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MSc Artificial Intelligence

Department for Work & Pensions

This public procurement record has 1 release in its history.

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 services from the University of Liverpool. The requirement was an MSc in Artificial Intelligence for two delegates, delivered through part-time study over 24 months. The course covers machine learning, deep learning and natural language processing, with practical skills to design, build and evaluate artificial-intelligence-enabled systems. It also covers ethical, secure and responsible AI aligned with Digital, Data and Technology standards. The programme is intended to support professional development within the Department for Work & Pensions. Delivery covered England, with potential attendance in person where useful for activities such as graduation, library access or meetings, subject to proximity to the educational establishment.

This procurement is complete and has been awarded. The Department for Work & Pensions used a direct award below the applicable threshold, without competition. The award was made to the University of Liverpool on 20 August 2026. One completed lot covered staff training services. The active contract was signed on 20 August 2026 and runs from 21 August 2026 to 20 August 2028. Its value is £26,920.50 excluding VAT, or £32,304.60 including VAT. The requirement was evaluated and progressed as a below-threshold, non-competitive purchase rather than an open tender. The selected supplier is a large university, and the contract provides the specified MSc Artificial Intelligence programme for two Department for Work & Pensions delegates.

This award demonstrates demand from the Department for Work & Pensions for specialist postgraduate AI education supporting public-sector digital capability. Suppliers well placed for similar requirements would be universities, specialist training providers or education partnerships able to deliver accredited master’s-level learning in machine learning, deep learning and natural language processing. Credible providers would need practical teaching that enables learners to design, build and evaluate AI systems, alongside robust coverage of ethical, secure and responsible use. Alignment with Digital, Data and Technology standards is important. The delivery model also requires part-time study over an extended period, support for a small number of delegates, and a suitable educational setting with arrangements for occasional in-person attendance across England.

How relevant is this notice?

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/079306-2026
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
£26,920 Under £100K

Notice Dates

Publication Date
20 Aug 20266 days ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
20 Aug 20261 weeks ago
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
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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