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MSc Artificial Intelligence

Department for Work & Pensions

This public procurement record has 1 release in its history.

Award

13 Aug 2026 at 07:09

UK7 - Contract Details Notice
Summary of the contracting process

The Department for Work & Pensions procured postgraduate staff training in artificial intelligence for 12 delegates. The MSc programme covers machine learning, deep learning and natural language processing, with practical skills to design, build and evaluate AI-enabled systems. It also covers ethical, secure and responsible AI aligned with Digital, Data and Technology standards. Study is part time and lasts 24 months. The programme is intended to be delivered within relatively close proximity to the educational institution where in-person attendance may be needed, for example for graduation, library use or an in-person meeting. The service is classified as staff training. Delivery covers the English regions from the North East and North West through Yorkshire and the Humber, the Midlands and East of England to London, the South East and South West.

The procurement is complete and was awarded directly without competition as a below-threshold purchase. The single lot was awarded to the University of Liverpool on 13 August 2026. The contract was signed on the same date and runs from 14 August 2026 to 12 August 2028. Its value is £80,761.50 excluding VAT, or £96,913.80 including VAT. The Department for Work & Pensions is the buyer and the University of Liverpool is the selected supplier. The published requirement was evaluated through the direct-award route rather than a competitive tender. The contract is active, and the award remains active. The arrangement covers one supplier and one training requirement for the Department’s delegates.

This requirement demonstrates demand for substantial, structured AI education for public-sector staff rather than a short introductory course. Suppliers well placed for comparable work would need recognised postgraduate teaching capability in machine learning, deep learning and natural language processing, together with practical instruction in designing, building and evaluating AI-enabled systems. They would also need credible expertise in ethical, secure and responsible AI and the ability to align learning with public-sector Digital, Data and Technology standards. Capacity to support 12 delegates through part-time study over two years is important, as is an educational setting close enough to allow occasional in-person attendance for activities such as graduation, library access or meetings. Universities and specialist providers with established academic and delivery infrastructure are the natural competitors.

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Notice Information

Notice Title

MSc Artificial Intelligence

Notice Description

MSc Artificial Intelligence. * Postgraduate level learning in machine learning, deep learning and natural language processing. * Skills to design, build and evaluate AI enabled systems in practice. * Application of ethical, secure and responsible AI aligned to DDaT standards. Part time study over 24 months. Relatively close proximity to the educational if there are reasons to attend in person (e.g. graduation, library use, opting for an in person meeting) For 12 delegates. Processed by SSCL

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-06e31a
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/076998-2026
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
£80,761 Under £100K

Notice Dates

Publication Date
13 Aug 20261 weeks ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
13 Aug 20262 weeks ago
Contract Period
14 Aug 2026 - 12 Aug 2028 1-2 years
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
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
LONDON
Postcode
SW1H 9NA
Postcode Area
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

UNIVERSITY OF LIVERPOOL

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

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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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