Data-driven Decision Making (5 cr)

Learning outcomes

The student is able to
- use planning, analysis and decision-making tools and techniques in strategic planning
- analyze financial statements and business reports and use them as a basis for decisions
- make business decisions in various business contexts
- apply data in decision making

Location and time

Start of the study unit is 09.09.2025 09.00 - 11.30 in Leppävaara..The lectures will not be recorded.

This study unit includes individual work and working in teams. The individual exams and group work of the study unit are made online.
The learning environment of the study unit is Canvas.Canvas workspace will be open a few days before the planned study unit start.

Materials

The materials will be made available online in Canvas.

Teaching methods

Welcome to study current topics related to data and its meaning to business.
The unit will include:
- Introduction to data and data based thinking
- Data driven decision making
- Data and business
- Data and data related tools

This study unit is on-site at Leppävaara-Campus.Course will be in English. The study unit consists of many small individual assignments that the student has to accomplish.

Exam schedules

According to the degree regulations (section 18): students must be present in the first contact session or notify their teacher in charge if they cannot attend. If they fail to notify the teacher of their absence in the first contact session, their enrollment will be rejected. After the first contact day no new students are accepted on the course.

International connections

The study unit is suitable for exchange students

Completion alternatives

Any competence that corresponds to the learning outcomes of your degree can be included in it through recognition and accreditation of prior learning. Any competence that corresponds to the learning outcomes of your degree can be included in it through recognition and accreditation of prior learning.

Student workload

One credit equals approximately 26.7 hours of work performed by the student.

Content scheduling

The modules:
Orientation
Module 1: What is data and what does data-driven mean?
Module 2: Decision making
Module 3: Data analytics and accounting
Module 4: Data and Artificial Intelligence in Business Context

Evaluation scale

H-5

Further information

The study unit corresponds to the requirements of Bachelor's level education.

According to the degree regulations (section 18) “students must be present in the first contact session or notify their teacher in charge if they cannot attend. If they fail to notify the teacher of their absence in the first contact session, their enrollment will be rejected. Another student in the queue may be enrolled in the study unit in the place of the absent student.”