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Program Details.

Detailed information about the Master's degree program in Economic and Business Analytics is available here.

In order to successfully complete the Master's degree program in Economics and Business Analytics, students are required to take the following courses.

 

Master's Degree in
Economic and Business Analytics

General information is available here:

Mandatory Subjects

Principles in Applied Economics (12 ECTS)
 

Course Type Courses ECTS Credits
KS (Course) Empirical Economics 4
KS (Course) Microeconomics I 4

 

In addition, you must complete 4 ECTS credits from the following course list:

Course Type Courses ECTS Credits
IK (Intensive Course) Empirical Economics 2
IK (Intensive Course) Microeconomics I 2
KS (Course) New Economy 4
KS (Course) Gesundheitsökonomomie 3
KS (Course) Managerial Economics 3
KS (Course) Feminist Economics 4


Principles in Management, Digital Transformation and Technologies (12 ECTS)
 

Course Type Courses ECTS Credits
KV (Combined Courses) Introduction to Digital Transformation and Technologies 6


In addition, you must complete 6 ECTS credits from the following course list:

Course Type Courses ECTS Credits
KS (Course) Strategic Management: Master Course Creating Strategic Advantages 6
KS (Course) Managerial Accounting: Master Course Managerial Accounting 6
KS (Course) Financial Accounting: Master Course Financial Accounting 6


Principles in Analytic Methods (24 ECTS)
 

Course Type Courses ECTS Credits
KS (Course) Intermediate Econometrics 4
IK (Intensive Course) Intermediate Econometrics 2
KS (Course) Decisions in Firms 4
IK (Intensive Course) Decisions in Firms 2
VO (Lecture) Data Mining 4
VL (Lecture with laboratory exercise) Data Mining 2
KS (Course) Operations Research 4
IK (Intensive Course) Operations Research 2

Restricted Electives (36 ECTS)

Complete three of the following electives. Each of the three electives must be at least 10 ECTS credits and all three electives must total a minimum of 36 ECTS credits.

 

Organization and Markets
 

Course Type Courses ECTS Credits
KS (Course) Managerial Economics 2 4
KS (Course) Regulation & Antitrust 4
KS (Course) Organization 6
KS (Course) Marketing Management 6
SE (Seminar) Seminar aus Organization and Markets 4


Financial Economics
 

Course Type Courses ECTS Credits
KS (Course) Financial Economics & Risk 4
KS (Course) Monetary Economics - Theory and Policy 4
KS (Course) Corporate Finance 6
KS (Course) Wertpapier Management (Advanced) 3
KS (Course) Banking 4
SE (Seminar) Seminar aus Financial Economics 4


Digital Economy
 

Course Type Courses ECTS Credits
KS (Course) Economics of Digital Markets 4
KS (Course) Online Marktplätze 6
KV (Combined Course) Software Business 6
VU (Lecture and Exercise) E-Business I 3
VU (Lecture and Exercise) E-Business II 3
SE (Seminar) Seminar aus Digital Economy 4

 

Health
 

Course Type Courses ECTS Credits
KS (Course) Health Economics II 4
KS (Course) Epidemiology and Empirical Health Economics 4
KS (Course) Strategic Management Accounting in Healthcare 4
KS (Course) Human Resources and Leadership in Healthcare 6
KS (Course) Change Management in Healthcare 6
SE (Seminar) Seminar aus Health 4


Analytic Methods I
 

Course Type Courses ECTS Credits
KS (Course) Treatment Evaluation 4
IK (Intensive Course) Treatment Evaluation 2
KS (Course) MicroEconometrics 4
KS (Course) Financial and Macroeconometrics 4
KS (Course) Programming, Data Management and Visualization 4
KS (Course) Game Theory 4
IK (Intensive Course) Game Theory 2
VL (Lecuture with laboratory exercise) Datenmodellierung 3
UE (Tuturial) Datenmodellierung 3
VL (Lecuture with laboratory exercise) Data Warehousing 3
UE (Tutorial) Data Warehousing 3
SE (Seminar) Computational Logistics: Optimization 6
SE (Seminar) Computational Logistics: Metaheuristics 6
IK (Intensive Course) Programming for Business Tasks 6
KS (Lecuture with laboratory exercise) Qualitative and behavioral research methods 6
VL (Lecutre with laboratory exercise) Visual Analytics 3
KV (Combined Course) Statistical Principles of Data Science 6
SE (Seminar) Seminar aus Analytic Methods I 4

 

Analytic Methods II

Identical list with modules/courses from the elective subject area Analytic Methods I, whereby you may only complete one of the modules/courses that have not yet been taken in Analytic Methods I.

Master's Thesis Seminar (1 ECTS Credit)

Course Type Courses ECTS Credits
SE (Seminar) Master's Thesis Seminar 1

 

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Here you will find an overview of general information about the program.