Data Economy in the Construction and Real Estate Sector

Content:

The course introduces 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 gain an understanding of how AI can be applied in areas such as design, production management, quality assurance, and predictive maintenance. The course also addresses the opportunities, limitations, and ethical considerations related to the use of AI within 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 main data sources in the construction and real estate sectors - recognize the importance of data quality in analytics and AI applications - evaluate the benefits, risks, and ethical considerations related to the use of AI

Teaching Methods:

The studies are designed to be completed online alongside full‑time employment.

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:

VAL26DR01-3001

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 the key methods and tools of data‑driven project management. The course also examines the importance of data quality and timeliness for successful project delivery.

Goal:

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

Teaching Methods:

The studies are designed to be completed online alongside full‑time employment.

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:

VAL26DR03-3001

Language:

SV

Content:

The course explores the role of data in regulation, reporting, and business development within 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 examines the impacts of digitalization and the data economy on the operating environment of the construction industry.

Goal:

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

Teaching Methods:

The studies are designed to be completed online alongside full‑time employment.

Assessment:

Lectures and assignments

Timing:

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

Date:

23.11.2026 - 10.1.2027

Place:

Vasa, Wolffskavägen 33

Faculty:

Faculty of Technology and Seafaring

Only Online:

Yes

Teacher:

Tuuli Kunnas

Course Code:

VAL26DR02-3001

Language:

SV

Content:

The course introduces the fundamentals of geospatial data and its use in the construction and real estate sector. Students learn to understand the importance of geospatial information in 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 key geospatial datasets used in the construction and real estate sectors - utilize geospatial information to support decision‑making - recognize the connection between geospatial data, BIM, digitalization, and smart cities

Teaching Methods:

The studies are designed to be completed online alongside full‑time employment.

Assessment:

Lectures and assignments

Timing:

The two lectures will be held online during weeks 14 and 16. Exact lecture dates and times will be announced later.

Date:

5.4.2027 - 25.4.2027

Place:

Vasa, Wolffskavägen 33

Faculty:

Faculty of Technology and Seafaring

Only Online:

Yes

Teacher:

Sem Timmerbacka, Tuuli Kunnas

Course Code:

VAL26DR04-3001

Language:

SV