolman

From Financial Advisor to Software Developer Intern

Willem changed the course of his career through the Software Engineering Bootcamp, finishing top of his class and turning a brand-new skill set into his first role as a developer.

A life-changing experience

88%

Employment rate*

178%

Salary growth*

86%

Launched new careers*

13k+

Learner population*

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

What you'll learn

This data science bootcamp is designed to guide you through a progressive learning journey that builds your skills in programming, analytics, and machine learning step by step. You’ll start with Python fundamentals and progress to databases, data analysis, and advanced machine learning techniques, including neural networks and natural language processing (NLP).

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Each stage is supported by practical projects that help you apply your skills in real-world contexts, whether you're analysing large datasets, building regression models, or training a neural network. Supported by mentors, this structured path equips you for a data-centric role.

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.

Skills that advance careers

Practical, outcomes-focused training with tailored guidance to help you take the next step with confidence.

CV and
portfolio review

Build a professional CV and portfolio that showcase your skills effectively.

1-on-1
mentorship

Receive personalised support with LinkedIn, interviews, and job search strategy.

Global hiring network

Connect with employer events, job boards, and industry contacts.

Ongoing guidance

Benefit from continued career support and alumni resources after your course.

Why pursue a career in data science?

High-growth field

In demand
across industries

Invest in your future

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

Most affordable

Pay upfront

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

Pay monthly

From
R 495
per month
Pay your tuition over time with flexible monthly installments thanks to our funding partners

Tuition assistance and financing options

Explore external financing and funding options to see how you may be able to cover part or all of your tuition.

Capitec Education Finance
Student loan

Get an education term loan of up to R500 000 with lower monthly payments designed to fit your budget. Apply online or in branch to get an estimate in 5 minutes.

Manati
Student loan

Access tailored student funding with flexible repayment plans designed around your circumstances, including fixed or step-up monthly instalments.

Old Mutual
Student loan

Secure custom education funding and financial planning solutions tailored to your monthly budget and study goals.

Student Hero
Student loan

Explore study funding options from multiple South African banks and alternative lenders through one application.

*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 certificate upon completion

Finish your program with a verified digital certificate 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
programme

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 the course and receive your certificate.

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.

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.

Future-proof your career with HyperionDev in partnership with Stellenbosch University

Apply now
No coding experience required.
Study from anywhere
Student funding available

Still have questions?

Contact our Admissions Team, and a real person will get back to you.

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.

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. Lucky attendees might get a chance to get a hold of limited discount codes.

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