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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.

 

Mandatory Subjects

Principles in Applied Economics (12 ECTS)
 

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Empirical Economics WS 4
KS (Course) Microeconomics I WS 4

 

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

Course Type Courses Winter/Summer semester ECTS Credits
IK (Intensive Course) Empirical Economics WS 2
IK (Intensive Course) Microeconomics I WS 2
KS (Course) New Economy WS + SS 4
KS (Course) Gesundheitsökonomomie SS 3
KS (Course) Managerial Economics WS + SS 3
KS (Course) Finanzmarkttheorie (new) WS 4
KS (Course) Feminist Economics SS 4


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

Course Type Courses Winter/Summer semester ECTS Credits
KV (Combined Course) Introduction to Digital Transformation and Technologies WS + SS 6
KV (Combined Course) Software Development with Python WS 6


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

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Strategic Management: Master Course Creating Strategic Advantages WS + SS 6
KS (Course) Managerial Accounting: Master Course Managerial Accounting WS + SS 6
KS (Course) Financial Accounting: Master Course Financial Accounting WS + SS 6


Principles in Analytic Methods (24 ECTS)
 

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Intermediate Econometrics SS 4
IK (Intensive Course) Intermediate Econometrics SS 2
KS (Course) Decisions in Firms SS 6
UE (Exercise) Data Mining SS 4
VL (Lecture with laboratory exercise) Data Mining SS 2
KS (Course) Operations Research WS 4
IK (Intensive Course) Operations Research WS 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 Winter/Summer semester ECTS Credits
KS (Course) Managerial Economics 2 WS 4
KS (Course) Regulation & Antitrust SS 4
KS (Course) Organization WS + SS 6
KS (Course) Marketing Management WS + SS 6
SE (Seminar) Seminar aus Organization and Markets   4


Financial Economics
 

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


Digital Economy
 

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

 

Health
 

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Health Economics II WS 4
KS (Course) Epidemiology and Empirical Health Economics SS 4
KS (Course) Strategic Management Accounting in Healthcare Institutions WS 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 Winter/Summer semester ECTS Credits
KS (Course) Treatment Evaluation WS 4
IK (Intensive Course) Treatment Evaluation WS 2
KS (Course) MicroEconometrics SS 4
KS (Course) Financial and Macroeconometrics SS 4
KS (Course) Programming, Data Management and Visualization WS 4
KS (Course) Game Theory WS 4
IK (Intensive Course) Game Theory WS 2
VL (Lecuture with laboratory exercise) Datenmodellierung WS 3
UE (Tuturial) Datenmodellierung WS 3
VL (Lecuture with laboratory exercise) Data Warehousing WS 3
UE (Tutorial) Data Warehousing WS 3
SE (Seminar) Computational Logistics: Optimization WS 6
SE (Seminar) Computational Logistics: Metaheuristics SS 6
IK (Intensive Course) Programming for Business Tasks SS 6
KS (Lecuture with laboratory exercise) Qualitative and behavioral research methods WS 6
VL (Lecutre with laboratory exercise) Visual Analytics WS 3
KV (Combined Course) Statistical Principles of Data Science WS + SS 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.

 

(New:) Industrial Organization and Supply Chain Management*

 

Course Type

Courses

Winter/Summer semester

ECTS Credits

Module Operations and Supply Chain Management WS + SS 6
IK (Intensive Course)

Advanced Production, Logistics and Supply Chain Management

  3
KS (Course)

Managerial Economics 2

  4
KS (Course)

Regulation and Antitrust

  4
SE (Seminar)

Decision Support in Production, Logistics and Supply Chain Management

  3
SE (Seminar)

Industrial Organization and Supply Chain Management

  4

*approval pending

Master's Thesis Seminar (1 ECTS Credit)

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

What should I write my thesis about?

In the optimal case, the topic of your thesis should be based and measured on your own interests. Therefore, it is advisable that you consult supervisors of the courses in which you find most interest to get a better view over what is possible. Your thesis topic should be of interdisciplinary nature spanning the field of economic and business analytics. 

If the main focus is economics, we encourage you to take a look at the research areas of the Department of Economics. If the main focus is business analytics, we encourage you to take a look a the research projects of the JKU Business School

Besides the data available at the institutes and departments, there are uncountable publicly accessible database. A few examples are:

Theses that have been completed in recent years can be found in the JKU library (see lisss.jku.at and search, e.g., for ‘masterarbeit volkswirtschaft’). Some examples to show the heterogeneity of topics are:

  • Changing rules: How do increased costs of risk affect the risk taking of men and women in a competitive setting?
  • The Impact of Oil Demand and Supply Shocks on Consumer Sentiment: Its Nature and Transmission Channels
  • Intergenerational mobility across Austria: Patterns and drivers
  • The Split Health Care System of Austria - Econometric Insights into Health Care Funds
  • The Piketty-Saez Model of Optimal Inheritance Taxation: A Critical Appraisal and Some Extensions

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