AI in the Built Environment (Construction)

A practical introduction to how Building Information Modelling (BIM) can be used to automate and streamline construction planning. Focusing on real industry workflows, you explore how digital tools support consistent information management on site, reduce clashes, and optimise sequencing to deliver safer, more efficient project delivery.

You learn the core principles of automated construction planning, including BIM execution plans, information standards, 4D simulation, clash detection, and digital coordination workflows. Through hands on exercises and industry case studies, you gain experience using tools such as Revit, Navisworks and 4D scheduling software to analyse construction sequences, generate simulation outputs, and coordinate project information across stakeholders.

By the end of the module, you will be able to evaluate BIM based planning processes, produce 4D models, apply digital tools to minimise on site clashes, and demonstrate competency in coordinating project information in line with PAS 1192 and ISO 19650 standards. This module equips future construction and site managers with modern, automated planning techniques that align with emerging Industry 4.0 practices and digital site management.

An introduction to how artificial intelligence and machine learning can be applied within the built environment to improve efficiency, asset visibility and strategic decision making. Focusing on real-world digital practices, you explore how AI ready data structures support predictive analytics, portfolio optimisation, and smarter asset management across buildings and infrastructure.

The fundamentals of AI and ML concepts relevant to the sector are introduced and you develop the ability to structure and manage asset data effectively, and use digital tools to produce performance insights that guide operational and strategic decisions. Through practical exercises using Jupyter notebooks, industry datasets, and Python ML libraries, you create a complete digital asset register designed to integrate with AI supported systems.

On completion, you will be able to explain the core role of AI and ML in the built environment, construct an industry standard asset register, apply ML tools to generate basic performance predictions, and evaluate how AI technologies enhance asset planning, maintenance strategies, and portfolio level decision making.

You gain a comprehensive introduction to digital twinning and digital shadowing, exploring how these technologies transform the way organisations monitor, manage and optimise their built asset portfolios. You learn how to map real world assets into digital twin frameworks, understand the data flows that enable live and predictive insights, and begin shaping a roadmap for a digital twin strategy within your own organisation.

Through practical exploration of digital twin structures, BIM-IoT integrations, and sensor driven data environments, the module builds foundational skills in creating functional, information rich digital representations of physical assets. You are introduced to immersive technologies, developing an understanding of how virtual reality can be used to visualise assets, enhance decision making and improve stakeholder engagement.

By the end of the module, you will distinguish between models, shadows and full digital twins; identify the data requirements for a working twin; create an initial organisational twin roadmap; and integrate VR workflows for interactive visualisation and immersive planning. You gain the essential knowledge needed to participate in the rapidly growing field of digital twins and cyber physical systems within the built environment.

Bring your organisation's assets to life with immersive 360° digital environments. In this hands on module, you learn how to capture high quality 360° imagery, apply photogrammetry techniques, and build interactive digital walkthroughs enriched with tags, metadata, and informational overlays. Using accessible tools and real world methods, you create VR ready environments that support outreach, training, and enhanced digital inventories. Perfect for anyone looking to modernise how they present, document and engage with their physical assets.

Kick start your BIM journey with this practical introduction to REVIT and OpenBIM tools. Learn how to create accurate digital models of organisational assets using industry standard modelling practices. Through hands on exercises, you explore families, parameters, IFC export workflows, and model structuring techniques that support asset management and lifecycle use. By the end of the module, you will produce clean, interoperable BIM models that enhance digital asset management and improve information consistency across any project or organisation.