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Data Science (Online) MSc

DEPARTMENT FOR WORK & PENSIONS

This public procurement record has 1 release in its history.

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07 Jul 2026 at 10:56

UK7 - Contract Details Notice
Summary of the contracting process

The Department for Work & Pensions has completed a direct award procurement process for the delivery of a "Data Science (Online) MSc" course. This contract was awarded to the University of Lancaster, with the procurement focusing on enhancing data science skills including AI, NLP, and machine learning. The course is part of the services category for staff training and is designed for a single delegate, spanning up to 28 months on a part-time basis. This procurement, below the threshold and conducted without competition, was processed by SSCL and is set to run from 8th July 2026 to 7th July 2028. The contract's gross value amounts to GBP 15,552, indicative of the investment in developing data-driven decision-making skills within the government department.

This procurement presents significant opportunities for educational institutions and training providers with expertise in data science, AI, and related technologies. Large-scale organisations that can offer online, flexible learning solutions are particularly suited to engage in similar tenders. Given the central government's commitment to advancing digital skills, suppliers adept at delivering high-quality educational content online can leverage this growing demand to expand their offerings and secure future contracts. The contract’s scope further underscores the importance of tailored training programmes that meet the sophisticated needs of central government bodies.

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Notice Information

Notice Title

Data Science (Online) MSc

Notice Description

Data Science (Online) MSc. This course is required for one person. The course is delivered online and can take up to 28 months to complete on a part-time basis. The objectives for delegates on this course are to: * Become a subject matter expert in data science, AI, NLP and machine learning, * Master industry-standard tools including Python, Hadoop, Spark and PyTorch, * Gain the confidence to distill complex data sets into digestible, actionable insights for non-technical audiences, * Develop the skills to independently design and conduct an original data analysis project with DWP, confidently presenting and packaging findings to inform business decisions. Processed by SSCL

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-h6vhtk-06c508
Publication Source
Find A Tender Service
Latest Notice
https://www.find-tender.service.gov.uk/Notice/063580-2026
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
£12,960 Under £100K

Notice Dates

Publication Date
7 Jul 20261 weeks ago
Submission Deadline
Not specified
Future Notice Date
Not specified
Award Date
6 Jul 20261 weeks ago
Contract Period
7 Jul 2026 - 7 Jul 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
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

UNIVERSITY OF LANCASTER

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

JSON Markdown

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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