722A76 · 15 credits · Advanced level (A1N) · Företagsekonomi
Business Analytics
Active · next start HT 2026
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About the course
Aim
After completion of the course, the student should on an advanced level be able to:
- argue for strategic decisions based on own data analysis
- analyze business data to discover evidence for decisions
- conduct data analysis using current and relevant methods of business analytics
- discuss the value of data and data analysis
- conduct the entire business analytics process from selection of data sources to decision-making
Content
In this course, students will foster data-driven decision-making through the application of current business analytics methodologies. The course will combine theory-based management knowledge with real-world business challenges and explore solutions through the analysis of data. Hereby, students will explore different units of the business organization and analyze unit-specific challenges as well as create an understanding on how unit-level decisions impact the organizational level. By doing so, theoretical concepts and models are combined with state-of-the-art analytical models to foster scientifically robust decision-making.
In the course, the following notions will be touched upon:
- Data economy
- Decision-making
- Data-driven decision-making
- Business analytics
- Examiner
- Alexander Flaig
- Main field of study
- Företagsekonomi