Europe’s largest data science training programme. Five weeks of intensive, project-based training turning exceptional analytical PhDs and MScs into Data Scientists.
Data science has been hailed as the one of the ‘sexiest careers of the 21st century’ and as an analytical PhD or MSc you have all the skills and motivation you need to excel. It can be hard to get your first data science job if you have never worked in industry before, but Science to Data Science (S2DS) makes that transition quick and easy.
Join our five-week programme, work with a company on a commercial data science project and kick-start your data science career!
Unlike most data science courses, where the focus is on theoretical learning, S2DS is designed to help all participants to use their analytical experience and apply it to a real world problem with one of our partner companies. S2DS is available in London as well as online, via our Virtual programme. Both programmes are full time and consist of three important elements; pre-course preparation, real project work and professional development.
During the programme, you will work on a commercial data science problem, as part of a small team, with commercial partners ranging from exciting start-ups, SMEs, and charities, through to large multi-national companies. We will immerse you into data science from day one, making sure you learn more in a shorter time than you have ever done before – and your work during the programme will have a real impact on live products and services. You will have plenty of support throughout the 5-week programme including technical, teamwork focused and business mentors. The network you build will be with you for life, and you will have fun and make friends while accelerating your career!
Before the programme starts we will send all participants a curated list of online resources to help you prepare for the programme. In addition the Pivigo data science team have prepared a series of customised video lectures in key topics.
Before the programme starts we will send all participants a curated list of online resources to help you prepare for the programme. In addition the Pivigo data science team have prepared a series of customised video lectures in key topics.
Five weeks of full-time, company-led project work to be completed virtually via video calls, chat tools, and other online collaboration platforms. This work is to be completed during UK/EU business hours.
For more information please refer to our FAQs page or alternatively you may contact us directly.
Science to Data Science is about bringing the best and brightest talent together to solve problems and have fun. The S2DS alumni network now includes over 600 Fellows, from over 60 nationalities and more than 20 different disciplinary backgrounds. This group of alumni are at various stages of their data science careers in exciting companies worldwide. They form a strong and close-knit network, which will be invaluable to you as you progress in the industry.
Every business can become a project partner with Pivigo on our data science programme Science to Data Science. This is an opportunity for those who have data science capabilities and those interested in getting started. Whether a business is ready with a project or just starting on their data science exploration, Science to Data Science will connect them with the right data science team to commence or progress through their data science journey. Maybe you are looking to hire smart data scientists? Either way, sponsoring Science to Data Science means working with a team of analytical PhDs and MScs on a project, getting to know them and having the opportunity to hire them at the end. Sponsorship is available on many levels, depending on interests and needs. Get in touch to find out more.
Interested in sponsoring or hiring from S2DS?
See below for the sponsors of the next S2DS programmes. Previous partners can be found here.
Subscribe to our Newsletter
Enter your details below to subscribe to our monthly newsletter with news about S2DS and Pivigo, announcements of new programmes and deadlines, as well as news about the community and blogs.