This Module can only be taken as a Short Course for Credit.
For more information please go to the 'Upgrade to a professional qualification' section.

Leveraging insight and understanding from data is key to making effective decisions, Data Led Decision Support and Artificial Intelligence will provide students with an understanding of the techniques that will enable them to gain actionable intelligence and insight from their data.

At a glance

  • Dates
    • Please enquire for course dates
  • Duration5 days face to face learning (with additional distance learning to be completed during 7 weeks) 
  • LocationCranfield University at Shrivenham
  • Cost


    Concessions available

Course structure

The module has an initial distance learning component, lasting three weeks, which will provide students with the background knowledge and understanding required for the course. The taught phase of the module, lasting 5 days, will contain a mixture lectures, research case studies and group working.

What you will learn

Upon successful completion of this course you will be able to:

  • Design appropriate visualisations based on user requirements,
  • Appraise current practices for decision support in organisations,
  • Contrast methods of analysing data to enable business intelligence,
  • Assess the appropriateness of big data models for generating insight.

Core content

Module topics: 

  • Machine Learning and Artificial Intelligence
  • Data mining pipeline
  • Big Data models for exploring data
  • Data Science

Upgrade to a professional qualification

After successful completion of this Short Course for Credit, 10 credit points can be put towards either the Cyber Defence and Information Assurance MSc, Cyberspace Operations MScInformation Capability Management MSc or Defence and Security (Technology) MSc.

 Find out more about short course credit points.

Who should attend

This module is suitable for those involved in the leveraging data for business decisions, in addition to those involved in the storage and management of data.

Students must have successfully completed Foundations of Cyber (CDIA, CsOps) or the Foundations of Information Systems (ICM) in order to take this as a Short Course for Credit.




A limited number of MOD sponsored places are available. 

Location and travel


Security clearance

Some Cranfield University short courses are delivered at the Defence Academy of the United Kingdom, Shrivenham which is a Ministry of Defence (MoD) site.  All applicants to courses that are wholly or partially delivered at Shrivenham, must hold a security clearance to UK Government’s Baseline Personnel Security Standard (BPSS) level or higher.

Applicants who do not hold this level of security will be asked to complete a BPSS clearance application, if attending for more than 10 days in any one year. If attending for less than 10 days in any one year, the BPSS clearance will not be required, but the completed short course application form will be passed to the MoD for vetting.  

This information will be returned by the MoD to Cranfield University after checks are completed and copies will not be retained by the MoD.  BPSS checks may involve confirmation of the following:

  • Identity (such as photo ID)
  • Nationality, including Dual and immigration status
  • Employment/academic history (covering the past three years)
  • Criminal record (unspent convictions only).

This process may be revised from time to time dependent on national security requirements.  For more details, please consult the BPSS Guidance.  It will take additional time to process your BPSS clearance application once you have completed your course application.

PLEASE NOTE: The MoD has ultimate discretion over admission to the Shrivenham site. If you are not able to access the Shrivenham site because of a failure to meet security clearance requirements, your application to attend the short course will be declined.

How to apply

To apply for this course please use the online application form.

Read our Professional development (CPD) booking conditions.