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MSc Artificial Intelligence

Department for Work and Pensions

This public procurement record has 2 releases in its history.

ContractTermination

30 Sep 2026 at 12:49

UK11 - Contract Termination Notice
Award

20 Aug 2026 at 10:05

UK7 - Contract Details Notice
Summary of the contracting process

The Department for Work & Pensions procured postgraduate staff training through an MSc in Artificial Intelligence, supplied by the University of Liverpool. The course covered machine learning, deep learning and natural language processing, and developing the practical skills to design, build and evaluate AI-enabled systems. It also addressed ethical, secure and responsible AI in line with DDaT standards. The intended cohort was two delegates, studying part time. Delivery was intended to be relatively close to the educational setting so delegates could attend in person when needed, for example for graduation, library use or an in-person meeting. The recorded delivery coverage spans the North East, North West, Yorkshire and the Humber, East Midlands, West Midlands, East of England, London, South East and South West of England.

The procurement was awarded to the University of Liverpool through a below-threshold direct award without competition. The contract was signed on 20 August 2026, with a planned period from 21 August 2026 to 20 August 2028. Its stated value was £26,920.50 excluding VAT (£32,304.60 including VAT). The procurement was recorded as complete, and the contract was subsequently terminated on 30 September 2026 by mutual agreement; implementation records show a final value of £0. The stated requirement was for two delegates. The course description sets out the subject areas and applied learning outcomes, but no separate scoring or evaluation criteria are recorded.

This purchase demonstrates demand from the Department for Work & Pensions for postgraduate, part-time AI education for a small staff cohort, rather than a general consultancy or software delivery service. A credible future provider would need to offer MSc-level teaching across machine learning, deep learning and natural language processing, with practical instruction in designing, building and evaluating AI-enabled systems. The course also needs to address ethical, secure and responsible AI in a way aligned with DDaT standards. Suppliers should be able to support part-time study and provide a learning arrangement sufficiently close to the relevant educational setting for occasional in-person attendance. The award went to a university, so established higher-education course delivery is directly evidenced as a successful route for meeting this buyer’s requirement.

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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) 2 delegates Processed by SSCL

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-06e83d
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/092344-2026
Current Stage
Award
All Stages
Award

Procurement Classification

Notice Type
UK11 - Contract Termination 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
£26,920 Under £100K

Notice Dates

Publication Date
30 Sep 20263 weeks ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
21 Aug 2026 - 20 Aug 2028 2-3 years
Recurrence
Not specified

Notice Status

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

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
Department for Work and 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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