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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

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 19 out of 19 courses
3rd year course
HA

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)
3rd year course
HA MAK

Advanced Marketing Analytics

7.5 ECTS

Academic areas for master admission
  • Marketing (max 5 ECTS)
  • Business administration (max 7.5 ECTS)
3rd year course
HA

AI for Sales Management

7.5 ECTS

Academic areas for master admission
  • Business administration (max 7.5 ECTS)
3rd year course
HA

Applied Machine Learning

7.5 ECTS

Academic areas for master admission
  • Information systems / Information technology (max 7.5 ECTS)
3rd year course
HA(it.)

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)
3rd year course
BSc IB

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)
3rd year course
HA(mat.)

Econometrics

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
3rd year course
HA

Forecasting in Business and Economics

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
3rd year course
HA

Introduction to Data Analytics for Innovation, Technology, and Markets

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 2.5 ECTS)
  • Innovation (max 5 ECTS)
HA(mat.)

Matematisk statistik

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
HA(mat.)

Operationsanalyse

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
3rd year course
HA(it.)

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)
3rd year course
HA

Quantitative Methods

7.5 ECTS

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

Sandsynlighedsteori

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
3rd year course
BSc IST

Shipping Business Analytics

7.5 ECTS

Academic areas for master admission
  • Social science methodology (max 7.5 ECTS)
HA(mat.)

Spilteori

7.5 ECTS

Academic areas for master admission
  • Game theory (max 7.5 ECTS)
HA(mat.)

Statistiske Modeller

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
3rd year course
HA(mat.)

Time series analysis

7.5 ECTS

Academic areas for master admission
  • Quantitative methods / Statistics (max 7.5 ECTS)
3rd year course
BSc DM

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)