Tentalabbet

TDEI74 · 6 credits · Advanced level (A1N) · Industriell ekonomi

Business Analytics

Active · next start VT 2027

100%

passed the latest ordinary exam

DIT1 · 25 Mar 2026 · 74 students

99%

passed the ordinary exams, all sittings over the last 5 years

DIT1 · 150 students

4%

Harder than 4% of courses at advanced level

Compared with 285 courses at the same level, ordinary exams over the last three academic years. 150 students.

Part of 4 programmes

Exam

DIT1 Digital examination

  • 5
  • 4
  • 3
  • U

Ordinary exams

99% passed · 150 students

  • 100%74
  • 97%76

Re-exams

100% passed · 6 students

  • 100%6
  • Pass the re-exam: 100% (6 students), compared with 99% (150 students) on the ordinary exam
  • Get 4 or 5: 92% (156 students)
Show small sittings (3)

Sittings with fewer than 5 students, often credit transfers or special sittings. They are not part of any figure on this page.

  • 100%1
  • 100%2
  • 100%3

Other modules

Partial exams, hand-ins and labs. They are not part of the figures at the top.

Hand-in or lab

LAB1 Laboratory work and reflections

  • G

Main rounds

100% passed · 160 students

  • 100%79
  • 100%81

Later rounds

No sittings with at least 5 students.

    About the course

    Aim

    Upon completion the course students should be able to

    • Understand business analytics and its fundamentals
    • Explain different approaches and methods for moving from data to relevant insights
    • Explain the impact of data characteristics and quality on decision making
    • Communicate analyses and their consequences for different stakeholders and goals

    Content

    The course focuses on applied business analytics. The course provides an understanding of the assumptions and underlying notions that forms the foundation for business analytics and the usage of data for decision making. The course will address different approaches and methods pertinent for business analytics. Students will also be exposed to decision making processes and how decisions are influenced by aspects such as data quality, model choices, risk, uncertainty and visualization.

    The course will furthermore discuss how to present insights in order to support organizational decision making. The course focuses on business development in firms and primarily discusses business analytics from a business and organizational perspective and how it pertains to strategic decision making.

    Examiner
    Harald Brege
    Scheduled hours
    0 h
    Main field of study
    Industriell ekonomi
    Syllabus on Studieinfo ↗