The learning objectives of the Master programme

The practice-oriented Master program DIGITAL TECHNOLOGIES aims to qualify students further so they can take on social responsibility and are able to autonomously work scientifically. Hence, the Master program broadens and deepens the basic interdisciplinary, technical and methodological competences of computer science and chosen fields of application and enables students to work analytically and scientifically in a way exceeding the scope of a Bachelor program.

In the interdisciplinary and practice-oriented projects, students learn to what extent and what areas digitalization can be applied to. The ethical aspects of the technical possibilities are also considered. In the interdisciplinary projects involving several cohorts of students and due to the agile work culture, students experience different roles and responsibilities. These competences enable them to make democratically and societally responsible decisions

Graduates should confidently apply their knowledge, skills and abilities developed during their studies to solve problems in their working environment. All necessary competences in addition to abstract and analytical thinking will be developed in this program.

Competencies

As digitalization specialists, graduates should be able to think creatively and critically and to react to new professional and technological challenges. The focus of the study program lies on the ability to recognize interdisciplinary connections and social impacts and to consider them in one’s own responsible actions.

The Master program qualifies the students to independently take on elaborate and innovative tasks from the field of digitalization. It aims to promote the autonomy, the judgment and the decision-making ability of the students. Graduates should be able to responsibly take on leadership tasks and complete other tasks successfully.

The following COMPETENCIES are addressed:

  • Conceptualizing and evaluating technical framework conditions
  • Critically examining and realizing economic and legal framework conditions
  • Realizing and evaluating political and social framework conditions
  • Critical thinking and making rational and ethically justifiable decisions
  • Discussing topics and problems with colleagues, and logically and convincingly explaining decisions
  • Collaborating interdisciplinarily and at different levels and take on leadership responsibilities

Skills

One key feature of the Master program is the high proportion of project work which conveys interdisciplinary thinking and acting upon the graduates. Applying scientific methods, graduates should be able to detect and derive different challenges at the interface of computer science and a field of application, and model and implement innovative solutions.

Students of this program develop the following skills:

  • Abstracting and modeling interdisciplinary scientific, technical and economic problems and questions
  • Fathoming, choosing, applying and analyzing design and implementation methods for systems and processes
  • Autonomously developing interdisciplinary ideas and concepts to solve scientific, technical and economic problems and questions
  • Organizing primary and secondary data, evaluating specialized sources of information and independently drawing up publications
  • Exploring, comparing, evaluating and refining existing processes and systems

Knowledge

Due to the course contents and the high practice-orientation of teaching, graduates of the Master program DIGITAL TECHNOLOGIES are able to quickly adapt to the working environment and the task fields of a company. Profound knowledge in selected fields of computer science and broad knowledge in fundamental areas of engineering should enable graduates to actively participate in projects and complete their jobs. More necessary skills are developed during the program...

Developed knowledge in the field of COMPUTER SCIENCE:

  • Methodological knowledge for problem analysis, design and realization and knowledge of the current state of research in selected areas of mathematics and computer science
  • Methodological knowledge for problem analysis, design and realization and knowledge of the current state of research in fundamental areas of engineering
  • Methodological knowledge for problem analysis, design and realization and knowledge of the current state of research in selected areas of software engineering
  • Fundamental and profound knowledge of essential fields of economy and law, management, communication and coordination
  • Methodological knowledge for problem analysis, design and realization in empirical and scientific work

Developed knowledge in the field of application AUTONOMOUS SYSTEMS:

  • Methodological knowledge for problem analysis, problem-solving and the current state of research in chosen fields of radio sensor technology, radio technology and radio networks
  • Methodological knowledge and profound knowledge of functional security of electronic/programmable systems, technical reliability and software testing/security.
  • Fundamental and profound knowledge of autonomous traffic systems
  • Profound knowledge of relevant technology environments for autonomous systems
  • Methodological knowledge and profound skills of core technologies relevant to autonomous systems (especially regarding autonomous traffic systems)

Developed knowledge in the field of application CIRCULAR ECONOMY AND ENVIRONMENTAL TECHNOLOGY:

  • Methodological knowledge for problem analysis, problem-solving and the current state of research in chosen fields of circular economy, environmental technology, planning and logistics
  • Creative, methodological and analytical knowledge of information-driven disposal systems as well as planning, control and prognosis of source/material flows both in the company-internal context and on the regional level
  • Fundamental and profound knowledge of circular economy, recycling and basic operations of waste processing
  • Processes and legal framework conditions in building planning
  • Methodological knowledge of application and enhancement of mathematical simulation models

Developed knowledge in the field of application DIGITAL TRANSFORMATION:

  • Theoretical and methodological knowledge of innovation, finance and risk management and business model development
  • Knowledge, analysis and evaluation of components and success factors of digital transformation
  • Practical and problem-solving competences in the field of digital transformation and different areas of management
  • Creative, reflective and methodological knowledge of coordination, communication, methodology and management
  • Analysis and critical examination of empirical and scientific findings

Developed knowledge in the field of application ENERGY:

  • Explaining and evaluating characteristics of different energy production facilities and typical energy consumers and developing energy concepts for different applications
  • Applying calculation and simulation tools to model and simulate energy systems
  • Understanding and evaluating the interaction of energy supply, generation and demand as well as understanding functionality of storage and control in the system context
  • Understanding and evaluating systematic connection of the electricity industry
  • Analyzing, understanding and evaluating a random energy system

Developed knowledge in the field of application INDUSTRY 4.0:

  • Methodological knowledge to create and apply complex systems with interprocess communication
  • Methodological knowledge of development methods and on their selection as well as typical software frameworks for solving concrete tasks
  • Methodological knowledge of product development and product data management
  • Methodological knowledge of production processes and their application
  • Applying methods of artificial intelligence

Developed knowledge in the field of application MOBILITY:

  • Knowledge of characteristics of traffic systems and modes of transport, and drive systems in view of future needs and challenges
  • Knowledge of the necessity of new business models in the field of mobility solutions. Evaluation of strategic positions of companies and derivation of business strategies
  • Knowledge of sustainability of mobility considering various aspects, influences and effects of new technologies
  • Planning and development of intermodal transportation offers
  • Understanding and ability to explain the fundamentals of mobility, the change and impact of mobility services, and to apply basic methods and techniques to mobility case studies