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Part-Time Programme

Data Science Bootcamp London

Learn advanced AI and data science skills on evenings and weekends, designed so you can learn while you work.

  • Flexible schedule
  • Designed for working professionals

View the Programme Package to access:

  • Tuition details
  • Financing options
  • Application process

Next Kickoff:

September 9

Application Deadline ends August 15

Apply Now

Limited Capacity

Select a start date that fits your schedule.

Become a Data Scientist

on Your Evenings and Weekends

BrainStation's bootcamps are built from the ground up for working professionals, so you can upgrade your skills while continuing to work at your current job.

  • Flexible Learning Designed for Working Professionals

    • Level up without interrupting your career or giving up your salary.
    • Score points by immediately applying learnings to your job.
    • Planned breaks help you balance your commitment and succeed.
    Discover the Experience
  • Build Your Skills and an Industry-Ready Portfolio

    Throughout the program, you'll not only transform your skills: you’ll create a professional, industry-ready portfolio that highlights everything you've learned, tailored to your specific career goals.

    View Curriculum
  • Personalized, 1-on-1 Career Support From Day 1

    Whether you're looking to change careers or level up your skills within your current company, BrainStation's Career Success team will work with you to develop a unique career success plan based on your specific goals.

    Explore Career Services

Alumni Stories Data Science

Willie Costello

Willie Costello

Senior Data Scientist

Alex Jeong

Alex Jeong

Data Analyst

Arisa Yoshikawa

Arisa Yoshikawa

Data Scientist

Govind Suresh

Govind Suresh

Data Scientist

Travis Kirker

Travis Kirker

Lead Product Manager

Amandeep Dhillon

Amandeep Dhillon

Senior Solutions Consultant

Daria Aza

Daria Aza

Machine Learning Engineer

Samit Watve

Samit Watve

Principal Bioinformatics Scientist

Willie Costello

Willie Costello

Senior Data Scientist

Alex Jeong

Alex Jeong

Data Analyst

Arisa Yoshikawa

Arisa Yoshikawa

Data Scientist

Govind Suresh

Govind Suresh

Data Scientist

Travis Kirker

Travis Kirker

Lead Product Manager

Amandeep Dhillon

Amandeep Dhillon

Senior Solutions Consultant

Daria Aza

Daria Aza

Machine Learning Engineer

Samit Watve

Samit Watve

Principal Bioinformatics Scientist

Bootcamp Learning,
Designed for Professionals

  • 6-months+ of part-time learning
  • Flexible office hours
  • Planned break weeks

The Balanced Weekly Schedule

You'll attend two evening classes on weekdays, paired with one weekend session every other week. This rhythm helps you stay consistently engaged, without overwhelming your evenings or disrupting your weekends.

Example schedule

Industry Sprint Weeks

Apply everything you've learned across two separate 4-day industry sprints, where you'll collaborate in cross-functional teams to tackle challenges sourced from real leading companies. Present your solution to a panel of business representatives and demonstrate everything you've learned.

Example schedule

Industry Sprint project

Designing a Data-Driven Travel Recommendation Engine

How can Airbnb create a more personalised recommendation engine to drive better customer experiences based on user preferences and history?

airbnb project example

Industry Sprint project

Personalising Content Discovery on The HBO Max App

How might HBO Max help users easily discover content they'll love? What innovations can be brought to the HBO Max app that supports content discovery?

airbnb project example

Industry Sprint project

Driving Podcast Innovation With Spotify

How might Spotify discover the ideal podcast format for listeners considering short-form vs. long-form durations, and seamlessly incorporate it into the in-app podcast experience?

airbnb project example

Industry Sprint project

Amplifying Fan Engagement Through Digital Innovation

How can the NBA use what it knows about its fans to increase fan engagement with the League by leveraging digital innovation?

airbnb project example

Past Industry Sprint Partners Include:

Upcoming Start Dates

Sep 09

September 9 March 19

3 months to kick-off

Part-Time Flexible

Tuesday, Thursday, and Saturday

Early Application ends May 30

Apply Now
Jan 12

January 12 July 22

7 months to kick-off

Part-Time Flexible

Monday, Wednesday, and Saturday

Early Application ends Oct 10

Apply Now

Data Science Bootcamp Curriculum

Unit 1

Fundamentals: Data Analysis & Visualisation

Begin your data science journey by developing critical data skills in data analysis, business intelligence, and visualisation. Build a strong foundation and prepare yourself for more advanced work ahead by learning about data types, how to work with them, and more. In this unit, you'll also explore the world of databases, and how to work with relational database management software (MySQL) to model, structure, and manipulate data for analysis. You will also begin learning about programming through SQL, enabling you to write powerful queries to perform data operations. Finally, you'll use Tableau, an industry-standard tool, to craft dynamic visualisations and dashboards that effectively communicate insights to others.

  • MySQL
  • Tableau
Key Skills:
SQL
Databases
Data Modelling & Schema
Data Analysis
Data Visualisation
Dashboards

Learn Fundamental Data Science Concepts

Real-world data analytics often involves working with larger and more complex data sets. Build an understanding of data types, relational databases, schema, and data processing, and use industry tools like MySQL to begin the data analytics process. By learning these key concepts, you'll be better prepared to tackle the advanced work ahead.

Learn SQL to Manipulate Data and Perform Data Analysis

Structured Query Language (SQL) is a powerful programming language and one of the essential programming skills needed for a career in data. Learn how to write advanced expressions with SQL to process data, surface key data points, highlight patterns, and augment your search capabilities within large data sets and prepare for business intelligence.

Communicate Data Insights With Powerful Data Visualisations

Learn critical concepts to design impactful visualisations that communicate your data analytics insights – when to use different chart types, visualisation design, dashboarding, along with best practises for accessibility, colour use, and more. Use Tableau – an industry-leading business intelligence and visualisation tool – to augment your analysis and distil the most important insights into clear visualisations.

Unit 2

Analysis for Data Science

Data science work relies on programming with languages such as Python and R. In this unit, you'll build core programming skills and leverage data science tools to perform complex data science work. You'll learn how to gather data from the web, complete data wrangling, and use code to perform analysis, build visualisations, and present insights. This unit is filled with essential data science knowledge and is your crash course for core data science skills and capabilities, orienting you for more advanced work ahead.

  • Python
  • Notebooks
  • NumPy
  • Pandas
  • Seaborn
  • Unit 2 tool: matplotlib-white.svg
  • Statsmodels
  • Plotly
  • Bash
  • Unit 2 tool: git-white.svg
Key Skills:
Python
Object-Oriented Programming (OOP)
Data Cleaning
Exploratory Data Analysis (EDA)
Statistical Analysis
Hypothesis Testing
Predictive Models
APIs & Web Scraping
Command Line Scripting
Python Data Visualisation
Code Version Control

Master Programming and Python for Data Science

Python is an essential skill and one of the most important tools for data science, providing unique power and flexibility to handle large volumes of data. Through this programme, you'll learn fundamental programming concepts that will also help you learn other languages in the future, and you'll use Python to perform data cleaning, analysis, visualisation, and more.

Learn Essential Statistical Analysis Concepts

In this unit, you'll explore important statistics concepts including central tendency, dispersion, covariance, and more, learning how to incorporate them into your analysis. You'll also practise how Data Scientists perform hypothesis testing to uncover insights, and you'll build predictive models using linear and logistic regression analysis.

Perform Advanced Data Work Using Industry Tools

Data Scientists use an ecosystem of tools to help them perform more advanced work quickly and efficiently. You'll learn how to work with Python packages and libraries to extend Python's capabilities, and use command line and git to manage your code. You'll also explore new tools commonly used in data science – the programming language R, and Tidyverse (a collection of packages), among others.

Unit 3

Artificial Intelligence & Machine Learning Techniques

Machine learning is an integral part of data science and has become commonplace today, powering many of the digital services and technologies used by businesses and consumers. In this unit, you'll dive deep into machine learning fundamentals, and explore a variety of techniques and algorithms used as part of this subset of data science. You'll also explore a variety of industry tools used to build machine learning models and gain hands-on practise learning and applying machine learning concepts.

  • Unit 3 tool: open-ai.svg
  • ChatGPT
  • DALL•E
  • Python
  • Anaconda
  • Notebooks
  • Unit 3 tool: matplotlib.svg
  • NumPy
  • Pandas
  • Seaborn
  • Scikit-learn
  • Keras
  • Unit 3 tool: tensor-flow.svg
Key Skills:
Generative AI
Prompt Engineering
Machine Learning
Supervised Learning
Unsupervised Learning
Feature Engineering
Text Analysis (NLP) & Image Processing
Model Evaluation
Exploratory Data Analysis (EDA)

Learn Essential Machine Learning Concepts and Cutting-Edge Industry Tools

Explore machine learning and how it can be applied in practical, real-world scenarios. You'll also use Python, along with a number of packages and other tools to understand how machine learning models function, and practise applying supervised and unsupervised machine learning techniques.

Apply Machine Learning Techniques for Data Analysis & Predictive Modelling

Learn to perform exploratory data analysis and feature engineering to explore trends in diverse data sets. You'll perform predictive modelling and work with unstructured data like natural language text and images in machine learning models. Learn to evaluate models to determine the accuracy of your results.

Explore Generative AI & Prompt Engineering

Learn about Large Language Models (LLMs) including ChatGPT, and the AI technologies behind them, including neural networks and deep learning. Explore prompt engineering techniques to maximise your results. Practise evaluating and improving model performance by fine-tuning a pre-trained language model. Explore how to deploy generative AI models.

Unit 4

Big Data Fundamentals With Machine Learning

New data of varying types are constantly being produced at a staggering rate through the increased use of technology from individuals and organisations. From images, to text, to sensor data, and more, Data Scientists must be capable of handling, organising, and analysing these massive quantities of data. Together with machine learning, big data can be used to provide unique insights and powerful capabilities, like natural language processing and more. In this unit, you will be exposed to the world of big data, and leverage industry tools to learn and apply key concepts related to big data, machine learning, and deep learning.

  • Python
  • Anaconda
  • Notebooks
  • Scikit-learn
  • NetworkX
  • Amazon Web Services
  • Unit 4 tool: hadoop.svg
  • Unit 4 tool: spark.svg
Key Skills:
Cloud Fundamentals
Recommender Systems
Big Data Analysis
Machine Learning

Learn Big Data Fundamentals

Big data sets are often diverse, containing information from different sources and in different formats. This reality requires a number of individuals and different technologies to effectively manage big data. You'll gain a strong foundation around big data, and explore the technology, architecture, people and processes used to work with big data in the real world.

Perform Meaningful Big Data Analysis

Practise using industry tools including Amazon Web Services, Hadoop and more to set up big data architecture and work with big data sets. You'll learn methods to manipulate and organise data to perform meaningful analysis, and solve data problems.

Explore Diverse Machine Learning Techniques & Models

Building on your understanding of machine learning, you'll explore new techniques, concepts, and models and when to use them. Some of these topics include; recommender systems, machine learning pipelines, automation, deep learning, and machine learning as a data science product.

Unit 5

Professional Development

Data science is a diverse field, requiring a number of different skills. In order to provide value in the workplace, Data Scientists need some complementary knowledge to support their core skills. In this unit, you'll round out your learning experience by exploring important data science topics including Design Thinking, Agile, and more. Understanding these topics and developing skills around them will help you collaborate with others, communicate with key stakeholders, and integrate your capabilities into larger projects.

  • GitHub
  • Google Slides
Key Skills:
Agile
Data Science Portfolio Development
Design Thinking
Whiteboarding
Presentation & Communication

Learn Essential Skills for the Workplace

Successful Data Scientists are able to approach problems creatively, work with cross-functional teams, and clearly communicate key insights. You'll also build your presentation skills and learn how to capture the attention of a diverse audience to deliver key insights.

Explore Ethics for Data Science

Data is highly sensitive and needs to be handled appropriately and analysed correctly to provide accurate results. Therefore, Data Scientists have a responsibility to understand the ethics of their work. Through case studies you'll learn about the importance of ethics in data science, and explore key concepts that should be considered in data projects.

Prepare your Portfolio

Build your professional presence using GitHub to host your work and create a portfolio, and prepare to present yourself and your work to potential employers.

Career services staff

Expert Career Support, Designed For You

No two career paths look the same, and your career support shouldn't either. As a bootcamp graduate, you'll work 1:1 with a Career Advisor to build a strategy that fits you and your unique career goals.

Choose your path:

Career Advancer

Looking to level up in your current company

Career Changer

Ready to make the leap into something new

No matter your path, we'll help build a customised Career Roadmap to get you there.

Career Advancers

Reskilling or upskilling within an existing role

Identify internal growth opportunities that align with your upgraded skill set

Work with your Career Advisor to identify internal roles or promotion paths that align with your new skill set. Whether you're aiming for a formal role change or a more technical scope in your current job, we'll help you spot the opportunities and strategize how to pursue them.

Reframe your resume and online presence to reflect your evolving career story

Together, you'll update your resume, LinkedIn, and internal profiles to reflect your evolving career story. Learn how to position your new skills and past achievements in a way that resonates with internal decision-makers and showcases your readiness for what's next.

Develop an internal networking plan to create visibility and mentorship

Develop a personalised internal networking plan to increase your visibility within your organisation. Get guidance on how to approach leaders, identify potential mentors, and build relationships that support your growth and open doors.

Practise internal career conversations with specialised mock interview practise

From pitching yourself for a new role to asking for a promotion, your Career Advisor will help you practise and refine your message. Through 1-on-1 mock sessions, you'll build the confidence to communicate your goals and value clearly in internal interviews and career development conversations.

Career Changers

Transitioning to a brand new career

Translate your past experience into a compelling narrative for your new role

Your experience is valuable. Learn how to translate your previous roles into a narrative that makes sense to employers in your target industry. We'll help you craft a compelling story that connects your past to your future, and shows hiring managers exactly why you're the right fit.

Tailor your resume and LinkedIn for your new target industry

Work together to update your resume and online presence to reflect the expectations of your target industry. From formatting and tone to highlighting transferable skills, your dedicated Career Advisor will help ensure you stand out in a competitive job market.

Build a tailored job search strategy designed around your timeline and bandwidth

Receive a job search plan tailored to your timeline, bandwidth, and priorities. Whether you need to job hunt on nights and weekends or take a phased approach, your Career Advisor will help you stay focused, organised, and accountable, without burning out.

Practise behavioural and technical interviews with mock interview sessions

From “Tell me about yourself” to technical whiteboarding, we've got you covered. You'll rehearse 1-on-1 with your Career Advisor to gain confidence, refine your responses, and prepare for the interviews that matter most in your new field.

What Our Graduates Are Saying

Daria Aza

Daria Aza

Associate Data Analyst at Manulife

The most valuable skills I learned are related to time management and being resourceful. I can now understand the root of any problem on the fly and quickly find a solution for it, even if it involves learning new things rapidly to complete the task. . . .

I have my first real job in the industry and I'm applying everything I've learned at BrainStation!

Read Full Testimonial
Tom Keith

Tom Keith

Data Scientist at Bell

The highlights were the skills learned, projects completed, and confidence gained to start a new career in data along with being surrounded by such amazing like-minded peers is very inspiring and motivating. . . Visit the campus on Demo Day and witness for yourself what is possible with the programme. The passion the students have for their projects is inspiring.

Read Full Testimonial
Hannah Cheng

Hannah Cheng

Data Scientist at EllisDon

I really appreciated the Instructors' patience and expertise in helping the students get through a steep learning curve. Especially our Associate Instructor. . . he created a really a great learning experience and spent extra hours to help us with our capstone projects. . . .

BrainStation provided me with the essential programming skills and a strong foundation in basic data science theories and knowledge. Furthermore, I was given clear directions on how to position myself strategically during the job hunt process.

Read Full Testimonial

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