First Semester at Don Bosco School of Management

Big-Data-Architecture & -Infrastructure

  • 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

  • Traditional decision theory
  • Management decisions from a psychological perspective
  • Decisions in a strategy context


Leadership & Sustainability

  • 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

  • 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

  • Fundamentals in listening, reading, writing and speaking
  • Basic grammatical skills
  • Application in situations of everyday life

Second Semester at Don Bosco School of Management

Applied Programming

  • 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

  • Crawling and pre-processing
  • Text mining / web mining
  • Social media analysis
  • Ontologies
  • Semantic and graphic modelling/technologies


Project management of Big-Data-Projects

  • 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

  • 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


Research Methods

  • Qualitative and quantitative research methods
  • Quantitative data analysis (applications with R, statistical test methods, multivariate processes)


IT-Security

  • Data protection and data privacy
  • Risk analysis / type of threats
  • Attack vectors and scenarios
  • IT security guidelines

Third Semester at FOM Hochschule

Big-Data-Consulting Project

  • 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


Ethics & Law

  • Ethical aspects of the use of big data
  • Legal aspects of the use of big data
  • Compliance


Big-Data-Analysis Project

  • Selection of an area of application for the analysis project
  • Project work with first independently produced data analysis


Strategic Business Model Development

  • 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


Praxisproject I


Fourth Semester at FOM Hochschule

Master Thesis

Praxisproject II