Course of Study International Management and Engineering (Study Cohort w21)

Sample course plan C  Master International Management and Engineering (IWIMS)
Specialisation II. Information Technology
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Core Qualification CompulsorySpecialisation CompulsoryFocus CompulsoryThesis Compulsory
Core Qualification Elective CompulsorySpecialisation Elective CompulsoryFocus Elective CompulsoryInterdisciplinary complement
LP
1
Quantitative Methods - Statistics and Operations Research
Quantitative Methods - Statistics and Operations ResearchVL3
Quantitative Methods - Statistics and Operations Research2
Economics
Main Theoretical and Political ConceptsVL2
International EconomicsVL2
EconomicsPBL1
Project Seminar IWI
Project Seminar IWIPS3
Master Thesis
2
3
4
5
6
7
Institutional Environment of International Management
Business Environment of Selected CountriesSE3
Research Methods in International ManagementVL1
Foundations in Organizational Design and Human Resource Management
Foundations in Organizational Design and Human Resource Management VL2
Foundations in Organizational Design and Human Resource Management SE2
Advanced Topics in Management, Organization, and Human Resource Management
Advanced Topics in Management, Organization, and Human Resource ManagementVL2
Advanced Topics in Management, Organization, and Human Resource ManagementSE2
8
9
10
11
12
13
Accounting
Corporate FinanceVL2
Management and Financial AccountingVL4
Management Control
Management ControlSE2
Management ControlVL3
Strategic Management
Strategic ManagementVL4
14
15
16
17
18
19
International Business
International ManagementVL2
Business-to-Business MarketingVL2
Intercultural Management and CommunicationVL2
Technology Entrepreneuship
EntrepreneurshipVL2
Creation of Business OpportunitiesPBL3
Intelligent Autonomous Agents and Cognitive Robotics
Intelligent Autonomous Agents and Cognitive RoboticsVL2
Intelligent Autonomous Agents and Cognitive Robotics2
20
21
22
23
24
25
Production and Logistics Management
Strategic Production and Logistics ManagementPBL3
Operative Production and Logistics ManagementVL2
Machine Learning and Data Mining
Machine Learning and Data MiningVL2
Machine Learning and Data Mining2
26
27
28
29
30
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.