Course of Study International Management and Engineering (Study Cohort w22)

Sample course plan D  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
Strategic Management
Strategic ManagementVL4
8
9
10
11
12
13
Accounting
Financial Accounting and FinanceVL3
Management Accounting and Capital BudgetingVL3
Marketing (Sales and Services / Innovation Marketing)
PBL Marketing of InnovationsPBL1
Marketing of InnovationsVL4
Entrepreneurial Finance
Entrepreneurial Finance: LectureVL2
Entrepreneurial Finance: Case StudiesSE3
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.