---
title: "MSc Data Science & Machine Learning"
ocid: "ocds-h6vhtk-05a657"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-h6vhtk-05a657"
markdown_url: "https://d3tenders.com/contract/ocds-h6vhtk-05a657.md"
json_url: "https://d3tenders.com/contract/ocds-h6vhtk-05a657.json"
source: "Find A Tender Service"
current_stage: "Award"
buyer: "DEPARTMENT FOR WORK & PENSIONS"
published: "2025-10-02"
---

# MSc Data Science & Machine Learning

Buyer: DEPARTMENT FOR WORK & PENSIONS  
Current stage: Award  
OCID: ocds-h6vhtk-05a657

[View canonical contract page](https://d3tenders.com/contract/?ocid=ocds-h6vhtk-05a657)  
[Download OCDS JSON](https://d3tenders.com/contract/ocds-h6vhtk-05a657.json)

## Summary

The procurement process for the "MSc Data Science & Machine Learning" programme was initiated by the Department for Work & Pensions, a central government authority, and is now complete. This contract was awarded to Imperial College of Science, Technology and Medicine and it covers the industry category of services, specifically staff training services. The course, designed to run from September 2025 to September 2026, will be delivered entirely online, facilitating learning in probabilistic modelling, anomaly detection, R, and Python, among other areas. The contract, valued at £17,600, commenced on 3rd October 2025 and is slated to conclude on 2nd November 2025. Serving multiple regions across the United Kingdom, the procurement method employed was direct, below threshold and without competition.

This tender presents opportunities for businesses specialising in online educational services, particularly those capable of delivering comprehensive data science and machine learning curricula. Although already awarded, understanding the requirements and execution of such contracts can provide valuable insights for educational and training institutions looking to partner with government agencies on similar future projects. Companies equipped with robust digital infrastructure for online learning, as well as expertise in R and Python, would be particularly well-suited to compete for comparable tenders in the future.

## Notice

The objective of the course is to accelerate a career in engineering by building a portfolio in everything from probabilistic modelling to anomaly detection. Through a variety of comprehensive modules, the aim is to gain fluency in both R and Python and combine this with a strong mathematical course in order to fully understand the techniques behind deep learning and computation using Bayesian methods. The course is delivered fully online through a combination of live sessions, recorded lectures and ongoing assessment feedback. The learning is required from Sep 2025-Sep 2026. Processed by SSCL

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Find A Tender Service |
| Latest notice | https://www.find-tender.service.gov.uk/Notice/061546-2025 |
| 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 |
| All stages | Award |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 2 Oct 2025 |
| Submission deadline | Not specified |
| Future notice date | Not specified |
| Award date | 1 Oct 2025 |
| Contract period | 2 Oct 2025 - 2 Nov 2025 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | Not specified |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | £17,600 |

## Status

| Field | Value |
| --- | --- |
| Tender status | Complete |
| Lots status | Complete |
| Awards status | Active |
| Contracts status | Active |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | DEPARTMENT FOR WORK & PENSIONS |
| Locality | LONDON |
| Post town | South West London |
| Postcode | SW1H 9NA |
| Country | England |
| ITL 1 | TLI London |
| ITL 2 | TLI3 Inner London - West |
| ITL 3 | TLI35 Westminster and City of London |
| Local authority | Westminster |
| Electoral ward | St James's |
| Westminster constituency | Cities of London and Westminster |
| Delivery location | Not specified |

## Supplier

| Field | Value |
| --- | --- |
| Number of suppliers | 1 |
| Supplier names | IMPERIAL COLLEGE OF SCIENCE, TECHNOLOGY AND MEDICINE |

## CPV Codes

### Divisions

- 80 - Education and training services

### Codes

- 80511000 - Staff training services

## Release History

- 2 Oct 2025 at 08:47 - Award - UK7 - Contract Details Notice - https://www.find-tender.service.gov.uk/Notice/061546-2025

## Documents

- https://www.find-tender.service.gov.uk/Notice/061546-2025
  2nd October 2025 - Contract details notice on Find a Tender

## Notice URLs

- http://www.imperial.ac.uk
- https://www.legislation.gov.uk/ukpga/2023/54/contents

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-h6vhtk-05a657. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-h6vhtk-05a657.json.