Data Economy in the Construction and Real Estate Sector

Content:

The course provides an introduction to the fundamentals of geospatial data and its use in the construction and real estate sector. Students learn to understand the importance of geospatial information for planning, construction, asset management, and decision‑making, and to identify the most relevant geospatial datasets and tools.

Goal:

After completing the course, the student will be able to: - understand the fundamentals of geospatial data - identify the most important geospatial datasets in the construction and real estate sectors - use geospatial data to support decision‑making - recognize the connection between geospatial data, BIM (Building Information Modeling), digitalization, and smart cities

Teaching Methods:

The studies are designed to be completed alongside employment as online‑based studies.

Assessment:

Lectures and assignments

Timing:

The two lectures will be held online during weeks 15 and 17. Exact lecture dates and times will be announced later.

Date:

12.4.2027 - 2.5.2027

Place:

Vasa, Wolffskavägen 33

Faculty:

Faculty of Technology and Seafaring

Only Online:

Yes

Teacher:

Sem Timmerbacka, Tuuli Kunnas

Course Code:

VAL26DE04-3001

Language:

SV

Content:

The course provides an introduction to key applications of data analytics and artificial intelligence in the construction sector. Students learn to utilize data generated in construction projects to support decision‑making and to understand the potential of artificial intelligence in areas such as design, production management, quality assurance, and predictive maintenance. The course also addresses the opportunities, limitations, and ethical perspectives related to the use of artificial intelligence in the operating environment of the construction industry.

Goal:

After completing the course, the student will be able to: - understand the key concepts of data analytics and artificial intelligence - identify the most important data sources in the construction and real estate sectors - understand the importance of data quality when applying analytics and artificial intelligence - assess the benefits, risks, and ethical considerations related to artificial intelligence

Teaching Methods:

The studies are designed to be completed alongside employment as online‑based studies.

Assessment:

Lectures and assignments

Timing:

The four lectures will be held online during weeks 43, 44, 45 and 47. Exact lecture dates and times will be announced later.

Date:

19.10.2026 - 22.11.2026

Place:

Vasa, Wolffskavägen 33

Faculty:

Faculty of Technology and Seafaring

Only Online:

Yes

Teacher:

Tuuli Kunnas

Course Code:

VAL26DE01-3001

Language:

SV

Content:

The course introduces the use of data in the planning, monitoring, and management of construction projects. Students learn to use project data to support decision‑making and to identify key methods and tools for data‑driven project management. The course also examines the importance of information quality and up‑to‑date data for successful project delivery.

Goal:

After completing the course, the student will be able to: - understand the importance of data‑driven leadership and control in construction projects - identify the key information flows within a project - use data for scheduling, cost control, and risk management - understand the role of digital tools in project management - recognize the potential of analytics and artificial intelligence in project management - interpret key performance indicators that describe project performance and outcomes

Teaching Methods:

The studies are designed to be completed alongside employment as online‑based studies.

Assessment:

Lectures and assignments

Timing:

The four lectures will be held online during weeks 3, 4,6 and 7. Exact lecture dates and times will be announced later.

Date:

18.1.2027 - 21.2.2027

Place:

Vasa, Wolffskavägen 33

Faculty:

Faculty of Technology and Seafaring

Only Online:

Yes

Teacher:

Tuuli Kunnas

Course Code:

VAL26DE03-3001

Language:

SV

Content:

The course examines the significance of data for regulation, reporting, and business development in the construction sector. Students learn to understand how data is used to meet regulatory requirements, support decision‑making, and create new service and business models. The course also highlights the impact of digitalization and the data economy on the operating environment of the construction sector.

Goal:

After completing the course, the student will be able to: - identify data‑related regulation and understand its significance - identify key development trends in digital regulation within the construction sector - understand the importance of interoperable information, information models, and standards - assess new business opportunities enabled by data - identify issues related to data ownership, sharing, and use - understand how artificial intelligence and the data economy influence value chains in the construction sector

Teaching Methods:

The studies are designed to be completed alongside employment as online‑based studies.

Assessment:

Lectures and assignments

Timing:

The four lectures will be held online during weeks 48, 49, 50 och 2. Exact lecture dates and times will be announced later.

Date:

23.11.2026 - 17.1.2027

Place:

Vasa, Wolffskavägen 33

Faculty:

Faculty of Technology and Seafaring

Only Online:

Yes

Teacher:

Tuuli Kunnas

Course Code:

VAL26DE02-3001

Language:

SV