Programme brochure

Data Analytics
Career Accelerator

Stand out with the technical data analysis skills and problem-solving competencies desired by top employers

If you need help deciding whether this programme is well-suited to your experience and goals, you can check your eligibility with a short
self-assessment quiz.

A powerful combination of technical, business and human skills that meet workplace demand

A portfolio of work
to showcase your newfound skills and knowledge to employers

Career confidence and direction through 12 months of 1:1 Career Coaching to turn your ambitions into reality

A certificate from LSE
that recognises the high standard of learning and helps you stand out in
the job market

The LSE Data Analytics Career Accelerator was my gateway to a more fulfilling career. It aligned perfectly with my technical interests, providing the structured approach and support I needed to transition from project management to data analytics. Now, I'm engaged in challenging work that I love.

–  James Stuart, Career Accelerator Graduate and former project manager, now Data Analyst at EasyJet

Not sure yet? Start with a quick consultation with an Advisor.

Key information

Programme length

6 months, online
(excl. 2 weeks
orientation)

Start Date

27 April 2026
(Apply by 20 April 2026)

Time commitment

20 hours per week,
6 months online learning
(plus break weeks)

Price

£8,850 £7,995 Upfront*

*Price includes 1:1 career coaching. Flexible payment options & StepEx available. LSE alumni qualify for 20% off the full £8,850 programme fee.

What
you’ll gain

Whether you’re looking to switch to a technical analyst role, formalise your existing knowledge of data analytics, or kick-start your career as a data analyst, this Career Accelerator aims to equip you with the tools you need to succeed, fast. 

Job-ready knowledge and capabilities to drive business decisions that make an impact.

A portfolio of work through ongoing practical projects and a live business project that reflects the skills you’ll need as a data analyst.

Elevated employability and professional image with executive coaching and a globally-recognised LSE certificate.

Structured support and a team dedicated to helping you achieve your career goals.

Exclusive access to transition to a Postgraduate Certificate in Data Analytics from LSE —a credit-bearing, Level 7 qualification taught at the same level of learning as a Master’s degree.

Career Milestone Guarantee | Includes up to 12 months of 1:1 career coaching to ensure you reach your agreed milestone*.

View an example of an eye-catching portfolio — built by a previous Career Accelerator Graduate — as a result of the real-world experience gained on this programme.

I decided to [learn with LSE] because of the rigour of the content and the depths to which all of the skills were explored, plus the opportunity to have an Employer Project and the career coaching and success management aspects.

– Elodie Hudson,
Career Accelerator Graduate

Every day in this programme was a win for me – it’s the best decision I’ve ever made. The depth of teaching and material encompasses the breadth of a data analytics business. I’ve never been in a course that goes so deep that it covers so much of the life and challenges faced by a data analyst.

– Kilian Brauchle,
Career Accelerator Graduate

Career Milestone Guarantee

We're confident the programme will translate into tangible career progress—so confident that we put it in writing. Every learner gets personalised coaching until they achieve a meaningful milestone.

How it works

  • 12 months of 1-to-1 coaching are already included (6 months during the accelerator + 6 months after you graduate).
  • Complete the programme and follow the step-by-step Career Services Playbook (CV upgrade, portfolio polishing, application cadence, mock interviews).

Your milestones

If within 12 months you haven’t achieved one of these:

  • Secured a new role
  • Earned a promotion or salary increase
  • Delivered a paid consulting engagement (or an agreed alternative)

…we’ll extend your 1:1 coaching for another 6 months — free.

Why we can guarantee it

Our graduates’ success rates give us the confidence to promise this:
Guaranteed results — or we keep coaching you until you get them.

Browse our playlist of learner success stories to hear how the LSE Data Analytics Career Accelerator helped previous learners get promoted, move into new industries, earn higher salaries and more.

We don’t just teach you skills —
we stand behind your career outcome.

Full eligibility requirements: complete coursework, submit all portfolio projects, attend the scheduled career-coaching sessions, and document job-search activity. See the Terms and Conditions for details.

Real-world results

Our learners are going further in their careers, faster; they’re launching new careers, moving into technical roles and building high-growth, sustainable careers.

87.5%

of learners achieve their desired career goal within six months of completing their Career Accelerator.*

*Based on results from The FourthRev 2023/24 Completers’ Survey

Curriculum breakdown

Overview

This online Career Accelerator from The London School of Economics and Political Science (LSE) aims to equip working professionals and career starters with the knowledge they need to lead critical, data-backed decision-making in organisations across industries. Developed by LSE faculty and in collaboration with technology leaders and industry employers, this programme will introduce you to the core concepts of data analysis and will help you to develop data-handling capabilities across enterprise databases and tools.

Over six months, you’ll develop fundamental knowledge, skills and applied project experience in data analytics. You’ll build coding skills in the high-demand data programming languages Python and R, and you’ll practise their application to data projects in real business scenarios. You’ll also develop your communication skills, including data visualisation, to ensure your analysis and insights support actionable business decisions.

Course 1

Data analytics for business

By the end of this course you’ll be able to:

Identify, source and perform basic cleansing of data from various, relevant sources to support required analysis processes.

Conduct exploratory and descriptive analytics.

Establish and utilise databases to support data management and analysis.

Prepare relevant insights to support business decision-making, including identifying areas for further analysis and exploration.

Effectively communicate justified, relevant and useful insights to critical business stakeholders.

Identify appropriate opportunities for business value through data analytics processes.

The first course in this Career Accelerator is designed to help start you on your data analysis journey, equipping you with critical skills and knowledge to effectively analyse data and communicate insights. Throughout the course, you’ll learn to conduct exploratory and descriptive analytics, prepare insights to facilitate business decision-making and identify opportunities for business value through data analytics processes. Leveraging tools like Microsoft Excel, PostgreSQL and Tableau, you’ll gain proficiency in performing descriptive analytics on large datasets, creating visualisations for various business functions and building operational dashboards to drive insights and decisions. Finally, the course addresses ethical considerations in data analysis, covering topics such as handling sensitive data, GDPR compliance and accessibility.

Module breakdown:

Week 1: Using data analytics to add value to the business

Week 2: Excel for data analysis

Week 3: Fundamentals of Tableau and data visualisation

Week 4: Advanced Tableau and dashboard design

Week 5: SQL and databases for business analysis

Week 6: Communicating insights to the business

Watch a short video from week 1 with Andy Cotgreave, Senior Director
of Tableau, on the importance of business context in data analytics.

Tools/languages covered in Course 1:

Assignment:

Exploratory analysis and presenting insights

This assignment starts with a business scenario. To address the challenges presented in the scenario, you’ll
use SQL and Excel to identify insights through data analysis. You’ll help key stakeholders make data-informed
decisions by creating a Tableau dashboard to describe your findings and to communicate insights.

Course 2

Data analytics using Python

By the end of this course you’ll be able to:

Utilise Python to collect and import large amounts of complex data through various approaches, including web scraping techniques and APIs.

Utilise Python to wrangle data for effective analysis.

Complete advanced analytical processes to determine critical business insights from data sets.

Prepare comprehensive and complex visualisations to gather insights, study trends and present insights to support critical business decisions.

Articulate and justify approaches, insights and recommendations to inform business strategies.

Course 2 is designed to enhance your data analysis capabilities through Python, a widely-used programming language. Python empowers analysts with its robust libraries and tools for advanced data manipulation, facilitating the discovery of deeper insights, automation of processes and development of sophisticated data models with greater efficiency. In this course, you’ll delve into more advanced analysis techniques to diagnose potential causes of insights, optimise your approaches and code for efficiency and reproducibility, and implement best practices for versioning and collaboration. You’ll also learn to retrieve data directly from the web, all while utilising Python. Moreover, you’ll translate insights into actionable recommendations and practise presenting them to stakeholders. By working with real-world data, including addressing a problem encountered by the National Health Service (NHS), you’ll harness Python to create visualisations, identify trends and extract meaningful insights to guide decision making. This course is a pivotal step in elevating your proficiency in data analysis and preparing you for real-world applications in various industries.

Module breakdown:

Week 1: Introduction to Python programming

Week 2: Getting started with Pandas

Week 3: Data wrangling with Pandas

Week 4: Data visualisation with Python

Week 5: Data scraping with Python

Week 6: Making recommendations to the business

Watch a snippet of a Masterclass from Course 2 on Python for data analysis with Dr Milena Tsvetkova, Assistant Professor of Computational Social Science at LSE.

Tools/languages covered in Course 2:

Assignment:

Diagnostic analysis with Python

This assignment requires you to diagnose the cause of a problem faced in a business scenario. You’ll use Python
to explore and visualise the data, determine contributing factors to trends, and uncover insights. You’ll compile the
key findings from your analysis to present back to the stakeholders.

Course 3

Advanced analytics
for organisational impact

By the end of this course you’ll be able to:

Apply predictive models to transform insights into actionable strategies to support business objectives.

Establish methodologies and develop a culture conducive to effective and ethical data-driven business practice.

Prepare advanced data visualisations and data stories to communicate compelling, guided narratives to effectively support business decision-making.

Solve business problems and justify strategic recommendations that leverage best practice and advanced data-analytic approaches.

Course 3 aims to equip you with the skills to use advanced techniques in data analytics for concrete outcomes. By harnessing the power of Python and R, you’ll be able to apply methods like time series analysis for forecasting future trends and decision trees for strategic decision-making. You’ll tackle real business problems and learn to justify strategic recommendations using best practices and advanced data-analytic techniques. You’ll delve into regression analysis, which is crucial for understanding relationships between variables and predicting trends – and an invaluable tool for market forecasting and risk assessment. Classification will be another key focus, enabling you to categorise data effectively, which is essential in applications like customer segmentation and fraud detection. Finally, you’ll explore clustering methods, perfect for uncovering hidden patterns in data, a technique often used in market analysis and customer insight discovery.

Module breakdown:

Week 1: Predicting business outcomes with regression

Week 2: Introduction to supervised learning: Logistic regression and decision trees

Week 3: Predicting outcomes using clustering

Week 4: Sentiment analysis with natural language processing

Week 5: Getting started with using R to visualise data

Week 6: Making recommendations to the business

Watch a demo video from week 5 on data manipulation with R, featuring Dr Milt Mavrakakis Guest Lecturer in Statistics at LSE, and one of your Course Convenors.

Tools/languages covered in Course 3:

Assignment:

Predicting future outcomes

This assignment presents a challenging business scenario looking at predicting future outcomes. You’ll use
Python and R to perform the exploratory data analysis, after which you’ll apply advanced algorithmic and
statistical modelling techniques to predict future outcomes for the business. Based on the analysis, you’ll
make recommendations and present your findings.

Employer Project

Data Analytics
Employer Partner Project

After completing the third course, you’ll be introduced to the Employer Partner and briefed on the Employer Project. This is your opportunity to work on a live business challenge while you collaborate with a team of peers, apply your newly acquired knowledge and network with industry employers.

The Employer Project is:

Unique for each presentation of the programme
Your personal experience of this Career Accelerator will be unique because the Employer Partner you work with is specific to your intake, as is the project.

Based on genuine employer needs and interests 
In some cases, you’ll address a challenge the employer currently faces and you might work with the company’s own data. You may also be presented with a client scenario and a problem to solve.

Designed to reflect the practical skills required in a data analyst role 
Practise the methods and techniques used for analysis, the quality and format of project deliverables and the communication skills necessary for the final presentation.

The highlights of taking the programme were the practical aspects of it – so having that direct industry input from FourthRev and being able to work on an actual Employer Project. Being able to show that on a CV and be able to talk about it in job interviews later was definitely invaluable

–  Megan, Career Accelerator Graduate

The Employer Project is a programme highlight for many of our learners. It serves as a powerful showcase of what you’re capable of and has helped our learners impress employers in interviews, just like Megan did.

Become an AI-ready
data analyst

AI is reshaping how data analysts work, from how insights are generated to how they're communicated. This Career Accelerator ensures you graduate not just as a skilled data analyst, but as one who can work alongside AI tools confidently, critically and responsibly.

What this means for your career:

  • Confident AI tool use – From evaluating generative AI critically to working with LLMs and prompt engineering, you'll build AI skills you can apply with confidence in the workplace.
  • Ethical, responsible practice – Understand AI governance, bias and data privacy so you can use AI with the scrutiny employers expect.
  • Future-facing awareness – Stay ahead of how AI is reshaping the analyst's role, supported by a practical playbook for integrating AI into real analytics workflows.

How it's delivered

Built into the curriculum: As you advance through the programme, you'll explore generative AI, transformers, LLMs and prompt engineering – building AI fluency at the point where your technical skills are ready to support it, and supported by a practical playbook for applying AI to real analytics workflows.

Live expert Masterclasses: Two dedicated sessions bring in leading practitioners at the forefront of AI and data analytics, offering real-world perspective on where AI and the analyst's role meet today.

Previous Masterclasses have included:

Introduction to GenAI in Data Analytics by Leo Tomè, Digital Transformation & AI Consultant

An exploration of how generative AI is changing the analyst's toolkit – what it can and can't do – and how to approach it with the critical eye that today's employers expect

Using AI for Data Visualisation by Andy Cotgreave, Senior Director at Tableau

A hands-on look at how AI is transforming the way analysts visualise and communicate data, including AI-powered techniques for surfacing insights and telling more compelling data stories.

Masterclass topics are updated regularly to reflect the latest AI developments, tools and industry applications.

Note: Scheduled breaks for holidays may extend the calendar end date beyond six months, though your total active learning time remains six months in full.

Enrol in the LSE Data Analytics Career Accelerator before applications close.

Real Projects. Real Impact.

From day one, you’ll dive into an employer-designed data challenge that reflects the kind of problems today’s analysts and business strategists are hired to solve—whether that’s modelling market reactions, optimising subscription growth, or automating lending operations. Over six weeks, you’ll build a polished, portfolio-ready solution and present it directly to stakeholders at your partner company.

You'll complete one real-world project during the programme, developed in collaboration with an industry partner. Below are examples of briefs learners can expect to work on.

VP Analytics

Context:
A boutique FinTech consultancy needed sharper insights into how markets respond to quarterly earnings.

Your deliverable:
A predictive dashboard and model analysing stock price movement in response to earnings announcements from NVIDIA, Apple, and Google, used to inform smarter investment strategy

Freddie’s Flowers

Context:
This fast-growing subscription service wanted to boost retention and uncover upsell potential.

Your deliverable:
A customer lifetime value (LTV) model, with supporting segmentation analysis and data-backed recommendations to improve loyalty and average revenue per user (ARPU).

Lendable

Context:
A fintech lender providing capital to alternative lenders in emerging markets needed to modernise its manual reporting process.

Your deliverable:
Restructure data pipelines, automate financial reporting, evaluate cloud data warehouse options, and build dashboards to monitor portfolio performance, exposure, and data quality

Projects and industry partners may vary by cohort, reflecting availability and evolving programme content designed to stay aligned with real employer needs.

Admissions criteria

To qualify for this programme applicants should:

be over the age of 18 years

be proficient in
English language

have an undergraduate degree

or be able to demonstrate foundational quantitative skills, either through relevant educational or employment experience.

The minimum technical requirement to take this programme is a basic understanding of Microsoft Excel, ideally with experience in using Pivot Tables. No previous technical experience other than Microsoft Excel is necessary as this programme starts with the fundamentals before moving on to more advanced topics.

If you haven’t studied data analytics or a unit of quantitative studies (e.g. maths/accounting/
economics/engineering or a research-focused subject like psychology) in a university context or had exposure to data skills at work (minimum three years experience), you can still gain entry into the programme via our aptitude test. This test will help to ensure that you’ll be able to manage the level of course content in the programme. If you’re unsure you can chat to an Enrolment Advisor or alternatively, check your eligibility yourself with a short self-assessment quiz.

Now postgraduate certified

Analytics Career Accelerator qualify for the Postgraduate Certificate in Data Analytics from LSE —a credit-bearing, Level 7 qualification taught at the same level of learning as a Master’s degree

The time you've invested in the Career Accelerator will contribute to your completion of the postgraduate certificate. Speak to an advisor to learn more.

This Career Accelerator is certified by the United Kingdom Continuing Professional Development (CPD) Certification Service.

CPD accreditation is recognised in over 100 countries and by leading professional bodies and institutions. It ensures high-quality learning that keeps skills up to date, enhances professional credibility and increases career advancement opportunities.

Expert teaching team
behind the curriculum

This programme brings together a team of academic and industry subject matter experts to design, build and deliver a curriculum that is current and relevant. You’ll have access to a Facilitator with industry expertise to guide your learning during the programme.

University Faculty

The content of every Career Accelerator is crafted by a team of expert faculty, led by a Programme Coordinator. This academic team is responsible for upholding the quality and rigour of university education through programme co-design, coursework creation and learner assessment.

Industry Partners

Our technology and Employer Partners are responsible for ensuring that the knowledge you gain translates into relevant, practical abilities that get you hired. In collaboration with faculty, these industry experts contribute to course design with practical business experience, real-world scenarios and insights from their professional practice.

LSE Faculty

LSE faculty from the Departments of Methodology and Statistics – home to internationally respected experts in statistics, data and computational social science and methodological development – deliver Masterclasses and establish the foundational knowledge.

Programme Coordinator

Dr James Abdey

Associate Professorial Lecturer in Statistics at LSE

Course Convenors

Dr Christine Yuen

Assistant Professorial Lecturer in Statistics at LSE

Dr Milena Tsvetkova

Assistant Professor of Computational Social Science at LSE

Dr Blake Miller

Assistant Professor of Computational Social Science at LSE

Dr Milt Mavrakakis

Guest Lecturer in Statistics at LSE

Industry Experts

These industry pros build on the subject expertise of faculty to ensure outcomes align with the tech fluency and practical skills demanded by top companies.

Andy Cotgreave

Senior Director at Tableau

Marco Iannone

Founder & CEO
at Retechnica

Mai Nakane

Director of Technical Product Management, Galvanize

Dr Paul Vella

Data Analytics & Martech
at Big4 Holiday

Kelly Gauthier

Founder and Managing Director at Gauthier Search

Nathan Damm

Data Science Leader,  Former Manager at
NTT Ltd.

By collaborating with industry leaders and employers, we not only integrate industry insight and experience into coursework, we also ensure our programme outcomes align with expectations of work-ready abilities and we help professionals develop those in-demand skills.

–  Wim A Van der Stede, Dean, LSE Extended Education

The Career
Accelerator difference

Career Accelerators are challenging online programmes
co-designed with top universities and industry leaders to
fast-track your progression in a digital career. No matter the
subject, every Career Accelerator combines:

The technical skills needed to perform in real-world roles

The understanding necessary to translate those skills into
meaningful business value

The human skills crucial for gaining and retaining jobs

The reflective practices essential for ongoing growth

To support your continued career success in the digital economy, this programme focuses on equipping you with the tools needed to solve problems, reflect on your work and effectively acquire new skills. You’ll leave the programme with the critical-thinking skills and growth mindset shaped by a world-class university, along with a portfolio that demonstrates the technical abilities you need to excel in high-growth roles.

Our promise

If you’re not convinced after the first few weeks, we’ll refund
you in full.

Save with an upfront payment or choose from the flexible payment plans* – free of fees and interest.

If we don’t think a programme
is right for you, we’ll provide
honest feedback.

*Ask an Enrolment Advisor about our flexible payment plans*.

A learning model built to fast-track your career

Complete real-world projects
This Career Accelerator uses a project-based approach to learning. On the programme, you’ll have the opportunity to develop your skills and knowledge through practical assignments based on real-world scenarios and data. You’ll prove your skills in the last six weeks on the Employer Project. Together with a small group of your peers, you'll create a solution to a challenge set by a real company, get their feedback along the way and present your recommendations directly to the business.

Stay on track with structured (but flexible) learning

The programme is delivered entirely online through a virtual learning environment which is accessible from your personal computer or smartphone.

The majority of your learning will happen asynchronously, allowing you to manage your life around weekly deadlines and to work through the course material when it suits you. While attendance is strongly recommended for live webinar sessions and Masterclasses, recordings will be made available at the conclusion of each session.

Live classes take place on weekdays (Monday to Friday), usually during UK lunch hours or evenings. Recordings are available if you can’t join live.

Tools and techniques are demonstrated in video tutorials, complex concepts are visualised with diagrams and interactive activities provide opportunities to test your understanding with real-time feedback.

The required reading for the programme is self-paced, and your Facilitator will provide formative feedback to support you through your journey.

Collaborate with a network of peers and experts
The live weekly classes will give you the chance to engage in group learning with a network of your peers, ask the Facilitator questions and better understand how your learning connects to industry roles. A selection of additional live sessions – such as Masterclasses and career coaching – will also be made available to you.

Diverse Content

Masterclasses

Career Coaching

Practical Projects

Peer Community

Knowledge Checks

Formative Feedback

Project-based Learning

You can learn more about how a Career Accelerator works here.

Programme structure

Your six-month Career Accelerator begins with two weeks of Orientation, during which you’ll be introduced to your support team. Being intentional about your goals is the best way to make them happen, so you’ll meet your Success Manager and Career Coach before the programme starts. They’ll help you map out a tailored approach to your next six months that considers your aspirations, limitations and biggest opportunities. You’ll also get access to the digital learning environment and onboarding materials, and while you’re settling in you'll have the opportunity to connect with fellow learners and plan your studies.

The programme is made up of three courses and a final Employer Project. As you progress through each course, you’ll engage with a variety of media that bring to life what you learn. You’ll be asked to commit 15 to 20 hours of studying every week, but how you fit that into your life is up to you. Your Success Manager will work with you to design a personalised plan to achieve your goals – plus, they’ll keep you on track and accountable.

You’ll finish with the Employer Project, a live business challenge that immerses you in a real work setting. You’ll apply the full range of your capabilities to develop workable solutions to a business challenge and get direct feedback from the company that set the project. It’s an excellent opportunity to put your new skills to the test and build a portfolio of evidence to showcase your competencies that will differentiate you from your peers as you make your next career move.

Upon successful completion of the programme, you’ll not only leave with practical documentation of your work but also a Certificate of Competence from The London School of Economics and Political Science (LSE). Your certificate is proof that you’ve undergone rigorous training to develop your new knowledge and skills. Adding this university accolade to your CV ensures you get the recognition you deserve.

Note: Scheduled breaks for public holidays may extend the calendar end date beyond six months, though your total active learning time remains six months in full.

A customised support network

During this programme you’ll receive proactive support every step of the way to ensure you fit learning into your life and achieve your unique career goals. You’ll be introduced to your success team before the programme even starts. Facilitators will also engage with you throughout your learning and will be on hand for course material support.

Success Manager

Your Success Manager is focused on your particular professional goals and prioritises you and your needs. You’ll develop a meaningful relationship with this person through ongoing 1:1 sessions throughout the programme. This powerful learning partner will find out what you’re all about, work with you to define and make progress towards your goals and proactively look for ways to help you be successful.

Career Coach

Through 1:1 sessions as well as interactive Masterclasses, your Career Coach works with you in an ongoing partnership to identify and develop the employability traits and personal skills needed to thrive in the industry. As you progress through the Accelerator, your coach will help you build the confidence to achieve your goals and guide you through the key actions needed to reach them. They’ll help you understand how to build a network that supports you now and in the future.

Course Facilitator

Using their subject-matter knowledge and industry experience, your Course Facilitator will guide you through content-related coursework challenges. Your Facilitator will support you in understanding key topics so you feel motivated throughout your learning journey, and is responsible for grading and giving feedback on your assignment submissions. You can engage with your Facilitator within the Student Community.

I would 100% recommend doing it if you want to learn about data analytics, and the fact that you have the structure in place to get you through it, through your Success Manager and your Facilitators..It's just about putting the time in [...].and then you know you'll get through it 100%. You won't fail. It's not something that is structured in a way that you won't be able to do it. The learning is really well put together with the structure in place to support you through it

–  Bhupinder, Career Accelerator Graduate

Application process:

How to apply

There are two parts to this application: first we’ll need to see if this programme will help you reach your goals. You can do this by taking a 2-minute survey and/or speaking to one of our Enrolment Advisors.

Next, you’ll need to submit a few documents. Then, it only takes a few days to confirm if you’ll be on your way to studying with LSE!

Check your eligibility

Complete a short survey to self-assess if this programme is a fit for you. If your goals align with the outcomes of the programme, you'll be offered the opportunity to start your application immediately.

Speak to an Enrolment Advisor

This is a required step before you enrol; our advisors would like to understand your career goals and will give you feedback on your eligibility survey responses –
if you completed it. We want to make sure this Career Accelerator will give you the results you’re looking for.

Start your application online

With all your documents ready, it takes just 10 minutes.

Documents include your academic transcript(s) OR a one-page
CV demonstrating relevant work experience.
Don’t have these? Don’t worry, you can chat to an Enrolment Advisor about completing a 30-minute aptitude test. Please book a call
to set this up.

LSE review process

You’ll find out in 5 working days if you’ll be joining the next cohort.

Study with LSE

Congratulations, you’re officially an LSE learner!

Powerful collaborations for
the digital economy

Career Accelerators are driven by the excellence of university education, built in collaboration with tech industry leaders, and guided by Employer Partners to develop the technical and human competencies valued by the world’s most successful companies.

About LSE

LSE is a world-leading university specialising in social sciences education and research, with an aim to understand the causes of things for the betterment of society. By extending their reach through online programmes, LSE makes their world-class teaching and research accessible to a global audience, and equips professionals with the knowledge and skills to advance in an ever-changing world. Their internationally diverse community is composed of people and ideas that transform the world.

About FourthRev

FourthRev is on a mission to transform career paths in the digital economy. As creators of the Career Accelerator learning model, FourthRev brings universities, tech leaders and employers together to design, build and deliver online programmes in high-demand subject areas. These Career Accelerators combine career-focused employability outcomes with the rigour, excellence and recognition of university education.

About Tableau

Tableau helps people transform data into actionable insights. Through its visual analytics platform, users can explore analytics, build dashboards and perform ad hoc analyses in just a few clicks. From global enterprises to early-stage startups and small businesses, people everywhere use Tableau to see and understand their data.

About GitHub

GitHub is where the world builds software. Millions of developers and companies build, ship and maintain their software on GitHub – the largest and most advanced development platform in the world.

About Robert Walters

Robert Walters is a global, specialist recruitment consultancy
trusted by businesses across the globe to identify and secure in-demand professionals, and to help build the careers of the world’s leading executives.

About Thoughtworks

Thoughtworks is a leading global technology consultancy that integrates strategy, design and software engineering to enable enterprises and technology disruptors across the globe to thrive
as modern digital businesses.

About Zoomo

Zoomo is the world’s leader in light electric vehicles (LEVs) and after-market servicing. Zoomo’s services include fleet management and delivery solutions, integrating vehicles, software, servicing and finance to provide an innovative end-to-end platform.

About Agent3

Agent3 is a global ABM consulting, services and technology agency with offices across the globe. Agent3’s unique team of ABM experts is inspired to make account-centric marketing the best practice for enterprise marketers everywhere.

About NVIDIA

NVIDIA is a global leader in accelerated computing. Since inventing the GPU in 1999, the company has driven innovation in computer graphics, sparked the growth of the PC gaming industry, and revolutionised modern AI and accelerated computing. Today, NVIDIA provides full-stack computing infrastructure that is reshaping industries and powering the era of industrial digitalisation.

About Vantage Point

Vantage Point is a global company focused on providing end-to-end data analytics as a service, helping organisations drive ROI through better decision-making. With operations and clients worldwide, their mission is to deliver value to organisations through analytics. Vantage’s team supports clients across industries – capturing, cleansing and integrating data to be modelled, visualised and monetised.

About GAEA AI

GAEA AI is a geotemporal AI company focused on building enterprise-grade AI applications with real-world impact. Its solutions help organisations across sectors explore historical trends, understand current patterns and forecast future outcomes with unprecedented speed and precision.

About Freddie’s Flowers

Freddie’s Flowers is one of the UK’s leading online florists, delivering seasonal arrangements through flexible subscriptions or one-off gifts. Its sustainable model ensures flowers are only grown to order, reducing waste and supporting a more eco-conscious supply chain.

About Lendable

Lendable.io is a fintech company providing capital to alternative lenders in emerging and frontier markets. They manage investment portfolios across regions, sectors and borrowers, tracking performance, risk, and compliance metrics.

Looking to upskill
your team?

Connect with an advisor about the benefits of this programme for your business.

For the first time, my studies are aligning with my day-to-day business – these are not just theoretical problems we’re covering. This is feeding into the success and growth of my business at an exponential rate.

–  Kilian Brauchle,
Career Accelerator Graduate

Go further in your career, faster.
Starting today

If you need help deciding whether this programme is well-suited to your experience and goals, you can check your eligibility with a short self-assessment quiz or chat to an Enrolment Advisor. 

Please note that places are limited.

Contact us

lseonline@fourthrev.com

Connect with us