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

Sample course plan A  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
Semester 1FormHrs/wk
Semester 2FormHrs/wk
Semester 3FormHrs/wk
Semester 4FormHrs/wk
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
Product Planning
Product PlanningVL3
Product Planning SeminarPBL2
8
9
10
11
12
13
Accounting
Corporate FinanceVL2
Management and Financial AccountingVL4
Marketing (Sales and Services / Innovation Marketing)
PBL Marketing of InnovationsPBL1
Marketing of InnovationsVL4
Project and Negotiation Management
Project ManagementVL2
Negotiation ManagementPBL3
Open Project Exercise1
14
15
16
17
18
19
International Business
International ManagementVL2
Business-to-Business MarketingVL2
Intercultural Management and CommunicationVL2
EIP and Productivity Management
Elements of Integrated Production SystemsPBL2
Productivity ManagementPBL2
Productivity Management1
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.