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MSC Artificial Intelligence

Department for Work and Pensions

This public procurement record has 1 release in its history.

Award

30 Sep 2026 at 07:14

UK7 - Contract Details Notice
Summary of the contracting process

The Department for Work & Pensions bought a fully online postgraduate artificial intelligence course for staff. It covers machine learning, deep learning and natural language processing, with practical skills to design, build and evaluate AI-enabled systems. The training also addresses ethical, secure and responsible use of AI in line with Digital, Data and Technology standards. Study is part-time, with in-person attendance only where there is a reason, such as graduation, library use or a meeting. The service is staff training, delivered across England, including London, the North East, North West, Yorkshire and the Humber, East Midlands, West Midlands, East of England, South East and South West.

The procurement is complete and the contract was awarded to the University of Liverpool. The Department used a direct award below the applicable threshold, without competition. The contract was signed on 30 September 2026 and runs from 1 October 2026 to 30 January 2027. Its value is £109,117.76 excluding VAT (£130,941.31 including VAT). The procurement was a single lot. The published objectives set the evaluation basis: postgraduate learning in machine learning, deep learning and natural language processing; practical ability to design, build and assess AI-enabled systems; and ethical, secure and responsible AI aligned with DDaT standards. The course is part-time and fully online, with possible in-person attendance for specific purposes.

For future requirements from the Department for Work & Pensions, credible providers will need to deliver postgraduate-level AI training online and part-time, covering machine learning, deep learning and natural language processing. The winning requirement also points to practical teaching that equips learners to design, build and evaluate AI-enabled systems, rather than focusing only on theory. Providers should be able to address ethical, secure and responsible AI in a way aligned with government Digital, Data and Technology standards. Delivery must support learners across a wide spread of English regions, while allowing for occasional in-person activity where needed. This award shows demand for a substantial staff-training service from a large higher-education supplier, procured directly below threshold without competition.

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Notice Information

Notice Title

MSC Artificial Intelligence

Notice Description

MSC Artificial Intelligence. Objectives: * 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. Method of Delivery: Fully Online 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) Processed by SSCL

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-077cfa
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/092098-2026
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
£109,117 £100K-£500K

Notice Dates

Publication Date
30 Sep 20266 days ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
1 Oct 2026 - 30 Jan 2027 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 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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