01 Procurement
Tender overview
- Buyer
- Department for Work & Pensions
- Status
- Complete
- Procurement method
- Below threshold - without competition
- Category
- Not supplied
- CPV classification
- Not supplied
- Tender period
- Not supplied — Not supplied
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
This page represents one OCDS contracting process. Notices can be revised over time. Values may be estimates, award values or contract values and should be read with their displayed stage and date.
02 Awards and contracts
Published award records
MSc Data Science & Machine Learning
- Awarded
- Not supplied
- Award value
- Not supplied
- Suppliers
- 1
- Signed contract
- 1 October 2025
03 Organisations
Buyers, suppliers and other parties
Department for Work & Pensions
Caxton House 7th Floor 6-12 Tothill Street, London, UKI32, SW1H 9NA, United Kingdom
GB-PPON PJCP-7274-TLRQIMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE
The faculty Building, Imperial College London, Exhibition Road, London, UKI32, SW7 2AZ, United Kingdom
Companies House RC000231 →Companies House links appear only for explicit GB-COH identifiers. BritDB does not create company links from a similar name or address.
04 Provenance
Source for this process
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