Expert of the future – Knowledge management in decision-making (3 cr)
Code: MS00CZ52-3001
General information
- Enrollment
-
11.03.2025 - 27.03.2025
Registration for the implementation has ended.
- Timing
-
01.04.2025 - 30.04.2025
Implementation is running.
- Number of ECTS credits allocated
- 3 cr
- Local portion
- 0 cr
- Virtual portion
- 3 cr
- Mode of delivery
- Distance learning
- Unit
- Master School
- Teaching languages
- Finnish
- Degree programmes
- Master of Management and Leadership in Health Care
- Teachers
- Minna Salakari
- Anne Rouhelo
- Scheduling groups
- Avoimen AMK:n kiintiöpaikat. Ilmoittaudu ilman tätä pienryhmää. (Size: 2000 . Open UAS : 2000.)
- Small groups
- Open UAS quota. Please enroll without selecting this group.
- Course
- MS00CZ52
Evaluation scale
H-5
Content scheduling
The course focuses on the role of data-driven management in supporting decision-making, particularly from the perspectives of practical data collection, analysis, and decision support.
Course Objectives
The student will:
- Understand the importance of data-driven management in decision-making and organizational development.
- Be able to identify and define the information and sources needed to support decision-making.
- Master the basics of data collection and analysis, as well as the use of data-based decision-making models.
- Develop skills in utilizing analytics and data-driven management tools in decision-making.
Core Topics
Fundamentals of Data-Driven Management
Definition and role of data-driven management
Organizational data management: How do organizations collect, store, and share information? What are the roles of data repositories and structures?
Data Collection for Decision Support
Data analysis and data collection techniques
Databases and information sources
Principles of data protection and security: Ethical use of data and privacy protection
Data Analysis in Decision-Making
Analysis tools and methods
Data-driven decision-making
Tools for Data-Driven Decision-Making
Strategic decision-making through data
Using data in strategic planning and operational decision-making
Objective
After completing the course, the student the student will:
- Understand the importance of data-driven management in decision-making and organizational development.
- Be able to identify and define the information and sources needed to support decision-making.
- Master the basics of data collection and analysis, as well as the use of data-based decision-making models.
- Develop skills in utilizing analytics and data-driven management tools in decision-making.
Content
- Fundamentals of Data-Driven Management
- Data Collection for Decision Support
- Data Analysis in Decision-Making
- Tools for Data-Driven Decision-Making
Teaching methods
The course is delivered as an independent online course in the itsLearning learning environment.
Learning methods and assignments
Recorded Online Lectures: Covering theory and practical examples of data-driven management, the basics of data analysis, and methods for supporting decision-making.
Discussions and Case Assignments: Group work and case analysis where students apply learned theory to practical scenarios.
Online Quizzes and Tests