Learning objectives for the Master's programme

 

 

The learning objectives of the master's program

The main objectives of the master's program DIGITAL TECHNOLOGIES are, in addition to enabling students to be socially engaged, to enable them to work independently in scientific fields, to achieve a high level of application competence and to qualify them for further careers. For this reason, the master's program broadens and deepens the fundamental interdisciplinary, technical and methodological competencies of computer science and selected fields of application and enables students to work analytically and scientifically based critically beyond the goals of a bachelor's degree.

It is precisely through the interdisciplinary and application-oriented projects that students learn in which areas and to what extent digitization can find its way into society. Ethical aspects of the technical possibilities are also considered. In addition, students experience different roles and responsibilities through the interdisciplinary and cross-semester projects and the agile working culture. These competencies enable them to act in a socially and democratically responsible manner.

Graduates should be able to confidently apply the knowledge, skills and abilities acquired during their studies in the professional environment to solve problems. The interdisciplinary competencies required for this, in addition to the ability to abstract and analyze, are also taught during the course of study.

Hund.png
  • Lernziel #1:

    Competencies

    Graduates should be able to act creatively and critically as digitization specialists and respond to new professional and technological challenges. The focus of the program is on the ability to recognize interdisciplinary contexts and social effects and to take them into account responsibly in one's own actions.

    The master's program qualifies students for independent, demanding and innovative activities in the field of digitization. It is intended to promote the students' independence, ability to make judgments and decisions. Graduates should be able to assume responsibility for the fulfillment of professional tasks and for others in managerial positions.

    The following COMPETENCIES are addressed:

    • Evaluate and design technical frameworks
    • Recognize and critically assess economic and legal frameworks in an application-oriented manner
    • Recognize and assess political and social framework conditions
    • Make rational and ethically justifiable decisions and think critically
    • Communicate about interdisciplinary content and problems with peers and articulate decisions logically and convincingly
    • Collaborate interdisciplinarily and at different levels and exercise leadership responsibilities

     

     

  • Lernziel #2:

    Skills

    The DIGITAL TECHNOLOGIES master's degree program is characterized by a high proportion of project work and is designed to teach graduates interdisciplinary thinking and action. With the help of scientific methods, graduates should be able to identify and derive the various challenges at the interface between computer science and an application area, and to model and implement innovative approaches to solutions.

    To this end, graduates will be taught the following SKILLS in the program:

    • Abstract and model interdisciplinary scientific, technical, and/or economic problems and issues independently.
    • Penetrate, select, apply, and analyze design and implementation methods for systems and processes
    • Independently develop interdisciplinary ideas and concepts to solve scientific, technical, or business problems and issues.
    • Structure relevant secondary and primary data, evaluate specialized information sources, and prepare independent publications
    • Explore, compare and evaluate existing processes and systems and develop them further

     

  • Lernziel #3:

    Knowledge

    Graduates of the master's program are able to quickly integrate into the work and task field of a company due to the course content and the practical relevance of the teaching. Through in-depth knowledge of selected areas of computer science as well as broad knowledge of essential engineering fields, graduates will be enabled to actively participate in projects and operational tasks. In addition, further necessary knowledge is imparted during the study...

    Imparted knowledge in the field of INFORMATICS:

    • Methodical knowledge for problem analysis, design and realization and knowledge of the current state of research in selected areas of mathematics and computer science.
    • Methodical knowledge for problem analysis, design and realization and knowledge about the current state of research in essential engineering-scientific areas.
    • Methodical knowledge for problem analysis, design and realization and knowledge about the current state of research in essential areas of software engineering
    • Basic and advanced knowledge of essential fields of economics and law as well as leadership, communication and coordination
    • Methodical knowledge for problem analysis, design and realization in the field of empiricism and scientific working methods

    Imparted knowledge in the application field of AUTONOMOUS SYSTEMS:

    • Methodical knowledge for problem analysis, solution finding and the current state of research in selected areas of radio sensor technology, radio technology and radio networks
    • Methodological knowledge and in-depth knowledge in the areas of functional safety for electronic/programmable systems, technical reliability and testing/securing of software
    • Basic and in-depth expertise in the area of autonomous systems in traffic
    • In-depth expertise in environmental technologies relevant to autonomous systems
    • Methodological knowledge and in-depth knowledge of core technologies relevant for autonomous systems (especially autonomous systems in traffic)

    Imparted knowledge in the application area CIRCULAR ECONOMY AND ENVIRONMENTAL TECHNOLOGY:

    • Methodological knowledge of problem analysis, solution finding and implementation, and the current state of research in selected areas of the circular economy, environmental engineering, and planning and logistics
    • Design, methodological, and analytical knowledge related to information-driven waste management systems as well as planning, directing, and forecasting material/material flows, both in the corporate context and at the regional level
    • Basic and advanced knowledge of the circular economy, recycling, and basic waste treatment operations
    • Processes and legal framework in building planning
    • Methodical knowledge for the application and further development of mathematical simulation models

    Imparted knowledge in the application field DIGITAL TRANSFORMATION:

    • Theoretical and methodological knowledge in the field of innovation, finance and risk management as well as for the development of business models
    • Knowing, analyzing and evaluating components and success factors of digital transformation
    • Problem-solving and application skills in the area of digital transformation and the various management areas
    • Designing, reflecting and methodical knowledge in coordination, communication, methodology and leadership
    • Analysis and critical examination of empirical and scientific results

    Imparted knowledge in the application area ENERGY:

    • Explain and evaluate characteristics of different energy generation plants and typical consumers, and develop energy concepts for different applications
    • Apply calculation and simulation tools for modeling and simulation of energy systems
    • Recognize and evaluate the interaction of energy supply, generation and demand as well as the functionality of storage and control in the system context.
    • recognize and evaluate systematic interrelationships in the electricity industry
    • analyze, understand and evaluate any energy system

    Imparted knowledge in the application area INDUSTRY 4.0:

    • Methodological knowledge of the design and application of complex systems with inter-process communication.
    • Methodical knowledge of development methods and their selection as well as typical software frameworks for the implementation of concrete tasks.
    • Methodical knowledge of product development and product data management
    • Methodical knowledge of manufacturing processes and their application
    • Applications of artificial intelligence methods

    Imparted knowledge in the application area of MOBILITY:

    • Students have knowledge of the specifics of transportation systems and modes as well as drives against the background of future demands and challenges.
    • Students have knowledge of the need for new business models in the field of mobility solutions. They are able to determine strategic positions of companies and derive business strategies.
    • The students have knowledge of the sustainability of mobility from different points of view and of the influences and effects of new technologies.
    • Students will be able to plan and design intermodal transport services.
    • The students are able to explain the basics of mobility as well as the change and the importance of mobility services and to apply the essential methods and techniques on the basis of mobility-related case studies.