First Semester
Big-Data-Architecture & -Infrastructure (5 CP)
- Enterprise architecture management (EAM)
- Technological requirements for big data
- Vital infrastructures for data-driven business models
- Complex processing by continuous data sets
Decision Focussed Management (6 CP)
- Traditional decision theory
- Management decisions from a psychological perspective
- Decisions in a strategy context
Leadership & Sustainability (6 CP)
- Leadership as part of normative, strategic and operative business management and in the context of diversity management
- Leadership styles, techniques and instruments
- Ethics and sustainability
Big Data Analytics (6 CP)
- Data sources and data classification
- Visual analytics / data discovery / explorative data analysis
- AI methods such as machine learning
- Computational intelligence: fuzzy logic, neuronal networks, evolutionary algorithms
Deutsch (6 CP)
- Fundamentals in listening, reading, writing and speaking
- Basic grammatical skills
- Application in situations of everyday life
Second Semester
Applied Programming (6 CP)
- Basic principles and application of programming languages for big data: SQL, R and Python
- Languages and tools for data management
- Data integration
- ETL v. ELT (data lake)
Analysis of semi- & unstructured Data (5 CP)
- Crawling and pre-processing
- Text mining / web mining
- Social media analysis
- Ontologies
- Semantic and graphic modelling/technologies
Project management of Big-Data-Projects (5 CP)
- Planning, management and control of dig data projects
- Challenges, specific features and success factors of big data project management
- Architectural and technological features
- Introduction of big data applications
- Integration and harmonisation of data sources and planning of data analyses and reporting
Area of application: Business Analytics (5 CP)
- Goals and fields of activity for big data applications
- Sector and type of data sources
- Application of processes such as association analysis, decision tree process, neuronal networks, cluster analysis
Ethics & Law (5 CP)
- Ethical aspects of the use of big data
- Legal aspects of the use of big data
- Compliance
Information-Security (6 CP)
- Technical Basis
- Data protection and data privacy
- Risk analysis / type of threats
- Attack vectors and scenarios
- ISMS
Third Semester
Big-Data-Consulting Project (6 CP)
- Selection of an area of application for the analysis project
- Data storytelling
- Addressing a management issue
- Data acquisition, processing and analysis
- Preparing findings for management
Quantitative Data Analysis (5 CP)
- Qualitative and quantitative research methods
- Quantitative data analysis (applications with R, statistical test methods, multivariate processes)
Big-Data-Analysis Project (6 CP)
- Selection of an area of application for the analysis project
- Project work with first independently produced data analysis
Strategic Business Model Development (5 CP)
- Results of big data analyses as drivers of business model development
- Planning of big data strategy/business analytics strategy
- Strategy approaches and strategic planning and management instruments
- Data-based business models and business transformation
- Open innovation/innovation management
Applied Project I (6 CP)
Fourth Semester
Master Thesis
Applied Project II
