Computing in Construction | Master of Engineering | YAMK

Goal of the studies

After completing the programme, the student understands the varieties of models and data created in the real-estate and construction sector and has gained hands-on capabilities to apply, develop and implement modern computational methods and tools to process them, with the purpose of increased quality, sustainability, productivity, and security of construction.

The student has become familiar with

• the heterogeneous models of built environment (building information models, city models, product data, etc.),
• secure and organized data management and sharing technologies and practices in construction, and
• point clouds, sensor data, and event data generated over the construction lifecycle.

The student has acquired the following knowledge and skills to meet the demands of the construction sector:

• utilize computational tools to query, process, link, enrich, and manage the data,
• create, modify, and optimize the models algorithmically,
• understand and utilize the artificial intelligence technologies, and
• develop and extend models and systems.

Structure of studies

Extent of the studies is 60 ECTS credit points and duration 1,5 years.

The programme consists of

• Common studies 20 ECTS
• Elective studies 10 ECTS and
• Master’s Thesis 30 ECTS

Topics

The Computing in Construction programme looks at the construction sector from a data perspective: what kinds of data is produced and consumed over construction lifecycle. Also models of different kinds - BIM models, city models, point clouds, etc. - are seen and used as particular types of data.

The overarching themes in the studies are (1) linking different kinds of data with each other across models and datasets, and (2 )interoperability of systems: how systems can use data produced by others, and how workflows could be automated. (It should be stressed that the programme does not teach the use of BIM authoring tools, practices of BIM-based design, BIM coordination, or other such skills).

The specific topics of studies are the following:

• Computational representations of the built environment
• Management and sharing of construction data
• Data gathering over the construction lifecycle
• Computational design and optimization
• Artificial intelligence, machine learning, and reasoning
• Digital twins in construction