Scope
Reference
39050336123
Description
The objective of the course is to accelerate a career in engineering by building a portfolio in everything from probabilistic modelling to anomaly detection. Through a variety of comprehensive modules, the aim is to gain fluency in both R and Python and combine this with a strong mathematical course in order to fully understand the techniques behind deep learning and computation using Bayesian methods. The course is delivered fully online through a combination of live sessions, recorded lectures and ongoing assessment feedback. The learning is required from Sep 2025-Sep 2026.
Processed by SSCL
Contract 1
Supplier
Contract value
- £17,600 excluding VAT
- £21,120 including VAT
Below the relevant threshold
Date signed
2 October 2025
Contract dates
- 3 October 2025 to 2 November 2025
- 1 month
Main procurement category
Services
CPV classifications
- 80511000 - Staff training services
Contract locations
- UKC - North East (England)
- UKD - North West (England)
- UKE - Yorkshire and the Humber
- UKF - East Midlands (England)
- UKG - West Midlands (England)
- UKH - East of England
- UKI - London
- UKJ - South East (England)
- UKK - South West (England)
Procedure
Procedure type
Below threshold - without competition
Supplier
IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
- Companies House: RC000231
- Public Procurement Organisation Number: PHRL-7217-LGHH
The faculty Building, Imperial College London, Exhibition Road
London
SW7 2AZ
United Kingdom
Email: j.prestt@imperial.ac.uk
Website: http://www.imperial.ac.uk
Region: UKI32 - Westminster
Small or medium-sized enterprise (SME): No
Voluntary, community or social enterprise (VCSE): No
Contract 1
Contracting authority
Department for Work & Pensions
- Public Procurement Organisation Number: PJCP-7274-TLRQ
Caxton House 7th Floor 6-12 Tothill Street
London
SW1H 9NA
United Kingdom
Region: UKI32 - Westminster
Organisation type: Public authority - central government