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- Building Information Modelling and Digital Construction MSc (Professional Placement)
Building Information Modelling and Digital Construction MSc (Professional Placement)
Course options
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Qualification
MSc - Master of Science
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Location
City Centre Campus (Millennium Point)
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Study mode
Full time
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Start date
22-SEP-25
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Duration
18 Months
Course summary
The MSc in BIM (Building Information Modelling) and Digital Construction course is designed in response to the growth of digitalisation in the built environment, to produce pioneers who can lead and apply digital innovation to the construction industry. This Masters degree is aimed at:
- Providing you with a comprehensive portfolio of creative, professional and practice-based education.
- Helping you to secure employment, further study and career enhancement.
The course design has been influenced by the rapid development in automated processes that support different aspects within the built environment, as well as the continual demand of the commercial sector for strategies that support effective technological transformation.
Improving digital competencies amongst different professionals at technical, operational, and managerial levels across the built environment sector is becoming vital. With the continual technological evolution of this sector, the demand for graduates who can competently use data and information is on the rise - especially with many emerging potentials resulting from applying areas of knowledge such as techniques from big data analytics, block-chain, and information system management strategies. We welcome professionals and graduates who with an enthusiasm for learning and real-world understanding to study this course.
MSc BIM and Digital Construction is a cognate course, which means that it is designed for graduates from backgrounds including built environment, engineering, manufacturing, and computer science industry professionals. This goes hand-in-hand with the applied nature of the taught modules, which contextualise theory and practical exercises into areas where we have considerable expertise, e.g., BIM, information systems and computer science.
What's covered in this course?
The MSc BIM and Digital Construction is built on three main areas of knowledge: Digital Transformation, BIM and Integrated Processes, and Decision-making and Optimisation.
Digital Transformation: Through information system lenses, we will provide you with knowledge and understanding on role of information systems and technology within organisations, shedding light on a range of techniques and technologies that support formulating an effective strategy for digital transformation.
BIM and Integrated Processes: Reflecting on best practice of employing integrated processes across the different built environment disciplines, we will build your knowledge and practice of using Building Information Modelling (BIM) as one of the integrated processes on real-life projects. With the continual evolvement of engineering processes within the construction industry, we will also cover knowledge and understanding about lean techniques and principle and its integration in BIM projects.
Decision-making and Optimisation: As the integration of technology-based solutions within the built environment expands, the value of understanding data/information in informing different decisions across the whole lifecycle is becoming inevitable. Through interdisciplinary expertise, we will provide you with an insight into different computing based areas to equip you with robust knowledge on data synthesis to optimise different aspects within the built environment.
Modules
Tuition fees
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£ 1,705month
Tuition fees shown are for indicative purposes and may vary. Please check with the institution for most up to date details.
University information

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University League Table
92nd
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Campus address
Birmingham City University, University House, 15 Bartholomew Row, Birmingham, Birmingham, B5 5JU, England
Subject rankings
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Subject ranking
25th out of 36 2
69th out of 117 3
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Entry standards
/ Max 158121 76%18th
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Graduate prospects
/ Max 10077.0 77%29th
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Student satisfaction
/ Max 42.98 74%23rd
11 -
Entry standards
/ Max 227127 56%68th
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Graduate prospects
/ Max 10079.0 79%67th
4 -
Student satisfaction
/ Max 43.16 79%16th
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