Bootcamp

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

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Days
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Hours
00
Mins
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Secs

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

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.

Why choose a career in data science?

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

Enrico Carrer
From learner to Data Professional

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

Enrico Carrer
David Del Lorenzo
From Geneticist to Data Scientist

David found the structured pace and up-to-date content gave him the clarity and momentum to shift into data science.

David Del Lorenzo

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.

Level 1

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

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.

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 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

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
£ 240
per month
Pay your tuition over time with flexible monthly installments thanks to our funding partners

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

Splitit
Instalment Plan

Split your tuition into monthly instalments from £670/month using your existing Visa or Mastercard credit card. No new credit needed.

EdAid
Instalment Plan

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

StepEx
Instalment Plan

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

The Student Funding Company
Student Loan

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

NewPay
Flexible Credit Account

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.

Certificate for the bootcamp

How to apply

We make applying easy and tailored to you, offering guidance for all experience levels to help you reach your career goals.

01

Choose your program

Pick the course that fits your goals and schedule.

02

Apply online

Submit a quick online application.

03

Secure your spot

Select a payment option and confirm your enrolment.

04

Start learning

Access your course materials, meet your mentor, and begin building real skills.

05

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.

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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