722A77 · 15 credits · Advanced level (A1N) · Företagsekonomi
Business Analytics
Active · next start HT 2026
100%
passed the latest ordinary exam
TEN1 · 15 Oct 2025 · 72 students
100%
passed the ordinary exams, all sittings over the last 5 years
TEN1 · 121 students
Part of 6 programmes
Exam
TEN1 individual examination
- VG
- G
Ordinary exams
100% passed · 121 students
- 100%72
- 100%49
Re-exams
100% passed · 20 students
- 100%9
- 100%11
- Pass the re-exam: 100% (20 students), compared with 100% (121 students) on the ordinary exam
- Get VG: 38% (141 students)
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%4
Other modules
Partial exams, hand-ins and labs. They are not part of the figures at the top.
Other module
GRP1 group assignment
- VG
- G
Main rounds
100% passed · 134 students
- 100%81
- 100%53
Later rounds
100% passed · 11 students
- 100%11
- Pass a later round: 100% (11 students), compared with 100% (134 students) on the ordinary exam
- Get VG: 61% (145 students)
Show small sittings (1)
Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.
- 100%1
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