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 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 CountriesPBL4
Research Methods in International ManagementVL2
Organization and IT of international companies and supply chains
Logistics and Information TechnologyVL2
Organization and Process ManagementPBL3
Technology Management
Technology ManagementVL3
Technology Management SeminarPBL2
8
9
10
11
12
13
Accounting
Financial Accounting and FinanceVL2
Management Accounting and Capital BudgetingVL2
Business Optimization - Advanced Operations Research
Business Optimization and Operations ResearchVL2
Seminar Operations ResearchSE2
Project: Modelling in Operations ResearchPBL1
Digital Economics
Digital EconomicsVL2
Digital EconomicsPBL2
14
15
16
17
18
19
International Business
International ManagementVL2
Business-to-Business MarketingVL2
Intercultural Management and CommunicationVL2
Management Control
Management ControlSE2
Management ControlVL3
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 ManagementVL2
Operative Production and Logistics ManagementVL2
Strategic Production and Logistics ManagementPBL1
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.