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BIM and Common Data Environment Data Analytics (Micro-credential L7, 5 ECTS)

  • Status: Register Your Interest

  • Location: Online

  • weeks: 8

  • Fees: €625* See below for funding details


Course Overview

The Common Data Environment is a key component of BIM-enabled project delivery. It is a central data platform for all construction design and project delivery information. This programme will provide learners with key tools and methodologies to interrogate this data lake to derive key project performance metrics.

Participants in this programme will learn to provide deep, data-driven insights into construction organisations and provide key decision-making data to senior management. The value of data analytics has been clearly established across multiple industries. This course leverages the opportunity that CDE data analytics presents to the construction sector.

More Information

  • On completion of this module the learner will/should be able to

    • Configure core parameters and workflow configuration of a Common Data Environment for use at enterprise scale
    • Create Project Data reports and System Data reports using CDE core functionality
    • Connect to a cloud-based CDE API, including data security and authentication protocols.
    • Create, Read, and Update CDE data from a custom-built software tool.
    • Perform Data Analysis on CDE data obtained through the API

    This programme will use Autodesk Construction Cloud as the Common Data Environment. The skill sets developed are transferable to other CDE platforms. Autodesk Platform Services is utilised to develop custom functionality

  • A level 6 qualification in a cognate discipline (e.g. Engineering, Architecture, Building Services, Construction Management etc.,) or approved equivalent qualification

    or

    Recognised Prior Learning (RPL)
    If you do not meet the academic entry requirements listed above but would like your application assessed under RPL please select YES on the online application form. Please include any relevant work experience/further information relevant to your application under the ‘Additional Information’ section.

    English Language: Applicants who do not have English as their first language must ensure they satisfy English Language requirements. For entry to undergraduate courses, a score of 5.5 in an IELTS or equivalent exam is required. For postgraduate courses, a score of 6.0 in an IELTS or equivalent exam is required. It is the responsibility of the applicant to ensure their English proficiency meets these requirements. Please note that we do not request proof of English language qualification or proficiency.

  • Delivery is fully online with lectures and practical sessions in a virtual classroom

    3 hours weekly 18:30- 21:30.

  • Each 5 credits will normally equate to approximately 100 Total Learning Hours. Total Learning Hours includes the time you spend in class (lectures, tutorials, practical elements) and the time you spend completing work outside of college. The balance between these two varies by discipline, and by level of study. You should bear in mind that the workload will increase at particular times e.g. when assignments are due.

  • This module is fully assessed through coursework assessments.

    Two practical project assignments are required.

    Assessments are designed with tiered activities of varying difficulty, these are individual assessments, however peer collaboration is actively encouraged.

  • The fee is €625 and is part funded by the DASBE Initiative (HEA HCI Funded) for eligible applicants in 2026.

    Successful applicants will qualify for €208 in funding towards the cost of the programme. The balance of €417 will be payable by the applicant upon registration.

    Funding is limited and will be allocated on a first come first served basis to eligible applicants.

  • Applications will close 2 weeks before the listed start date or once the maximum number of applicants is reached

    Places are allocated on a first come first served basis

    Programme run subject to viable numbers

  • BIM and Common Data Environment Data Analytics (Micro-credential L7, 5 ECTS)