Course of Study International Management and Engineering (Study Cohort w23)

Sample course plan E Master International Management and Engineering (IWIMS)
Specialisation II. Information Technology

Legend:
Core Qualification Compulsory	Specialisation Compulsory	Focus Compulsory	Thesis Compulsory
Core Qualification Elective Compulsory	Specialisation Elective Compulsory	Focus Elective Compulsory	Interdisciplinary complement


Quantitative Methods - Statistics and Operations Research
Quantitative Methods - Statistics and Operations Research	VL	3
Quantitative Methods - Statistics and Operations Research	GÜ	2


Economics
Main Theoretical and Political Concepts	VL	2
International Economics	VL	2
Economics	PBL	1


Project Seminar IWI
Project Seminar IWI	PS	3


Master Thesis


Institutional Environment of International Management
Business Environment of Selected Countries	PBL	4
Research Methods in International Management	VL	2


Organization and IT of international companies and supply chains
Logistics and Information Technology	VL	2
Organization and Process Management	PBL	3


Technology Management
Technology Management	VL	3
Technology Management Seminar	PBL	2


Accounting
Financial Accounting and Finance	VL	2
Management Accounting and Capital Budgeting	VL	2


Business Optimization - Advanced Operations Research
Business Optimization and Operations Research	VL	2
Seminar Operations Research	SE	2
Project: Modelling in Operations Research	PBL	1


Digital Economics
Digital Economics	VL	2
Digital Economics	PBL	2


International Business
International Management	VL	2
Business-to-Business Marketing	VL	2
Intercultural Management and Communication	VL	2


Management Control
Management Control	SE	2
Management Control	VL	3


Intelligent Autonomous Agents and Cognitive Robotics
Intelligent Autonomous Agents and Cognitive Robotics	VL	2
Intelligent Autonomous Agents and Cognitive Robotics	GÜ	2


Production and Logistics Management
Strategic Production and Logistics Management	VL	2
Operative Production and Logistics Management	VL	2
Strategic Production and Logistics Management	PBL	1


Machine Learning and Data Mining
Machine Learning and Data Mining	VL	2
Machine Learning and Data Mining	GÜ	2

Non-technical Courses for Master (from catalogue) - 6LP

The choice of courses from the catalogue is flexible (depends on the semestral work load), provided the necessary number of required credits is reached.