Data Analytics and Information Management
| Structure Type: | Study unit |
|---|---|
| Code: | TK00BR88 |
| Curriculum: | TK 2025 |
| Level: | Bachelor of Business Administration |
| Year of Study: | 2 (2026-2027) |
| Semester: | Spring |
| Credits: | 5 cr |
| Responsible Teacher: | Rajala, Päivi |
| Language of Instruction: | Finnish |
Learning Outcomes
After completing the course, the student can the principles, methods, and tools of knowledge management and data analytics and will be able to apply them to analyze business data and support decision-making. They will be capable of collecting, processing, and preparing data for AI applications, enabling the effective use of information in strategic processes.
The student has the skills to apply AI, knowledge management, and data analytics to solve business challenges. The student can organize, analyze, and present data in an appropriate format. Furthermore, the student understands the importance of data quality and knowledge management in ensuring reliable decision-making, driving business development, and achieving competitive advantage by leveraging the opportunities offered by AI.
Student's Workload
135 hours
Contents
Principles and Practices of Knowledge Management
Methods and Tools of Data Analytics
Data Collection and Processing
Visualization and Analysis
Opportunities of AI in Data Analytics
Data-Driven Business Management
Regional Impact
The course considers the demands of the local business sector and enhances regional competence.
Internationality
The course considers the international aspects of companies and organizations in the region.
Recommended or Required Reading and Other Learning Resources/Tools
Up-to-date material specified by the teacher.
Mode of Delivery / Planned Learning Activities and Teaching Methods
Online Learning
Assessment Criteria
The course is assessed on a scale of 0 to 5.
Grade 1–2
The student recognizes the basic concepts of knowledge management and data analytics, but their practical application remains superficial.
Grade 3–4
The student is able to apply knowledge management and data analytics methods in various business situations.
Grade 5
The student demonstrates a versatile understanding of the principles and tools of knowledge management and data analytics, and can integrate them into business development.
Assessment Methods
Teacher assessment, self-assessment and peer assessment.