Award

MSc Data Science & Machine Learning

DEPARTMENT FOR WORK & PENSIONS

This public procurement record has 1 release in its history.

Award

02 Oct 2025 at 08:47

UK7 - Contract Details Notice
Summary of the contracting process

The procurement process for the "MSc Data Science & Machine Learning" programme was initiated by the Department for Work & Pensions, a central government authority, and is now complete. This contract was awarded to Imperial College of Science, Technology and Medicine and it covers the industry category of services, specifically staff training services. The course, designed to run from September 2025 to September 2026, will be delivered entirely online, facilitating learning in probabilistic modelling, anomaly detection, R, and Python, among other areas. The contract, valued at £17,600, commenced on 3rd October 2025 and is slated to conclude on 2nd November 2025. Serving multiple regions across the United Kingdom, the procurement method employed was direct, below threshold and without competition.

This tender presents opportunities for businesses specialising in online educational services, particularly those capable of delivering comprehensive data science and machine learning curricula. Although already awarded, understanding the requirements and execution of such contracts can provide valuable insights for educational and training institutions looking to partner with government agencies on similar future projects. Companies equipped with robust digital infrastructure for online learning, as well as expertise in R and Python, would be particularly well-suited to compete for comparable tenders in the future.

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Notice Information

Notice Title

MSc Data Science & Machine Learning

Notice 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

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-05a657
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/061546-2025
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
UK7 - Contract Details Notice
Procurement Type
Standard
Procurement Category
Services
Procurement Method
Direct
Procurement Method Details
Below threshold - without competition
Tender Suitability
Not specified
Awardee Scale
Large

Common Procurement Vocabulary (CPV)

CPV Divisions

80 - Education and training services

CPV Codes

80511000 - Staff training services

Notice Value(s)

Tender Value
Not specified
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
£17,600 Under £100K

Notice Dates

Publication Date
2 Oct 20254 months ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
1 Oct 20254 months ago
Contract Period
2 Oct 2025 - 2 Nov 2025 1-6 months
Recurrence
Not specified

Notice Status

Tender Status
Complete
Lots Status
Complete
Awards Status
Active
Contracts Status
Active

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
DEPARTMENT FOR WORK & PENSIONS
Contact Name
Not specified
Contact Email
cdp-i.systemsanddata@dwp.gov.uk
Contact Phone
Not specified

Buyer Location

Locality
LONDON
Postcode
SW1H 9NA
Post Town
South West London
Country
England
Major Region (ITL 1)
TLI London
Basic Region (ITL 2)
TLI3 Inner London - West
Small Region (ITL 3)
TLI35 Westminster and City of London
Delivery Location
Not specified
Local Authority
Westminster
Electoral Ward
St James's
Westminster Constituency
Cities of London and Westminster

Supplier Information

Number of Suppliers
1
Supplier Name

IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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