Bootcamp

Data Science and Artificial Intelligence

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 and visualisation
  • Understand the fundamental concepts of machine learning

Start Date

05/08/2026

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Days
00
Hours
00
Mins
00
Secs

Duration

12 - 39 weeks

Experience

None required

Curriculum
Success Stories
Career Paths
Payment Options
How to Apply

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).
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  • Earn a certificate from Imperial College London, a globally recognised 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
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Book a Call

Dr Mark Thomas Kennedy

Director of Imperial Business Analytics and Co-Director of the DSI

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

What you'll learn

This program offers a structured path from foundational skills to advanced techniques in data science. As you move through each level, you’ll apply your learning to practical projects that mirror the kind of work data scientists do on the job, like analyzing datasets, building models, and presenting insights.

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.

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Potential 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.

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.

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.

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.

Hear from our participants

Enrico Carrer

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.

Watch Story
From Learner to Data Professional
David Del Lorenzo

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.

Watch Story
From Geneticist to Data Scientist

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.

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 programs.

Dr Rossella Arcucci

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 Mark Kennedy

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 Stanford and Northwestern. His work has been published in top journals including American Sociological Review and Academy of Management Journal.

Dr Ovidiu Șerban

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.

Fund your future career on your budget

Most affordable

Pay Upfront

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

Pay Monthly

From
£ 290
per month
Pay your tuition over time with flexible monthly instalments thanks to our funding partners.
Apply Now

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 £1250/month using your existing Visa or Mastercard credit card. No new credit needed.

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EdAid
Instalment Plan

Pay a £499 deposit, then spread the remaining tuition over 24 interest-free monthly instalments from £290/month.

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StepEx
Instalment Plan

Pay a £499 deposit, then spread the remaining tuition over 24 interest-free monthly instalments from £290/month. A £1/month fee applies.

Learn More
The Student Funding Company
Student Loan

Spread your tuition across 12 monthly repayments from £709/month at a 14% APR, with no upfront deposit.

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NewPay
Flexible Credit Account

Break your tuition into bite-sized payments and spread the cost over 6–24 months.

Learn More
Explore Funding Options

*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

Getting started is straightforward. Here's what to expect:

01

Choose your program

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.

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Full-time learners should plan to dedicate an estimated 35–40 hours per week to complete the bootcamp in approximately three months.

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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.

Apply NowSchedule a Call

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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