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Faculty of Management, Economics and Social SciencesCologne Institute for Information Systems (CIIS)

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.

 

Electives

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:

  • 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]
    • Metaverse Technologies and Business Models [SM Information Systems III]
  • Winter Term:
    • Applied Mathematical Optimization [SM Information Systems III]
    • Case Project Digital Transformation [SM Information Systems I]
    • Digital Design [SM Information Systems II]
    • Decision Making under Uncertainty [SM Information Systems II]
    • 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).

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 (SM Seminar Data Analytics for Business or SM Seminar in Statistics and Econometrics). 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 2025

Course TitleModule*InstructorsLinks
Capstone Project in Data AnalyticsSM Capstone ProjectMarkus Weinmann,
Christopher Coors,
Sercan Demir,
Anna Kammerer,
Sebastian Weibels		Course Page
KLIPS
Machine Learning in Applied SettingsSM Seminar Data Analytics for BusinessMarkus Weinmann,
Christopher Coors,
Sercan Demir		KLIPS
A/B Testing in Digital BusinessSM Seminar Data Analytics for BusinessMarkus Weinmann,
Christopher Coors,
Sercan Demir		KLIPS
AI-Driven Transformation in BusinessSM Analytics for Business IIIMarkus Weinmann,
Peter Breuer		KLIPS
Advanced Analytics and ApplicationsSM Information Systems IWolfgang Ketter,
Janik Muires		Course Page
KLIPS (Lecture)
KLIPS (Exercise)
Emerging Electronic BusinessSM Information Systems IIDetlef SchoderKLIPS (Lecture)
KLIPS (Exercise)
Artificial Intelligence and Information ManagementSM Information Systems IIIDetlef Schoder,
Johannes Melsbach		KLIPS (Lecture)
KLIPS (Exercise)
Metaverse Technologies and Business ModelsSM Information Systems IIIStefan Seidel,
Christian Hovestadt		Course Page
KLIPS

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

Winter Term 2024-25

Course TitleModule*InstructorsLinks
Programming for Data AnalyticsBM Data Analytics IIMarkus Weinmann,
Sercan Demir		Course Page
KLIPS
Machine Learning and Artificial IntelligenceBM Data Analytics IIIMarkus Weinmann,
Christopher Coors		KLIPS (Lecture)
KLIPS (Exercise)
Data Management and VisualizationBM Data Analytics VMarkus Weinmann,
Stefan Rose		Course Page
KLIPS
Bayesian Data AnalyticsSM Analytics for Business IMarkus Weinmann,
Sercan Demir		Course Page
KLIPS
Advanced Data Analytics for BusinessSM Analytics for Business IIZiyue LiKLIPS
Case Project Digital TransformationSM Information Systems INikolaus SchmidtKLIPS
Sustainable Digital Innovation LabSM Information Systems IKatharina Drechsler,
Stefan Seidel,
Christian Hovestadt		Course Page
KLIPS
Digital DesignSM Information Systems IIChristoph Rosenkranz,
Florian Wagner		Course Page
KLIPS
Applied Mathematical OptimizationSM Information Systems IIIWolfgang Ketter,
Saber Talari,
Lennard Sund		Course Page
KLIPS
Decision Making under UncertaintySM Information Systems IIIZiyue LiKLIPS

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