Master degree programme: Computer Science in Engineering
What to expect
In the Master's programme Computer Science in Engineering, both graduates of the related Bachelor's programme and graduates of related fields of study can further enhance their skills as engineering computer scientists. In the spirit of a hybrid programme, various engineering competencies are consolidated and expanded alongside computer science. As a result, graduates are optimally prepared for their future jobs in areas such as robotics, mechatronics, automation and production technology, mechanical engineering, or lightweight technology.
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Unlike the related Bachelor's programme, there are no mandatory courses in the Master's programme Computer Science in Engineering. Here, you can freely choose from the areas of "Software & Systems Engineering," "Technical Computer Science and Adaptive Systems", as well as "Mechatronics and Production" to enhance the competencies you are interested in. This allows you to create a course profile tailored to your personal skills and interests: whether broad-based or specialized in one specific direction, the choice is yours.
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Highlights
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Campus university with a lake and a park landscape
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Small group sizes in lectures and internships offer excellent and individual support
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Renowned Faculty of Computer Science according to the CHE-Ranking
- Research-oriented specialization opportunities in the Master's programme
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Study trips to cooperation partners in research and industry
Contents
The Master's program in Engineering Computer Science is divided into five module groups, each requiring a specific number of credit points to be earned. You are free to choose the specific courses you want to take within each module group.
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Just like a complex machine, complex software is also constructed. This module group offers courses to learn techniques for the construction of software and entire software systems. In total, 18 credit points need to be earned here, which corresponds to approximately 3 modules. Some modules in this group are:
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- Aerial Robotics
- Internship Autonomous Driving
- Software Engineering
- Industrial Robotics
- Software for Industry 4.0
When it comes to speed and lightweight design, very low-level programming is still used today, for example, in almost all types of control units. This is especially the case for systems interacting with their environment. This module group offers courses from the field of hardware-oriented computer science and adaptive systems. In this module group, 18 credit points must be earned. Some modules from this group are:
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- Machine Learning and Computer Vision
- Self-Organizing Systems
- Safety-Critical Systems
- Embedded Systems
What has caught your interest in particular? In this module group, you can earn additional 18 credit points from the advanced elective courses in the areas of Systems Engineering, hardware-oriented computer science, and adaptive systems. Some modules from this group are:
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- Automotive Software Engineering
- Organic Computing
- Software for Industry 4.0
- Internship Self-Learning Systems
Cars, robots, and production lines are typical examples of mechatronic systems. In this area, you will learn how to digitally design such systems. In this module group, you can even earn 36 credit points. Some modules from this group are:
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- Digital Factory
- Intelligently connected Production
- Simulation of Cyber-Physical Systems
- Intelligent Signal Analysis in Medicine
In the final module (usually also tackled in the final semester), there are no more lectures to be attended. You will spend a total of six months working on your Master's thesis, which is accordingly credited with 30 credit points. The decision of whether you prefer to work on an applied - for example, an industrial project - or research-oriented topic is again up to you. After submitting your thesis (and after its examination by your professor), you have reached your goal and can now call yourself a Master of Science!
Career Outlook
Mechanical engineering is heading towards Industry 4.0. Machines are becoming electrified, autonomous, and interconnected. For their construction, neither software knowledge nor mechanical engineering knowledge is sufficient by itself. Only the combination of both allows the visions of tomorrow to become reality today.
The automobile is on its way to becoming the largest and most expensive smart device. Innovative micro-mobility vehicles, such as e-scooters bookable via app, are conquering our cities. Shape the future of mobility through the fusion of computer science knowledge and engineering expertise!
Robots are increasingly perceiving their environment more accurately and they are interacting more with humans. At the same time, they are being designed to be increasingly flexible and lightweight. Think across disciplines and shape the future!
Today, airplanes take off and land automatically as a routine. In the future, air taxis are set to conquer the skies. Do you not only want to join the flight but also take part in shaping the future?
The digitization of the operating room is advancing. Doctors are increasingly supported in their work by robots. This can only be achieved through a clever interplay of software and technology.
Further Information
Current information on the degree programme, admission procedure and application as well as current dates can be found on the homepage of the Faculty of Applied Computer Science:
/en/fakultaet/fai/
General information on studying at the University of Augsburg can be found on the following webpage:
/en/studium/
