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Courses at bach­el­or level

Here you can find a list of all single courses offered by CBS at bach­el­or level in au­tumn and spring, re­spect­ively. Each single course is also offered as an elect­ive for CBS' full­time stu­dents.

When are single courses at bach­el­or level pub­lished?

The courses are offered in the au­tumn and spring, re­spect­ively. Single courses for the spring semester are pub­lished in late Septem­ber. Single courses for the au­tumn semester are pub­lished in mid March.

You will find the most courses in the au­tumn since this is when CBS stu­dents are tak­ing their elect­ives.

Teach­ing and exam peri­ods

The courses are either quarter courses or semester courses. You can see the approximate teaching and exam periods for different kinds of courses here:

Autumn Teaching Exams Retake
Q1: 1st quarter weeks 36-42 weeks 43-44 weeks 51-52 (Dec) and 1 (Jan)
Q2: 2nd  weeks 45-51 weeks 1-4 weeks 9-10
Semester weeks 36-49 weeks 50-52 (Dec) and 1-4 (Jan) February
Spring Teaching Exams Retake
Q3: 3rd quarter weeks 6-12 weeks 13-14 weeks 21-22
Q4: 4th quarter weeks 15-21  weeks 22-26  weeks 31-35
Semester weeks 6-19 weeks 20-26  August

New website - The courses have a new look

If you need the familiar overview while choosing your electives, you can use our temporary pdf which you might know from the old website.

See courses and electives and electives for spring 2026 (pdf).

How to see which academic areas the course covers

Acadmic areas for master admission show in the overview below which academic areas each course can cover. This information is important if you need it to qualify for a master programme at CBS.

 

Bach­el­or courses

Other filters
Showing 21 out of 21 courses
Bachelor

A Gentle Introduction to Computational Economics

7.5 ECTS

Academic areas for master admission
  • Information systems / Information technology (max 5 ECTS)
  • Quantitative methods / Statistics (max 2.5 ECTS)
Bachelor

AI for Sales Management

7.5 ECTS

Academic areas for master admission
  • Business administration (max 7.5 ECTS)
Bachelor

Big Data Analytics for Managers

7.5 ECTS

Academic areas for master admission
  • Information systems / Information technology (max 2.5 ECTS)
  • Social science methodology (max 7.5 ECTS)
Bachelor

Data in Economics and Business

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
  • Social science methodology (max 7.5 ECTS)
Bachelor

Econometrics

7.5 ECTS

6-week course
Bachelor

Forecasting in Business and Economics

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
  • Social science methodology (max 7.5 ECTS)
6-week course
Bachelor

Introduction to Business Statistics

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
  • Social science methodology (max 7.5 ECTS)
6-week course
Bachelor

Introduction to Econometrics with R

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
  • Social science methodology (max 7.5 ECTS)
Bachelor

Matematisk statistik

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
Bachelor

Operationsanalyse

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
Bachelor

Programming and Data Analysis for Business

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 2.5 ECTS)
  • Information systems / Information technology (max 2.5 ECTS)
Bachelor

Qualitative and Quantitative Methods

15 ECTS

Bachelor

Quantitative Methods

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
  • Social science methodology (max 7.5 ECTS)
Bachelor

Sandsynlighedsteori

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
Bachelor

Shipping Business Analytics

7.5 ECTS

Academic areas for master admission
  • Social science methodology (max 7.5 ECTS)
Bachelor

Spilteori

7.5 ECTS

Academic areas for master admission
  • Game theory (max 7.5 ECTS)
Bachelor

Statistics

7.5 ECTS

Bachelor

Statistics and Quantitative Methods

7.5 ECTS

Bachelor

Statistiske Modeller

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
Bachelor

Tidsrækkeanalyse

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
Bachelor

Winning in the Digital Age: Applications in Data Analysis with R

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
  • Social science methodology (max 7.5 ECTS)