Start Date:10 October, 2022
Duration: 6 months, online (excl. onboarding)
Time Commitment: +-15-20 hours per week
Note:Limited places available
30 January, 2023
6 months, online
(excl. onboarding)
+/- 15 - 20 hours
per week
Limited places available.
Start Date:30 January 2023
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
Created by a world-class university in collaboration with industry leaders, this career accelerator aims to fast track your career in Data Analysis.
Provide tools and technologies, and give input into course design
Lead course project design, and offer exposure to internships and employment opportunities
Offer career masterclasses, coaching and mentorship, and exposure to job openings
Provide tools and technologies, and give input into course design.
Lead course project design, and offer exposure to internships and employment opportunities.
Offer career masterclasses, coaching and mentorship, and exposure to job openings.
Job capacity for roles in data analysis, AI and machine learning is estimated to increase by 20 million by 2025.1
Along with tech adoption in the workplace, the need for people with strong social and emotional skills will rise rapidly.2
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,
Senior Director, Tableau
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
Associate Professorial Lecturer in Statistics at LSE
Assistant Professorial Lecturer in Statistics at LSE
Assistant Professor of Computational Social Science at LSE
Assistant Professor of Computational Social Science at LSE
Guest Lecturer in Statistics at LSE
Senior Director at Tableau
Founder & CEO at Retechnica
Director of Technical Product Management at Galvanize
Start a career as a Data Analyst, with a portfolio of work and key on-the-job competencies
Make a career change and switch to a high-growth path in Data Analysis
Formalise or advance your knowledge and skills in the field of Data Analytics
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.
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.
The tuition fee for this 6-month programme is £7,995. Flexible payment plans are available.
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.
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.
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.
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.