LSE Data Analytics Online Career Accelerator

Programme type
Online Career Accelerator
Location
Online
Start date
17 Aug 2026 - Open
Duration
6 months
Commitment
15 - 20 hours per week
Department
Department of Statistics, Department of Methodology

Overview

Few skills are as valuable right now as the ability to turn data into decisions, and the analysts who can do it – with AI as part of their toolkit – are the ones employers are competing for.

Designed by leading LSE faculty from the Departments of Methodology and Statistics and developed with input from top employers, the LSE Data Analytics Career Accelerator gives you the AI-enabled analytics skills, employer-backed projects, and career support you need to thrive in one of the fastest-growing job markets today.

Through project-based learning, you'll build practical skills across the full analytics toolkit, from data wrangling and visualisation to Python and advanced statistical techniques, working directly with the tools used in industry. AI is integrated into the analytical workflows and introduced as your technical skills develop, so you learn to direct it with judgment.

Throughout the programme, you're supported by a Career Coach, a Success Manager and Course Facilitators who guide both your progress and your next career move. And with the Career Milestone Guarantee, that support doesn't stop at graduation: if you haven't reached your agreed milestone – a new role, promotion or paid project – within 12 months, we'll extend your coaching for a further six months, free of charge.

Exploring a new career path for Elodie Hudson | LSE Data Analytics Career Accelerator Past Learner

Highlights of the LSE Data Analytics Career Accelerator | Hear from past learners

LSE Data Analytics Career Accelerator

What it's like to work with a Success Manager and Career Coach | Hear from past learners

Opening doors for Haroon Miah | LSE Data Analytics Career Accelerator Past Learner

A life-changing project for Megan Bilas | LSE Data Analytics Career Accelerator Past Learner

"This Programme Changed Me in a Way I Didn't Expect" | LSE Data Analytics Career Accelerator

Impact

Turn raw data into insights that drive better business decisions, using the tools and techniques employers are actively hiring for
Use AI to accelerate your analytical work, applying the judgement to interrogate what it produces and stand behind your conclusions
Tell compelling stories with data, presenting findings in a way that influences stakeholders and shapes strategy
Develop the ethical and analytical rigour to handle complex data challenges with confidence and credibility
Apply your expertise in a six-week Employer Project, partnering with a real organisation to solve a genuine business challenge and deliver stakeholder-ready data insights
Build a project-based portfolio that gives employers tangible evidence of your capabilities
Collaborate with peers from diverse professional backgrounds and practise solving business problems as a team
Access up to 12 months of 1:1 career coaching, and if you haven't hit your career milestone within that time, your coaching is extended for a further six months, free
Earn an LSE certificate that signals your capability to employers worldwide

Download Brochure

"I think it was really important [in my interview process] to be able to say, ‘I have these skills and here's how I've applied them’ – to be able to talk about specific projects that I've done."
Cara Evans, Changed careers from Digital Marketing Manager to Audience Research Executive

"What this programme really teaches you is that data is not just ones and zeros. It's not black and white. There's a lot you can do with it, and you can really shape it in a certain way, and it can be quite magical. Without this programme, I wouldn't have been taught that, and I would have put limits on what I believed was actually capable."
Jip Sanders, Advanced his career in product launch and strategy

"I could show from my portfolio that this is what we’ve been through. It’s so relevant and applicable to all industries. Working [on the Employer Project] can really speak to that process of going through a whole project – and it’s essentially what I’ve been doing in the job so far. I’ve nearly completed one project, and it felt exactly like the course."
Jon Minto, Changed careers from ski instructor to Data Analyst

Programme content

This online career accelerator is delivered over 6 months (excluding onboarding) with a time commitment of approximately 15 - 20 hours per week.

Programme structure

How you will learn

CPD certified

Who attends?

Career Changers – Looking to break into data analytics from a different field? Gain the technical expertise and employer-backed experience to make the transition.
Career Advancers – Want to future-proof your career? Upskill with data analytics knowledge to unlock new opportunities and higher earning potential.
Career Starters – Just starting out? Get job-ready faster with hands-on experience and a globally recognised LSE credential.

Why LSE?

LSE Online builds on our 125 year tradition of exploring the interconnected, multidisciplinary nature of our world that shape society and business globally. Since our inception in 1895, LSE has been a pioneer in providing courses for professional development. Our founding commitment is to understand the causes of things for the betterment of society. Never has this been a more important goal than in these times of unparalleled change. We provide you with the insights and skills to think critically and independently. To make the connections, see the greater picture. To shape the future by understanding today. Whatever stage you are in your life and career. Wherever you are in the world.

Faculty

This career accelerator is designed by LSE faculty in collaboration with industry experts and leading technology companies to align programme outcomes with industry demand.

Department overview

The Department of Statistics is home to internationally respected experts in statistics and data science. Maintaining and advancing our leading reputation for teaching and research is our top priority. The department offers a vibrant research environment with specialisms in four main areas: data science, probability in finance and insurance, social statistics, and time series and statistical learning.

The Department of Methodology is an internationally recognised centre of excellence in research and teaching in the area of social science research methodology. The disciplinary backgrounds of the staff include political science, statistics, sociology, social psychology, anthropology and criminology.

Fees and entry requirements

Tuition fees: £7,995 if you pay upfront.

Flexible payment options available. LSE alumni automatically qualify for a preferential rate of 20% off the programme fee.

Upon successful completion of this career accelerator, you’ll leave with a practical portfolio to demonstrate your technical expertise, and earn an LSE certificate as recognition of your critical knowledge and skills.

Entry requirements

To qualify for this programme, applicants should:

be over the age of 18 years
be proficient in English language
have a basic understanding of Microsoft Excel, ideally with experience in using Pivot Tables
have an undergraduate degree with a unit of quantitative studies (e.g. maths, accounting, economics, engineering or a research-focused subject like psychology)
or have a minimum of three years' professional work experience with exposure to data

If you haven't studied data analytics in a university context or had exposure to data skills at work, you can still gain entry into the programme via our aptitude test.

Book a call with an Enrolment Advisor – they can answer your questions and confirm whether this programme is right for you.

Apply now

Data Analytics Career Accelerator: Ask Me Anything Webinar

Eleonora Bacchi and Adrienn Szollosi have both taken the Data Analytics Career Accelerator and shared their experiences in this Ask Me Anything webinar.