Information Engineering

The combination of large amounts of data, software to analyze it, and hardware for putting it to practical use holds enormous potential for development, production, and distribution processes in a wide range of industries. Students in the English-language Master’s degree program Information Engineering (M.Sc.) at campus Heilbronn learn to analyze and develop such cyber-physical systems and to transform them into innovative business models. The program covers in-depth specialist and methodological knowledge in the field of Informatics complemented by fundamental skills in Information Technology and Economics. Students deal with aspects of sensor technology for data collection, with the development of advanced algorithms and machine learning approaches to evaluate information and with the application of the knowledge gained in this way to implement automated and semi-automated decisions in cyber-physical systems, as well as with the development of business models that utilize these systems. Here, students have the option to choose an individual focus in the areas of Generative Artificial Intelligence, Software Engineering, Process Mining, Data Visualization, or Numerical Linear Algebra. In all stages of the process, they consider the requirements placed on such systems by the law, compliance, and social and environmental responsibility. Graduates of the program are experts in IT systems and in embedding them into IT and business processes. They are able to analyze large amounts of data and make it usable in advanced technical systems and innovative business models. They are thus highly qualified for industry jobs, particularly in the field of Research and Development, as well as for advanced scientific work as part of a doctorate. For a comprehensive description of the program, please refer to the degree program documentation: Degree program documentation for the Master’s program in Information Engineering (PDF, German ) Program structure The degree program includes the required modules Fundamentals in Information Engineering , in which students acquire in-depth knowledge along the information life cycle, the 5-credit module Machine Learning that teaches the principles of selecting optimal learning algorithms for the optimization of cyber-physical business systems, and the Advanced Topics of Software Engineering module (5 credits), that delves into aspects of creating software products that can be used to achieve high scalability, maintainability, robustness, testability, and portability of business systems. In order to acquire application skills, students work on a practice-oriented problem in cooperation with a practice partner in the Advanced Practical Course Information Engineering module. In the 5-credit Master Seminar Information Engineering module, students work on an initial theory-oriented, more complex question from the field of information engineering, which they complete with a scientific paper. In addition to the required modules, students can choose elective modules worth 44 credits of the Electives in Information Engineering according to their individual interests and inclinations in order to address specific design issues in the elementary sub-areas that make up cyber-physical business systems. An important part of the end-to-end design of cyber-physical business models is their economic requirements analysis, initial development, operation, efficiency and effectiveness analysis, evaluation and further development. Students can further develop these skills to the extent of 12 credits in modules of the Electives in Management and Economics . In order to develop the ability to reflect on one’s own actions with regard to social expectations and consequences, the Master’s program in Information Engineering offers electives in the area of Ethics in Information Engineering (3 credits), in which specific issues relating to data protection, ethical responsibility in companies and project teams, technology dependency or the influence of new media on individuals are dealt with. Language of instruction The language of instruction for this program is English. Academic Regulations:

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