Each module contains 3 ECTS. You choose a total of 10 modules/30 ECTS in the following module categories:
- 12-15 ECTS in technical scientific modules (TSM)
TSM modules teach profile-specific specialist skills and supplement the decentralised specialisation modules. - 9-12 ECTS in fundamental theoretical principles modules (FTP)
FTP modules deal with theoretical fundamentals such as higher mathematics, physics, information theory, chemistry, etc. They will teach more detailed, abstract scientific knowledge and help you to bridge the gap between abstraction and application that is so important for innovation. - 6-9 ECTS in context modules (CM)
CM modules will impart additional skills in areas such as technology management, business administration, communication, project management, patent law, contract law, etc.
In the module description (download pdf) you find the entire language information per module divided into the following categories:
- instruction
- documentation
- examination
Modules: 14
The goal of this module is to help students to further develop their knowledge and skills in academic writing and presenting through the medium of English. Students will learn what it means to write academic texts and to present to an audience in an accurate, appropriate, and convincing manner. The module is divided into a writing and a presenting part.
The writing part of the module focuses on key document types…
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Explore moreIn an environment that is changing increasingly quickly, students will be taught the ability to assume social responsibility either as engineers or in management functions at companies. They will develop a profound awareness of the ethical aspects of their actions and for the ecological and social impacts of companies. In their subsequent professional careers, they will thus be better able to judge the consequences…
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Explore moreIn the Privacy and Law module, students gain an awareness of the threats to privacy & laws in the fast changing digital society and are prompted to reflect on values in the historical and intercultural context.
Students acquire an overview (system and reference knowledge) of actual legal aspects that have not been specifically covered in either the vocational baccalaureate or in the Bachelor's degree course. In the…
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Explore moreThe CM_QRM addresses the most relevant basics in integrated quality and risk management. Theory is applied and specified by examples and case studies. The module concentrates on current standards and best practices on quality and risk management and introduces the most established approaches.
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Explore moreThis module introduces students with different categories of advanced algorithms and typical application areas.
In the first part of the module, the students will have a sound understanding of data structures and algorithms for efficiently handling either very large, complex or dynamic data sets or combinations thereof. They will be able to evaluate suitable algorithms and to apply them to typical tasks such as…
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Explore moreStudents are introduced to statistical tools used in the industrial sector, and particularly in process and quality control. In this module, students learn to plan and conduct statistical evaluations independently.
Please note: An MSE cursus may not contain both similar statistics modules FTP_AppStat and FTP_PredMod. Students can only choose one of these modules.
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Explore moreThis course provides the mathematical fundamentals of cryptography and coding theory and illustrates them with numerous practical examples.
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Explore moreMachine learning (ML) emerged out of artificial intelligence and computer science as the academic discipline concerned with “giving computers the ability to learn without being explicitly programmed” (A. Samuel, 1959). Today, it is the methodological driver behind the mega-trend of digitalization. ML experts are highly sought after in industry and academia alike.
This course builds upon basic knowledge in math,…
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Explore moreThis course offers an introduction to optimization, emphasizing basic methodologies and underlying mathematical structures. Optimization refers to the application of mathematical models and algorithms to decision making. A large number of quantitative real-world problems can be formulated and solved in this general framework. Applications of optimization comprise, for instance, decision problems in production…
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Explore moreThis course aims to provide students with an in-depth understanding of current network security technologies and their application in solving technical security challenges. Upon completion of the course, students will be able to analyze, design and implement secure network infrastructures, using state-of-the-art security technologies and best practices. They will also develop an understanding of emerging network…
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Explore moreThe course will first cover the basic knowledge required in the field of computer security, such as the CIA principles (confidentiality, integrity, availability), as well as data security and safety.
The module will build on this foundation to provide students with a comprehensive overview of how to identify and assess threats and risks. Students will then be able to propose and implement a set of mitigation…
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Explore moreThis module is designed to provide a practical introduction to Cyber Security Operations. Students will learn about different operational security functions like SOCs, CERTs, DFIR teams, CTI and Hunt teams, Red and Blue teams, and the tools they use to detect and respond to cyber criminal activity. The module provides in depth coverage of digital forensics.
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Explore moreThis module provides an understanding of the fundamental principles of the security of Operational Technology (OT) in an industrial context. The module will cover the standards, key concepts and methodologies involved in securing OT systems commonly used in industrial environments, such as factories, power plants, and other critical infrastructure.
The module will begin by
exploring particularities of OT…
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Explore moreStudents shall gain an overview over current methods for software assurance. This may include, but is not limited to,
* advanced techniques for automated debugging; and
* advanced techniques for formal correctness of programs.
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