Applied Digital Construction Management(MSc)
Construction is changing fast. This forward-thinking MSc will equip you with the AI-driven, data-centric and digitally fluent construction management skills needed to lead the future of the industry. At its core, this is a project management course, covering essentials like planning, scheduling, cost control, procurement, risk and contract management. But it goes far beyond traditional models by embedding hands-on digital expertise in areas like AI, automation, Digital Twins, and IoT You’ll learn to manage complex projects more efficiently and sustainably using cutting-edge tools such as Power BI with Python and Colab, Azure ML, Azure Digital Twins, Navisworks, Synchro, Advanced Revit Modelling, and BIM Common Data Environment (CDE) integration with AI. You’ll also explore Dynamo, Grasshopper, BIM-based AI chatbots, AI-driven cost engineering, and AI-powered facility management interactive dashboards, all with no prior programming experience required. Designed in collaboration with industry, this applied MSc will equip you to lead digital transformation across construction, smart infrastructure, and beyond. Why is this course needed in industry? The construction sector is undergoing a digital revolution, yet it remains one of the least digitised global industries. Manual processes, siloed data and outdated workflows create inefficiencies and missed opportunities. This MSc addresses a critical skills gap by producing graduates who understand both the core principles of construction management and how to enhance them with digital tools, automation and real-time data insights. What evidence is there for industry demand? Reports from the World Economic Forum and McKinsey highlight construction as one of the industries with the most to gain from digital transformation. In the UK, government strategies like the Construction Playbook and Transforming Infrastructure Performance are driving digital adoption including mandatory BIM for public projects. Globally, the digital construction market is forecast to grow by over 16% annually, creating strong demand for professionals who can deliver data-driven, AI-enhanced projects. Why study this course at Queen’s? Queen’s is a Russell Group university with world-class research in construction, sustainability and digital innovation. This MSc was developed with direct input from industry partners and is supported by the Department for the Economy (DfE), aligning it with real-world needs. You’ll have access to state-of-the-art labs, high-performance computing, and strong employer connections. Plus, with Belfast undergoing major redevelopment, you’ll study in a city that acts as a real-time case study, a living lab for digital construction. What skills will I graduate with? You’ll leave this course with a highly sought-after mix of traditional project management expertise and hands-on digital skills. These include: • AI, machine learning and predictive analytics for construction • BIM and Digital Twins for lifecycle project coordination • Automation and IoT integration for real-time monitoring • Smart cost estimation, scheduling and risk analysis • Tools like Power BI, Azure ML, Python, Dynamo and blockchain • Application of AR/VR, computer vision, and AI-driven chatbots • Sustainability modelling and low-carbon construction strategies Who is this course for? This MSc is ideal for: • Civil engineers, architects, project managers and surveyors • BIM and construction tech professionals • Data scientists, IoT specialists, and software engineers entering the built environment sector • Urban planners, facility managers and sustainability consultants • Professionals from business, procurement, or project delivery roles seeking digital upskilling No coding background? No problem, we will build your knowledge from the ground up. A Note from the Course Director
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Applied Digital Construction Management(MSc) Why it matters: AI News is expanding the infrastructure surface for builders, which can change where inference runs, what gets deployed locally, and how teams package AI workloads. Source: Queen's University Belfast https://a2zai....
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