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M.Sc. Business Analytics & Econometrics

On this page, we present the courses we offer in our Master study program "Business Analytics & Econometrics". If you study in another program, you may also be able to elect some of these courses, please refer to this page or your module catalogue for more information.

The Field of Study

Data analytics, digital innovation and big data are crucial developments for the upcoming challenges in all business and economic areas. This programme offers a unique blend of traditional analytics (e.g. statistics, econometrics, optimisation, simulation) and modern analytical approaches (e.g. machine learning and artificial intelligence using R and Python) and merges these approaches with the teaching of groundbreaking knowledge in the areas of economics, management, and entrepreneurship.

This programme provides you with:

  • Fundamental analytics and technology skills
  • Groundbreaking knowledge and the mindset for a successful career in data analytics for business and economics
  • Vital skills for starting and managing a business in the digital age and resolving complex issues in today’s organisations
  • An ability to gather, manage and analyse (big) data as well as to visualise, present and use insights gained from the data
Prospective Students
Interested in studying Business Analytics & Econometrics at the University of Cologne? Find more information on our faculty's homepage! (➔ English, German)

Course Overview and Recommended Study Plan

In the first and second term, the recommended study plan is the same for all students. Afterwards, you can select either the Business Analytics Track or the Econometrics Track.



In the electives, you can select two courses from the broad range of offerings from the faculty.

The Cologne Institute for Information Systems (CIIS) also offers some courses as electives:

  • Elective 1 (Summer Term):
    • Advanced Analytics Applications [SM Information Systems I]
    • Artificial Intelligence and Information Management [SM Information Systems III]
    • Emerging Electronic Business  [SM Information Systems II]
    • IT Entrepreneurship [SM Information Systems II]
  • Elective 2 (Winter Term):
    • Applied Mathematical Optimization [SM Information Systems I]
    • Business Intelligence and Data Management [SM Information Systems II] (offered for the last time in the winter term 2023-24)
    • Case Project Digital Transformation [SM Information Systems I]
    • Decision Making under Uncertainty [SM Information Systems III]
    • Sustainable Digital Innovation Lab [SM Information Systems I]

Please note that you cannot elect two courses from the same module (e.g., not two courses from SM Information Systems I).

If you want to select two electives from the winter term, you may take your seminar already in the second term and then both electives in the third term.

For information on the electives offered by other departments of our faculty, please check the module catalogue, KLIPS and their websites for details.

Studies Abroad Option

We encourage students to spend one term at a university abroad. The term abroad is usually the third term. In that case, you take your seminar (Seminar Data Analytics for Business or Seminar in Statistics and Econometrics) already in the second term instead of Elective 1. You skip the three specilization modules as well as Electives 1 and 2, instead you can get your courses from your foreign university accredited.

List of Courses Offered by Our Institute

Summer Term 2024

Course Title Module* Instructors Links
Capstone Project in Data Analytics SM Capstone Project Markus Weinmann,
Christopher Coors,
Sercan Demir,
Anna Kammerer,
Sebastian Weibels
A/B Testing in Digital Business SM Seminar Data Analytics for Business Markus Weinmann,
Christopher Coors,
Sercan Demir
Machine Learning in Applied Settings SM Seminar Data Analytics for Business Markus Weinmann,
Christopher Coors,
Sercan Demir
Advanced Analytics and Applications SM Information Systems I Wolfgang Ketter,
Ramin Ahadi,
Janik Muires
Course Page
KLIPS (Lecture)
KLIPS (Tutorial)
Emerging Electronic Business SM Information Systems II Detlef Schoder KLIPS (Lecture)
KLIPS (Tutorial)
IT Entrepreneurship SM Information Systems II Stefan Seidel,
Christian Hovestadt
Course Page
Artificial Intelligence and Information Management SM Information Systems III Detlef Schoder,
Johannes Melsbach
KLIPS (Lecture)
KLIPS (Tutorial)

* SM = Specialization Module (German: "Schwerpunktmodul")

Winter Term 2023-24

Course Title Module* Instructors Links
Programming for Data Analytics BM Data Analytics II Markus Weinmann,
Sercan Demir
Machine Learning and Artificial Intelligence BM Data Analytics III Markus Weinmann,
Christopher Coors
KLIPS (Lecture)
KLIPS (Tutorial)
Data Management and Visualization BM Data Analytics V Markus Weinmann KLIPS (Lecture)
KLIPS (Tutorial)
Bayesian Data Analytics SM Analytics for Business I Markus Weinmann,
Sercan Demir
Advanced Data Analytics for Business SM Analytics for Business II Ziyue Li KLIPS
Case Project Digital Transformation SM Information Systems I Nikolaus Schmidt KLIPS
Sustainable Digital Innovation Lab SM Information Systems I Janek Richter,
Katharina Drechsler,
Christian Hovestadt
Course Page

Business Intelligence and Data Management

(offered for the last time in the winter term 2023-24)

SM Information Systems II Christoph Rosenkranz KLIPS
Applied Mathematical Optimization SM Information Systems III Wolfgang Ketter,
Saber Talari
Course Page
Decision Making under Uncertainty SM Information Systems III Ziyue Li KLIPS

* BM = Core Module (German: "Basismodul"); SM = Specialization Module (German: "Schwerpunktmodul")