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Data Science
Online Bootcamp

Includes:

  • Python, scikit-learn, NumPy, Matplotlib, pandas, and more
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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
Why Data ScienceCareer PathsWhat You'll LearnPersonalised SupportFinancing OptionsHow to Apply

Bootcamp Duration

3 - 6 months

Bootcamp Price

£635/ month

13/01/2025

Experience

None required

Bootcamp Price

£635/ month

13/01/2025

Start Date

Bootcamp Price

£635/ month

13/01/2025

Develop the practical coding experience you need by mastering Python and more

Don’t miss the opportunity to gain in-demand skills, quality assured by Imperial College London, ranked number 1 in Europe/UK and number 2 in the world (QS World University Rankings 2025).


Whether you're looking to learn part-time or full-time, you can gain the experience you need to be career-ready, backed by a renowned university ranked first in the UK for research outputs, first in the UK for research environment, and first for research impact among Russell Group universities (Research Excellence Framework 2021).

Get 1-on-1 support

from experienced industry professionals.

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Build hands-on projects

that go beyond textbook theory.

Earn a certificate

from Imperial College London, a globally recognised institution.

Access career coaching

from interview prep to job search strategy.

“...do this and get to the point where you really are job-ready in a short period of time.”

Director of Imperial Business Analytics and Co-director of the DSI
Dr Mark Thomas Kennedy

Potential career paths

Data engineers are responsible for constructing and maintaining data pipelines and performing batch or real-time processing on gathered and stored data.

Data Engineer

A data analyst collects and cleans data to uncover patterns and trends. They present findings to inform strategic decision-making.

Data Analyst

Business analysts examine and inspect business processes and discover solutions to improve efficiencies and performances.

Business Analyst

After completing your bootcamp, you can pursue software engineering roles in various positions such as:

Combines an understanding of both engineering and coding. Create and implement the systems software used to analyse data and improve existing systems.

Business Intelligence
(BI) Developer

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.

Machine Learning
Engineer

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

Applications
Architect

A life changing experience

Employment Rate*

88%

Student Population*

13k +

Salary Growth*

178%

Tech Industry Transition*

86%

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

Level 1

Start coding in Python with variables, control structures, and pseudocode. Build resilient programmes using data structures, functions, and debugging techniques. Apply OOP, recursion, and shell scripting, and manage your code with Git.

Investment Calculator, Task Manager App

Capstone

Data Analytics and Exploration

Level 2

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

Machine Learning

Level 3

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.

Regression Model, Image Classifier, Clustering Project, 
AI Text Generator, NLP Script

Capstone

*DISCLAIMER: Curriculum content may be adjusted to reflect industry changes or instructional needs.

Hear from our participants

David de Lorenzo Lopez

Just one month after completing the course, I got my job as a Data Scientist.

From Geneticist to Data Scientist

Watch Story

Alice Howis

After 20 years in civil engineering, the bootcamp gave me the skills and confidence to turn my passion into a business.

From Psychology to Data Science

Watch Story

Skills that advance careers

CV and portfolio review

Build a professional CV and portfolio that highlight your strengths.

1-on-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.

Practical training and personal coaching designed to support real career moves.

One curriculum.
Two different ways to study.

Whether you are studying full-time or part-time, you’ll have access to code review and feedback from industry experts in real-time. Set your schedule to suit your needs, and look forward to working your way through industry-aligned content that will empower you in your new career.

3 months

Contact for more info

Full-time

40 hours per week
Complete as many coding tasks per month as you want

Code review & feedback 36 hours on weekdays

Quality, professional feedback on all coding submissions

6 months

Part-time

Contact for more info

10-20 hours per week
Complete up to 25 coding tasks each month

Code review & feedback 36 hours on weekdays

Quality, professional feedback on all coding submissions

Duration

Time commitment

Review time

Support

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Meet your leadership team

The Imperial College London Bootcamps, delivered in partnership with HyperionDev, are guided by a distinguished team of experts shaping the strategic direction of the programmes.

Lecturer in Data Science and Machine Learning

Dr Arcucci’s research focuses on AI for climate and environmental modelling. She is an elected member of the WMO and leads initiatives within Imperial’s AI Network of Excellence.

Dr Rossella Arcucci

Lecturer in Data Science and Machine Learning

Dr. Kennedy studies how innovations become real. He's Co-Director of Data Science Institute at Imperial and holds degrees from Northwestern and Stanford. His work has been published in top journals including American Sociological Review and Academy of Management Journal.

Dr Mark Kennedy

Research Fellow, Data Science Institute

Dr Șerban specialises in large-scale data visualisation, NLP, machine learning, affective computing, and interactive system design. He holds a joint PhD from INSA de Rouen Normandy and Babeș-Bolyai University.

Dr Ovidiu Șerban

One of the fastest-growing careers in tech

High-growth field

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

Top-rated career

Ranked #4 in Best Technology Jobs and #8 in 100 Best Jobs.

In demand across industries

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

Bootcamp financing options

Pay in instalments

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Make a deposit of

Total cost/

Spread the remaining cost over 8 monthly instalments of £746

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Make a deposit of

Pay over 24 months from as little as £249

Pay over 24 months with EdAId

Total cost/

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Pay from as little as £415 over 24 months.

Get a loan through The Student Funding Council (TSFC)*

Apply for a loan

No deposit required.

Upfront Payment

Total cost/

Pay in full and secure a limited-time discount.

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Full
Price

Discount

*Individual rates are subject to application profiles and credit record. T&C apply.

Your learning journey starts here

From your first click to your first job, here’s how it works

Choose your programme and apply in minutes.

01

Apply online

02

Get hands-on from day one with practical tasks and projects to help you build a job-ready portfolio.

Build real skills

03

Be taught by professionals with real industry experience.

Learn from experts

04

Stay motivated with mentorship, feedback and live check-ins.

Get 1:1 support

05

Earn a certificate and leave with a portfolio that proves your skills.

Bootcamp completion

06

Get CV support, interview prep and hiring opportunities to move forward.

Advance your career

No coding experience required

Study from anywhere

Student funding available

Become a Data Analyst with Imperial College London and HyperionDev

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Imperial College London is partnering with online education provider HyperionDev to offer a portfolio of high impact outcomes-oriented online learning programmes. These programmes are provided by HyperionDev and quality assured by Imperial College London to leverage their thought leadership in technical practice developed over decades of expertise.

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