Data Science bootcamp hero image
Stellenbosch University

Online Data
Science
Bootcamp

Outcomes

  • Launch a Data Science career in 3–6 months
  • Learn probability and statistics for analysis and visualisation
  • Understand key machine learning concepts
Apply now
3 - 6 Months
Duration
5 June 2026
Start Date
None required
Experience

Why choose the data science bootcamp?

Practical learning. Personal support. Job-focused outcomes.

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Earn a certificate of completion

from a globally respected institution.

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Build real-world projects

that go beyond textbook theory.

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Get 1-1 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

when you need it, from coaching to resume preparation.

What makes data science a smart career move?

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High-growth field

Data scientist roles are expected to grow 36% by 2033, far faster than average.

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In demand across industries

Roles are growing across tech, healthcare, government, and retail.

Diverse career paths

Unlock career opportunities in tech

After completing your bootcamp, you can pursue data science roles in various positions such as:

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Data Engineer

Data engineers are responsible for constructing and maintaining data pipelines, as well as the performance of both batch or real-time processing on gathered and stored data.

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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.

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Applications Architect

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

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Business Intelligence (BI) Developer

BI developers create tools and strategies that help businesses extract actionable insights from data, enabling smarter, faster decision-making.

Skills that advance careers

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

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Resume and portfolio review

Build a professional resume and portfolio that showcases your skills effectively.

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1-1 mentorship

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

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Global hiring network

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

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Ongoing guidance

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

What you’ll learn

Your learning journey

The 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).

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.

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 SQL to manage and integrate data. Use Python libraries like pandas and matplotlib to clean, analyse, and visualise 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 with real-world 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.

FAQs

Got questions about the Data Science Bootcamp? We’ve answered the most common ones below.

How do I know if the Data Science Bootcamp is right for me?
Whether you’re new to tech or already working in IT, this bootcamp gives you the practical skills to break into data science or advance your current career. Still unsure? Book a call with the Admissions Team, and we’ll help you figure it out.
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 university-backed certificate, 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 around 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 around 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 the refund and deferral policy or contact admissions to discuss your options.

Still have questions? Contact our Admissions Team, and a real person will get back to you. Contact admissions for more information. Phone admissions +27 (21) 201-7344‬

University accreditation certificate

Earn a certificate of completion

Finish your programme with a verified digital certificate. This is a non-accredited certificate and does not provide entry into formal Stellenbosch University programmes or courses.

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

$8,995

Pay upfront to secure this limited-time offer.

10% Tuition savings
$10,000 Full price
Most popular

Pay monthly

Pay your tuition over time with flexible monthly instalments.

Click 'Apply now' to view the monthly payment options available to you and choose a plan that fits your budget.

How to apply

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

Ready to get started?

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