The Swiss engineering master's degree

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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In an environment that is changing increasingly quickly, students will be taught the ability to assume social responsibility either as engineers or in management functions in 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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In the Privacy and Law module, students gain an awareness of the threats to privacy 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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This 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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Students 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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This course provides the mathematical fundamentals of cryptography and coding theory and illustrates them with numerous practical examples.

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Machine 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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This 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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This 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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This 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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Students shall gain an overview over current methods for software assurance. This includes

• automatic test case minimisation;
• negative test case generation ("fuzzing");
• side channels and their avoidance ("constant-time computing");
• security implications when designing safety systems
  
• exposure to standards-compliant software development;
• software verification and validation;
• safe testing according to the standards; and
• f…

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