© Crown copyright 2018
This publication is licensed under the terms of the Open Government Licence v3.0 except where otherwise stated. To view this licence, visit nationalarchives.gov.uk/doc/open-government-licence/version/3 or write to the Information Policy Team, The National Archives, Kew, London TW9 4DU, or email: email@example.com.
Where we have identified any third party copyright information you will need to obtain permission from the copyright holders concerned.
This publication is available at https://www.gov.uk/government/publications/data-science-accelerator-programme/introduction-to-the-data-science-accelerator
The Data Science Accelerator is a capability-building programme which gives analysts from across the public sector the opportunity to develop their data science skills. It started in 2015, and it’s backed by the Government Digital Service (GDS), Office for National Statistics, Government Office for Science and Civil Service analytical professions (statistics, economics, operational research and social research).
Who can take part
This programme is for analysts and aspiring data scientists from across the public sector, including central and local government.
Participants work on a data science project, proposed by them, over 3 months. Having this protected time is a key benefit of the programme. Participants commit to spending one day a week working on their project, based in one of our regional hubs.
Each participant is assigned a dedicated mentor (an experienced data scientist) and also benefits from peer support from other participants in their cohort.
The programme is free. We can provide an unlocked high spec MacBook so participants can download software and experiment with tools they might not have access to in their current role. We also have a limited number of secure laptops for projects using more sensitive data.
Participants have the chance to experiment with different data science techniques and open source software. Techniques used on the Accelerator include:
- machine learning
- natural language processing
- geospatial analysis
- advanced visualisation (like R Shiny, Leaflet and D3)
Read about previous Accelerator projects on the Data at GDS blog.
The programme takes places every 4 months.
Dates for the next programme:
- Application opens: 24 September 2018
- Application deadline: 15 October 2018
- Induction: 6 December 2018
- Graduation: 14 March 2019
Dates for the 2019 programme:
- Application opens: 21 January 2019
- Application deadline: 11 February 2019
- Induction: 4 April 2019
- Graduation: 4 July 2019
We have regional hubs in:
Pick your preferred location on the application form.
Your line manager and a senior manager (usually a Head of Profession or equivalent) must agree that:
- your project tackles a business problem
- you have access to the data you’ll need for your project
- you can join one of the hubs 1 day per week for 3 months
Coding experience is useful but not essential.
How to apply
- a project proposal
- an explanation of what you hope to gain from taking part in the Accelerator
- a statement of support from your Head of Profession or director
Email your completed Accelerator application form to firstname.lastname@example.org.
Contact the programme
If you have any questions about the Accelerator or you’re interested in becoming a mentor on the programme, email email@example.com.