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Das Masterstudium AI-Augmented Software Engineering qualifizieren für gefragte Rollen in Softwareentwicklung, AI Engineering und digitalen Produktteams.

Degree programme: Master, Work-friendly
AI-Augmented Software Engineering

Study track of the Master’s degree programme in Applied Computer Science
Subject to approval by the relevant bodies.

The AI-Augmented Software Engineering study track in the Master’s Degree programme in Applied Computer Science combines software engineering, artificial intelligence, DevOps, cloud-native applications, software architecture and test automation. You will develop scalable, AI-powered software systems and gain the skills required for sought-after roles in modern software development, AI engineering and digital product teams.

The AI-Augmented Software Engineering study track in the Master’s Degree programme in Applied Computer Science combines software engineering, artificial intelligence, DevOps, cloud-native applications, software architecture and test automation. You will develop scalable, AI-powered software systems and gain the skills required for sought-after roles in modern software development, AI engineering and digital product teams.

Academic Degree
DiplomingenieurIn (DI)
Mode of Study
Work-friendly / 4 Semesters / 120 ECTS
Language of instruction
German
Head of Degree Programme
Campus
Current application period (for winter semester) until:
Tuition Fee (for citizens of EU/EEA countries and Switzerland)

Did you know, …

… that the degree programme combines modern software development with Artificial Intelligence?

You learn how to integrate AI components and machine learning models into software systems and develop powerful AI-powered software systems.

Did you know, …

… that you explore the entire architecture of modern software systems during your studies?

From scalable software architectures and frontend, backend, and API technologies to microservices, cloud-native applications, and cross-platform development, you develop a broad skill set for complex software projects.

Did you know, …

… that quality assurance and automation are key components of the degree programme?

You work with automated software testing, CI/CD, DevOps, and system monitoring as well as data-intensive and concurrent systems, preparing you for roles in modern software and product teams.

Did you know, …

… that the study schedule is specifically designed to allow you to combine your studies with part-time employment?

Thanks to bundled on-campus days, you can combine the degree programme with relevant employment of up to two days or 16 hours per week. Choosing a master’s thesis topic related to your professional work can create additional synergies between your studies and career.

The programme on

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