Start Date:10 October, 2022

Duration: 6 months, online (excl. onboarding)

Time Commitment: +-15-20 hours per week

Note:Limited places available

Start Date:

10 October, 2022

Duration:

6 months, online

(excl. onboarding)

Time Commitment:

+/- 15 - 20 hours

per week

places_icon

Note:

Limited places available.

Start Date:10 October 2022

Duration: 6 months, online (excl. onboarding)

Time Commitment: +-15-20 hours per week

Note: Only 30 places available

"Thanks to this programme, I’ve learned a wide range of concepts from data modelling to ethics to business functionality. Every day in this programme was a win for me – it’s the best decision I’ve ever made."

Kilian Brauchle
CEO
My Tech

Career Accelerators are a launchpad for digital economy careers

Created by a world-class university in collaboration with industry leaders, this career accelerator aims to fast track your career in Data Analysis.

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Career-focused education designed by a world-leading university and industry leaders

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Digital-first flexible learning experience for the modern learner

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Holistic career development, addressing critical factors for career growth

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Career coaching, mentorship opportunities and ongoing support

A unique educational collaboration that prepares you to solve real-world problems

This LSE programme is designed in collaboration with top tech companies, employers and recruiters to ensure outcomes align with industry demand.

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Tech Industry Partners

Provide tools and technologies, and give input into course design

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Employer Partners

Lead course project design, and offer exposure to internships and employment opportunities

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Recruitment Partners

Offer career masterclasses, coaching and mentorship, and exposure to job openings

A unique educational collaboration that prepares you to solve real-world problems

This LSE programme is designed in collaboration with top tech companies, employers and recruiters to ensure outcomes align with industry demand.

Tech Industry Partners

Provide tools and technologies, and give input into course design.

Employer Partners

Lead course project design, and offer exposure to internships and employment opportunities.

Recruitment Partners

Offer career masterclasses, coaching and mentorship, and exposure to job openings.

This is career-focused education that delivers outcomes employers are looking for

20M

Job capacity for roles in data analysis, AI and machine learning is estimated to increase by 20 million by 2025.1

skills

Along with tech adoption in the workplace, the need for people with strong social and emotional skills will rise rapidly.2

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The mismatch between supply and demand of digital talent is forecast to cost G20 countries $11.5tn in lost GDP growth by 2030.3

"There’s a significant gap between the demand for talent who can make data-based decisions, and the availability of graduates and working professionals with these skills. By adding our tech industry expertise to LSE’s wealth of knowledge, we believe this Career Accelerator can help more people to have data based conversations in any role."

Andy Cotgreave

Andy Cotgreave,
Senior Director, Tableau

On this programme, you’ll learn to:

  • Collect and manage data effectively using best practice data-wrangling techniques

  • Drive business value by analysing, designing and utilising proven data analytics approaches

  • Use the power of storytelling to communicate insights through engaging data visualisations and dashboards

  • Critically analyse and address the ethical and social issues of data analysis

  • Build a project-based portfolio as proof of your technical abilities and their relevance to employers

  • Work with a Success Team to demonstrate self-reflection that improves career outcomes

  • Develop a multi-disciplinary approach to problem solving through remote collaboration with a diverse peer group

You’ll learn from leading minds in the field

Dr James Abdey

Dr James Abdey

Associate Professorial Lecturer in Statistics at LSE

Programme Coordinator & Course Convenor

Dr Christine Yuen

Dr Christine Yuen

Assistant Professorial Lecturer in Statistics at LSE

Course Convenor

Dr Milena Tsvetkova

Dr Milena Tsvetkova

Assistant Professor of Computational Social Science at LSE

Course Convenor

Dr Blake Miller

Dr Blake Miller

Assistant Professor of Computational Social Science at LSE

Course Convenor

Dr Milt Mavrakakis

Dr Milt Mavrakakis

Guest Lecturer in Statistics at LSE

Course Convenor

Andy Cotgreave

Andy Cotgreave

Senior Director at Tableau

Industry Experts

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Marco Iannone

Founder & CEO at Retechnica

Industry Experts

Mai Nakane

Mai Nakane

Director of Technical Product Management at Galvanize

Industry Experts

Built for those seeking high-growth career opportunities in data analytics

Career Starters

Start a career as a Data Analyst, with a portfolio of work and key on-the-job competencies

Career Changers

Make a career change and switch to a high-growth path in Data Analysis

Career Advancers

Formalise or advance your knowledge and skills in the field of Data Analytics

A combination of careers-based bootcamp education and the value only a world-class university can offer

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Earn a University Certificate

Learn from esteemed faculty and earn a certificate from The London School of Economics and Political Science (LSE).

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Build a Portfolio of Evidence with Tech Employers

Participate in current, real-world projects with leading global technology consultancy, Thoughtworks, and build a portfolio of evidence that employers value today.

Get holistic career support with coaching, mentorship and more

Realise your professional potential with ongoing support from a dedicated success team, committed to helping you achieve the outcomes you seek, both during and after the programme.

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apply

Land career opportunities in Data Analysis

Find employment opportunities in the field with the FourthRev employer partner network, or unlock new opportunities at your existing place of work.

Experience a curriculum that matches the pace of change

Instead of using the same activities on repeat, career accelerators engage you in only the most relevant, up-to-date content and projects to build a unique portfolio that’s truly industry relevant.

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Learn from leading minds in real-time

Engage in live learning opportunities from industry experts and leading faculty of the LSE; attend live masterclasses; and receive personalised virtual support from a team dedicated to your success—in real-time.

Get the brochure

Complete the form below and receive more information on this online LSE Data Analytics Career Accelerator. You will be redirected to the programme brochure on submission.

FAQS

  • What is a Career Accelerator and how is it different from other online programmes?

    Career Accelerators are a launchpad for careers in the digital economy. Each online programme combines the best of career-focused bootcamp learning with the educational excellence and rigour of university education. They deliver technical, human and applied skills; practical project experience with real-world employers; career coaching and mentorship, and the opportunity to earn a certificate from a leading university.

  • How much does this programme cost?

    The tuition fee for this 6-month programme is £7,995. Flexible payment plans are available.

  • Do I need to attend classes at certain times?

    The majority of learning requirements can be completed asynchronously, in your own time. While attendance is strongly recommended for live webinar sessions and masterclasses, recordings will be made available at the conclusion of each session.

  • How is the programme delivered?

    The programme is delivered entirely online through a virtual learning environment which is accessible from your personal computer or smartphone. Your personal Success Manager will be available to offer support and guide you through your learning journey. 

  • What are the entry requirements?

    Applicants should have an acceptable undergraduate degree, and be able to demonstrate foundational quantitative technical skills, either through relevant educational or employment experience, or by passing a technical test. English language proficiency is a prerequisite. Those who meet the initial requirements must then complete an admissions interview to further demonstrate competency and aptitude, as well as attitudinal fit appropriate to the programme’s intensive nature.

  • What is the role of the industry and employer partners?

    These partners add industry experience to coursework development, share tech expertise and play a direct role in the portfolio project design. Through their insight into the ever-changing tech landscape in the digital economy, they ensure students develop skills aligned to workplace demand, offer exposure to employer networks and open access to job opportunities.

1Microsoft 2020

2McKinsey

3Accenture

Contact us:

lseonline@fourthrev.com

LSE Data Analytics Career Accelerator

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