Curriculum

Digital Business Innovation and Transformation

Master degree programme / Part-time

1. Semester

Course Type SWS ECTS
Digital Business Processes and Strategies
Business Models and Analysis
Digital Business Analysis ILV 2 4
Global Business Models VO 2 4
Digital Business Essentials
Digital Trends VO 2 4
Strategy and Organisational Design VO 2 3
Digital Trends and Digital Innovation
Digital Process Management & Innovation ILV 2 4
Innovation Theories VO 2 3
Research and Master Thesis
Research Methods WK 2 4
Data Management and Data Analysis
Data Management and Data Analysis I ILV 2 4

2. Semester

Course Type SWS ECTS
Data Management and Data Analysis
Data Management and Data Analysis II ILV 2 4
Digital Trends and Digital Innovation
Digital Transformation and Process Management ILV 2 4
Digital Business Processes and Strategies
Digitalisation of Value Chains VO 2 4
Transformation Methods
Innovation Methods and Controlling
Human Centred Innovation WK 2 4
Innovation Controlling ILV 2 4
Research and Master Thesis
Master Thesis Coaching Seminar WK 1 2
Leading Digital Transformation and Innovation
Transformation Management
Project Management WK 2 4
Change and Transformation Management VO 2 4

3. Semester

Course Type SWS ECTS
Data Management and Data Analysis
Data Management and Data Analysis III ILV 2 3
Human-Computer-Interaction WK 2 3
Digital Business Processes and Strategies
Human Development and Communication VO 2 3
Leading Digital Transformation and Innovation
Innovation Lab WK 4 6
Research and Master Thesis
Master Thesis (I) DA 0 12
Transformation Methods
Corporate Foresight VO 2 3

4. Semester

Course Type SWS ECTS
Data Management and Data Analysis
Data Management and Data Analysis IV ILV 2 3
Digital Trends and Digital Innovation
Culture, Leadership and Attitude
Digital Leadership ILV 2 3
Ethics VO 1 2
Digital Trends and Innovation WK 2 2
Digital Business Processes and Strategies
Risks and Laws
Legal Awareness VO 2 3
Corporate Risk Management ILV 1 2
Research and Master Thesis
Master Exam DA 0 5
Master Thesis (II) DA 0 10


: WS17/18