Program Details.

The new curriculum since Winter Semester 2021/2022

Mandatory Subjects (48 ECTS)

Principles in Applied Economics, Digital Transformation and Technologies (24 ECTS Credits)

Type of Course Course Title Winter/Summer Semester ECTS Credits
KS (Course) Empirical Economics WS 3
IK (Intensive Course) Empirical Economics WS 3
KS (Course) Intermediate Microeconomics WS 3
IK (Intensive Course) Intermediate Microeconomics WS 3
KV (Combined Course) Introduction to Digital Transformation and Technologies SS 6
VL (Lecture with laboratory exercise) Introduction to Software Development with Python for Economic and Business Analytics WS 3
UE (Tutorial) Introduction to Software Development with Python for Economic and Business Analytics WS 3

 

If you have already take courses as part of the admission-based program, you may choose from the following courses:

 

Type of Course Course Title Winter/Summer Semester ECTS Credits
KS (Course) New Economy WS+SS 3
KS (Course) Health Economics SS 3
KS (Course) Managerial Economics WS + SS 3
KS (Course) Game Theory WS 3
IK (Intensive Course) Game Theory WS 3
KS (Course) Financial Markets WS 3
KS (Course) Managerial Accounting WS + SS 6
KS (Course) Financial Accounting WS + SS 6
KS (Course) Creating Strategic Advantages WS + SS 6
IK (Intensive Course) Programming for Business Tasks SS 6
KV (Combined Course) Strategic IT-Planning WS + SS 6

Principles in Analytic Methods (24 ECTS Credits)

Type of Course Course Title Winter/Summer Semester ECTS Credits
VL (Lecture with laboratory exercise) Data Mining SS 3
UE (Tutorial) Data Mining SS 3
KS (Course) Decisions in firms WS 6
KS (Course) Operations Research WS 3
IK (Intensive Course) Operations Research WS 3
KS (Course) Treatment Evaluation SS 3
IK (Intensive Course) Treatment Evaluation SS 3

 

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

Type of Course Course Title Winter/Summer Semester ECTS Credits
KS (Course) Managerial Economics 2 WS 4
KS (Course) Regulation and Antitrust SS 4
KS (Course) Marketing Management WS + SS 6
KS (Course) Organization WS + SS 6
SE (Seminar) Seminar Organization and Markets   4

 

Digital Economy and Supply Chain Management

Course Type Courses Winter/Summer Semester ECTS
VU (Lecture and Exercice) Online Marketplace SS 6
KS (Course) Economics of Digital Markets SS 4
KS (Course) Operations and Supply Chain Management WS + SS 3
IK (Intensive Course) Operations and Supply Chain Management WS + SS 3
IK (Intensive Course) Advanced Production, Logistics and Supply Chain Management SS 3
SE (Seminar) Decision Support in Production, Logistics and Supply Chain Management WS + SS 3
SE (Seminar) Seminar Digital Economy and Supply Chain Management   4

 

Health

Type of Course Course Title Winter/Summer Semester ECTS Credits
KS (Course) Health Management SS 6
KS (Course) Epidemiology and Empirical Health Economics SS 4
KS (Course) Health Economics II WS + SS 4
KS (Course) Strategic Management Accounting in Healthcare Institutions WS 4
KS (Course) Health Law WS 6
SE (Seminar) Seminar Health WS 21/22 4

Financial Economics

Type of Course Course Title Winter/Summer Semester ECTS Credits
KS (Course) Monetary Economics: Theory and Policy WS 21/22 4
KS (Course) Investment-Management (Advanced) WS + SS 3
KS (Course) Corporate Finance WS + SS 6
KS (Course) Banking SS 4
KS (Course) Financial Economics and Risk WS 4
SE (Seminar) Seminar Financial Economics   4

Analytic Methods I

Type of Course Course Title Winter/Summer Semester ECTS Credits
KS (Course) Game Theory WS 3
IK (Intensive Course) Game Theory WS 3
KS (Course) Programming, Data Management and Visualization WS 4
KS (Course) Financial and Macroeconometrics SS 4
KS (Course) Microeconometrics SS 4
VL (Lecture with laboratory exercise) Visual Analytics WS 3
IK (Intensive Course) Programming for Business Tasks SS 6
KV (Combined Course) Statistical Principles of Data Science WS + SS 6
VL (Lecuture with laboratory exercise) Data Warehousing WS 3
UE (Tutorial) Data Warehousing WS 3
VL (Lecuture with laboratory exercise) Data modeling WS 3
UE (Tuturial) Data modeling WS 3
KS (Course) Feminist Economics SS 4
SE (Seminar) Computational Logistics: Optimization WS 6
SE (Seminar) Computational Logistics: Metaheuristics SS 6
SE (Seminar) Seminar Analytic Methods   4

 

Analytic Methods II

The list is identical with modules/courses in the elective subject area of Analytic Methods I however, you may only complete one of the modules/courses not yet taken in Analytic Methods I.

Program Details: Curriculum 2019 and 2020*

*Students who started before WS 21/22 can complete Economic and Business Analytics in curriculum 2019 or 2020 until the end of September 2023.

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

 

Mandatory Subjects (48 ECTS)

Principles in Applied Economics (12 ECTS)
 

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Empirical Economics WS 3
KS (Course) Intermediate Microeconomics WS 3

 

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

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Feminist Economics SS 4
IK (Intensive Course) Empirical Economics WS 3
IK (Intensive Course) Intermediate Microeconomics WS 3
KS (Course) New Economy WS + SS 3
KS (Course) Health economics SS 3
KS (Course) Managerial Economics WS + SS 3


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


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

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


Principles in Analytic Methods (24 ECTS)
 

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Decisions in Firms WS 6
IK (Intensive Course) Operations Research WS 2
KS (Course) Operations Research WS 4
VL (Lecture with laboratory exercise) Data Mining SS 3
UE (Exercise) Data Mining SS 3
KS (Course) Intermediate Econometrics SS 3
IK (Intensive Course) Intermediate Econometrics SS 3

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.

 

Industrial Organization and Supply Chain Management

Course Type

Courses

Winter/Summer semester

ECTS Credits

IK (Intensive Course) Operations and Supply Chain Management WS 3
KS (Course) Operations and Supply Chain Management WS 3
KS (Course) Managerial Economics 2 WS 4
KS (Course) Regulation and Antitrust SS 4
SE (Seminar) Seminar Organization and Supply Chain Management WS 4
IK (Intensive Course) Advanced Production, Logistics and Supply Chain Management WS 3
SE (Seminar) Decision Support in Production, Logistics and Supply Chain Management WS 3

 

Organization and Markets

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Managerial Economics 2 WS 4
KS (Course) Regulation and Antitrust SS 4
KS (Course) Marketing Management WS + SS 6
KS (Course) Organization WS + SS 6
SE (Seminar) Seminar Organization and Markets   4

 

Financial Economics

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Monetary Economics: Theory and Policy WS 21/22 4
KS (Course) Investment Management (Advanced) WS + SS 3
KS (Course) Corporate Finance WS + SS 6
KS (Course) Banking SS 4
KS (Course) Financial Economics and Risk WS 4
SE (Seminar) Seminar Financial Economics   4

 

Digital Economy
 

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Economics of Digital Markets SS 4
VU (Lecture and Exercise) Online Marketplace 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 Digital Economy   4

 

Health
 

Course Type Courses Winter/Summer semester ECTS Credits
KS (Course) Change Management in Healthcare   6
KS (Course) Epidemiology and Empirical Health Economics SS 4
KS (Course) Health Economics II WS 4
KS (Course) Strategic Management Accounting in Healthcare Institutions WS 4
SE (Seminar) Seminar Health   4


Analytic Methods I
 

Course Type Courses Winter/Summer semester ECTS Credits
IK (Intensive Course) Game Theory WS 2
KS (Course) Game Theory WS 4
KS (Course) Programming, Data Management and Visualization WS 4
KS (Course) Financial and Macroeconometrics SS 4
KS (Course) Microeconometrics SS 4
VL (Lecutre with laboratory exercise) Visual Analytics WS 3
IK (Intensive Course) Programming for Business Tasks SS 6
KV (Combined Course) Statistical Principles of Data Science WS + SS 6
KS (Course) Treatment Evaluation WS 4
IK (Intensive Course) Treatment Evaluation WS 2
VL (Lecuture with laboratory exercise) Data Warehousing WS 3
UE (Tutorial) Data Warehousing WS 3
VL (Lecuture with laboratory exercise) Data modeling WS 3
UE (Tuturial) Data modeling WS 3
SE (Seminar) Computational Logistics: Optimization WS 6
SE (Seminar) Computational Logistics: Metaheuristics SS 6
SE (Seminar) Seminar Analytic Methods   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

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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