Software Engineering for Embedded Systems (DISC)

Program overview This English-language distance-learning Master of Arts is aimed at software professionals who want to deepen their expertise in the engineering of embedded systems — an area where software now plays a central role (for example, in the automotive industry). The curriculum combines solid theoretical foundations with practical methods, techniques and tools to equip experienced engineers to take on growing software responsibilities within their organisations.

Curriculum highlights and outcomes Modules cover key areas of software engineering for embedded systems, including project management, software quality assurance, software product line engineering, requirements engineering, and software architecture for embedded systems. Students also study component-based and model-based component engineering. Two compulsory elective options include real-time systems and dependability engineering, and machine learning, allowing you to tailor the program toward reliability or data-driven methods. The course is delivered in partnership with the Fraunhofer Institute for Experimental Software Engineering (IESE), bringing applied research and industry relevance into teaching. This format is geared toward working professionals seeking flexible, career-focused graduate study based in Kaiserslautern, Germany.

Key facts and entry expectations

• Degree level: Master of Arts (distance learning)
• Language of instruction: English
• Target audience: professionals in software development / embedded systems engineering
• Location affiliation: Kaiserslautern, Germany (delivered as a distance-learning programme)
• Industry collaboration: offered in cooperation with Fraunhofer IESE
• Example compulsory electives: real-time systems & dependability engineering; machine learning

Note: For formal admission requirements, application deadlines and credit/tuition details, consult the university’s official programme pages or admissions office.

This program uses a blended, distance-learning design that balances independent study with interactive and in-person elements. Core learning resources are comprehensive, scientifically grounded, and practice-oriented self-study materials created by subject-matter experts specifically for distance education. These materials are supported by an online campus that serves as the central interactive platform for discussions, assignments, and course management.

To consolidate the knowledge gained through self-study, the curriculum includes mandatory on-campus phases where theoretical concepts are put into practice. These face-to-face sessions focus on applying and deepening the course content through practical exercises, workshops, and direct contact with instructors and peers.

Learning outcomes

• Develop a solid, research-informed foundation in the relevant topics through carefully designed, expert-authored self-study content.
• Translate theoretical knowledge into applied skills via hands-on activities and guided practice during on-campus phases.
• Benefit from continuous interaction and academic support through the online campus, enhancing problem-solving, collaboration, and professional communication skills.

Requirements and on-campus schedule

• Mandatory on-campus phases each semester, held at IESE in Kaiserslautern.
• Semester 1: three-day on-campus block (Friday to Sunday).
• Semesters 2 and 3: one-week on-campus block each (Saturday to Friday).
• Continuous engagement with self-study materials and participation in the online campus throughout the program.

Graduates are prepared for advanced software engineering roles in domains that rely on embedded systems, such as automotive, industrial automation, aerospace, medical devices and consumer electronics. Typical positions include embedded software engineer, systems/software architect, software quality engineer, product line engineer and technical project lead.

Because the programme is aimed at working professionals and delivered in cooperation with Fraunhofer IESE, graduates can also move into R&D, innovation management or consulting roles that bridge industry and research, and are well-positioned for leadership roles that require both practical experience and up-to-date methodological knowledge in embedded software development.