
Data Science
Includes:
- Python, scikit-learn, NumPy, Matplotlib, pandas, and more.
For those who want to:
- Learn the skills needed to launch a data science career.
- Learn the essentials of probability and statistics for data analysis & visualisation.
- Understand the fundamental concepts of machine learning.


Start Date
05/08/2026
Duration
12-39 weeks
Experience
None required
Develop the practical coding experience you need by mastering Python and more
Gain in-demand skills, quality assured by The University of Manchester, delivered in partnership with HyperionDev. Master the Python programming language, learn the fundamentals of machine learning, and start using data science libraries such as scikit-learn, NumPy, Matplotlib and pandas. As data becomes the world’s most valuable resource, the demand for data scientists is rising rapidly. Master the tools, techniques and knowledge required to think like a data scientist and switch to this highly valued, sought-after career.

Certificate of completion
Earn a certificate of completion from a globally recognised institution.
Real-world projects
Build real-world projects that go beyond textbook theory.
Get 1-1 support
Get 1-on-1 support from experienced industry professionals.
Career coaching
Access career coaching from interview prep to job search strategy.
Professor Steve Pettifer
Academic Lead for Digital Learning
"If you are looking to upskill at your own pace, change careers, or start out in the tech industry, then HyperionDev bootcamps offer a fast and effective pathway into the tech industry. With the flexibility of online learning, you can learn software engineering, data science or web development in 6 months or less and fit it seamlessly into your busy schedule."
Skills that advance careers
Practical training and personal coaching designed to support real career moves.
CV and portfolio review
Build a professional CV and portfolio that highlight your strengths.
1-1 mentorship
Get tailored support with LinkedIn, interviews, and job search strategy.
Global hiring network
Connect with employer events, job boards, and industry contacts.
Ongoing guidance
Access continued career support and alumni resources after your course.
A life-changing experience
Employment rate*
Salary growth*
Launched new careers*
Learner population*
*According to the HyperionDev Graduate Outcomes Report. This report combines the student experience from global bootcamp participants, not limited to the university.
Why choose a career in data science?
Top-rated career
Ranked #4 in Best Technology Jobs and #8 in 100 Best Jobs.
High-growth field
Data Scientist roles are expected to grow 36% by 2033, far faster than average.
In demand across industries
Roles are growing across tech, healthcare, government, and retail.
Real stories of success

With a sharper skill set and a portfolio that stood out, Enrico landed a data role just one month after completing the bootcamp.

David found the structured pace and up-to-date content gave him the clarity and momentum to shift into data science.
What you'll learn
The Data Science Bootcamp offers a structured learning journey through key skills in programming, analytics, and machine learning. Start with Python, then build your knowledge in databases, data analysis, and advanced topics like neural networks and NLP. Build real-world skills through hands-on projects and expert support every step of the way.
Python for Data Science
Start coding in Python with variables, control structures, and pseudocode. Build resilient programmes 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
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.
Capstones: Integrated Database System, Data Analysis Report
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.
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.
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.
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.
Business Intelligence (BI) Developer
Combines an understanding of both engineering and coding. Create and implement the systems software used to analyse data and improve existing systems.
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.
Ways to manage your tuition
Pay upfront
Pay monthly
Financial aid and funding options
External resources are available to help you finance your education.*
Review the options below to determine whether you qualify for support toward your tuition
Split your tuition into monthly instalments from £670/month using your existing Visa or Mastercard credit card. No new credit needed.
Pay a £499 deposit, then spread the remaining tuition over 24 interest-free monthly instalments from £240/month.

Pay a £499 deposit, then spread the remaining tuition over 24 interest-free monthly instalments from £240/month. A £1/month fee applies.

Spread your tuition across 12 monthly repayments from £595/month at a 14% APR, with no upfront deposit.

Break your tuition into bite-sized payments and spread the cost over 6–24 months.
*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 credential that validates your achievement and career readiness.

How to apply
We make applying easy and tailored to you, offering guidance for all experience levels to help you reach your career goals.
Choose your program
Pick the course that fits your goals and schedule.
Apply online
Submit a quick online application.
Secure your spot
Select a payment option and confirm your enrolment.
Start learning
Access your course materials, meet your mentor, and begin building real skills.
Job ready
Earn your university-backed certificate and move forward in your career.
FAQ
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?
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.
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.