Master degree programme: Computer Science in Engineering

Before the Study

Examination Modules

 

The Master's programme in Computer Science in Engineering comprises a total of 120 credits and, under the current examination regulations of 2016, includes the following modules:
 

  • Software and Systems Engineering (minimum of 18 ECTS)
  • Technical Informatics and Adaptive Systems (minimum of 18 ECTS)
  • Elective Area: Software and Systems Engineering / Technical Informatics and Adaptive Systems (minimum of 18 ECTS)
  • Mechatronics and Production (minimum of 36 ECTS)
  • Master’s Thesis (30 ECTS)
     

Specialisation in Engineering Informatics

 
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Building on the foundational knowledge gained during a Bachelor’s programme, this Master’s degree provides advanced education across a wide range of technical disciplines. Students enhance their expertise in:
 

  • Software and Systems Engineering  Including courses such as Internship in Autonomous Driving, Software Engineering, and Industrial Robotics.
  • Technical Computer Science and Adaptive Systems Exploring advanced topics like Machine Learning and Computer Vision, Self-Organising Systems, Safety-Critical Systems, and Embedded Systems.
  • Mechatronics and Production Providing in-depth training through modules such as Digital Factory, Intelligently Connected Production, Simulation of Cyber-Physical Systems, and Intelligent Signal Analysis in Medicine, fostering both practical and interdisciplinary skills.

 

Application and Practice

 

Peter Krönes

This Master's programme offers numerous opportunities to expand knowledge and apply skills to real-world challenges:
 

  • Advanced Elective Courses: Customise your studies by 18 additional credits through advanced electives in Systems Engineering, Hardware-Oriented Computer Science, and Adaptive Systems. Examples of modules include: Automotive Software Engineering, Organic Computing and Software for Industry 4.0.
  • Optional Internships: Gain hands-on experience through practical placements.
  • Master’s Thesis: Culminate your studies with a six-month research or applied project, typically undertaken in the final semester. Whether you choose an industry-focused topic or a research-oriented challenge, the thesis is your opportunity to showcase and deepen your expertise.

 

The Master's programme in Computer Science in Engineering is structured for a standard duration of 4 semesters. The sample study plan provides a recommended approach for completing the programme within this timeframe. Deviations may occur depending on individual study trajectories. Enrolment is available in both the winter and summer semesters.

 

© University of Augsburg

1. Semester

Software and Systems Engineering
6 CPs
Technical Computer Science and Adaptive Systems
6 CPs
Elective Area: Software and Systems Engineering
/ Technical Computer Science and Adaptive Systems

6 CPs
Mechatronics and Production
12 CPs

Total: 30 CPs

2. Semester

Software and Systems Engineering
6 CPs
Technical Computer Science and Adaptive Systems
6 CPs
Elective Area: Software and Systems Engineering
/ Technical Computer Science and Adaptive Systems

6 CPs
Mechatronics and Production
12 CPs

Total: 30 CPs

3. Semester

Software and Systems Engineering
6 CPs
Technical Computer Science and Adaptive Systems
6 CPs
Elective Area: Software and Systems Engineering
/ Technical Computer Science and Adaptive Systems

6 CPs
Mechatronics and Production
12 CPs

Total: 30 CPs

4. Semester

Master's Thesis
30 CPs

Total: 30 CPs

Introduction for First-Year Students in Computer Science

We offer in-person welcome sessions for Computer Science in both the Bachelor’s and Master’s programmes. Access to the welcome session is through our teaching platform, Digicampus. To register there, you will need your IT account details ("RZ-Kennung"), which you will receive after enrolment.

 

to the website

University Entrance Qualification

 

Application Information

International University Entrance Qualification

 

General Information

During the Study

To help make the start of your studies as smooth as possible, we've gathered all essential information for new Computer Science students in one place:
Here, you'll find everything you need for a successful beginning to your academic journey.

Course Catalogue

All the courses offered in the current semester, including lecturers, rooms, and times, can be found in Digicampus. These are also compiled here in accordance with your degree programme and examination regulations.

At the turn of the semester, the courses for the following semester are usually available around four weeks before the start of term.

 

 
 

Exam Schedule

The faculty maintains a central exam schedule, where lecturers register the exams. You will also find links to the exam schedules of other faculties, such as for minor subjects or interdisciplinary degree programmes.

 

Exam Schedule - Institute of Computer Science

Exam dates for the Institute of Computer Science are listed here.

 

For most examination-related issues, the  Examinations Office is your primary point of contact, including:
 

  • Problems with exam registration in "Studis"
  • Registration of final theses
  • Issuance of certificates and transcripts

FAQs from the Examinations Office
 

 

For more complex issues, the Examination Board is responsible. Applications are also submitted through the Examinations Office. Common topics include:
 

  • Deadline extensions (e.g., for "Orientierungsprüfung", overall study time, final theses)
  • Compensation for disadvantages
  • Recognition of prior study and examination achievements

Examination Regulations

The examination regulations establish the guidelines for the degree programme, such as:
 

  • Scope and content of module groups
  • Mandatory and optional courses within the module groups
  • Scope of examinations
  • Deadlines, such as for orientation exams or the maximum duration of study
  • Types and progression of examinations

Examination regulations are divided by area of application and build on each other. Over time, the examination regulations are modified to develop the degree programme further. The version that applies to you is the one in force at the time of your enrolment in its consolidated form. You can check this information in the "Studis" system.

 

Subject-specific Examination Regulations MSc Computer Science in Engineering (all valid regulations)

Faculty Examination Regulations of the Faculty of Informatics
General Examination Regulations of the University of Augsburg

 

Module Handbook

The module handbook lists a catalogue of potential courses and provides details on these courses. The specific courses you are required or allowed to take are determined by the examination regulations. Not every course is offered every semester; please refer to the timetable and Digicampus for more information.
The information provided includes, among other things:
 

  • The person responsible for the module
  • Course content
  • Learning objectives
  • Examination format
  • Allocation to the module group (see examination regulations)
  • Contact hours/Workload
  • Recommended semester

The module handbook changes slightly from semester to semester and depends on the degree programme and examination regulations. The information in the module handbook can also be found on Digicampus.

 

Here you can find the current exam dates.
Here you can find information about final theses at the Institute of Computer Science.

The University of Augsburg and the Faculty of Applied Computer Science offer numerous support services:

 

Central Student Advisory Service

The Central Student Advisory Service provides a broad range of support on non-subject-specific topics such as learning advice, self- and time management, psychological and systemic counselling, studying with disabilities, studying with a family, social and legal advice ("Studentenwerk"), career entry and orientation (Career Service), studying abroad and support for international students (International Office).

 

Student Advise and Counselling Service
 

 

Dean of Studies

The Dean of Studies at the FAI offers advice on teaching, examinations, support services, and teaching evaluations. However, the Dean of Studies is not responsible for individual study counselling or planning.

 

 

Examination Board

For more complex queries related to exams, recognitions, and applications, it may be helpful to consult directly with the chair of the Examination Board.

 

 

Subject-Specific Counselling and Other Contacts

The subject-specific advisors for each degree programme provide individual feedback on study-related questions such as course progression, choosing minor subjects/specialisations/internships, and preparing applications.

 

Here you can find information about studying computer science abroad.

After the Study

Once all academic requirements have been completed, you must apply for your degree certificate. You can find details on this process on the  Examinations Office website.

Here you will find information on doctoral studies at the Institute of Computer Science at the University of Augsburg.

Studying Computer Science in Engineering opens up a wide range of career opportunities, including:

 

 

Mechanical Engineering

Bildlizenzen von Shutterstock.com.
Mechanical engineering is heading towards Industry 4.0. Machines are becoming electrified, autonomous, and connected. Neither software knowledge nor mechanical engineering expertise alone is sufficient for their construction. Only the combination of both will bring tomorrow’s visions to life today.

Mobility

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The car is on its way to becoming the largest and most expensive smart device. Innovative micro-mobility vehicles, such as app-bookable e-scooters, are taking over our cities. Shape the future of mobility by merging computer science and engineering expertise!

Robotics

Bildlizenzen von Shutterstock.com.
Robots are increasingly able to perceive their environment more accurately and interact more with humans. At the same time, they are becoming more flexible and easier to design. Think across disciplines and help develop the future!

Aerospace

Bildlizenzen von Shutterstock.com.
Aircraft today routinely take off and land automatically. In the future, air taxis are set to conquer the skies. Would you like to not only fly but also be part of this revolution?

Medical Technology

Bildlizenzen von Shutterstock.com.
The digitisation of the operating theatre is advancing. Doctors are increasingly supported by robots in their work. This is only possible through a clever interplay of software and technology.

Do you want to stay in touch with your fellow students and meet them again at a variety of network events?
Then join our University of Augsburg's alumni network.

At the University, students have access to various advisory services on topics related to entrepreneurship and self-employment. You can find further information here.

Qualification Objectives

The Master’s degree programme in Computer Science in Engineering provides students with a comprehensive education, preparing them for a wide range of career opportunities. The qualification objectives include:

 

Students gain an in-depth understanding of the theoretical, mathematical, and physical foundations, as well as advanced knowledge relevant to Engineering Informatics.

Through participation in seminars and research projects, students gain specialised knowledge in various areas of Engineering Informatics and enhance their ability to work and conduct research independently.

Students learn to develop, improve, and apply advanced and innovative concepts, methods, techniques, and technologies in computer science and engineering to identify and solve complex, interdisciplinary challenges.

Students are trained to work independently and precisely, think abstractly and creatively, and expand their knowledge autonomously.
Students gain experience in leading teams and projects and develop the ability to critically discuss problems, define subordinate goals, classify, evaluate, combine, and present intermediate results and ideas.
Students develop essential soft skills necessary for professional success, such as communication, teamwork, and presentation abilities.
Students acquire competencies in interdisciplinary teamwork and learn to interact purposefully with potential users from other disciplines, analysing their needs and developing suitable solutions.
Students become sensitised to ethical issues and societal concerns, fostering a better understanding of the potential impact of their work on society.

Graduates are prepared for demanding careers in companies, public institutions, as well as in academic and non-academic research. They can work in various fields such as vehicle and aircraft development, production and logistics, robotics, and medicine.

FAQs & Contact Persons

Still have questions? Here you will find answers to frequently asked questions and the contact details for academic advising, the dean of studies, and the student representative body—where you can get further assistance.

 

 

 

 

Senior Researcher
Institute for Software & Systems Engineering

Homepage:

Email:

Lehrstuhlinhaber
Lehrstuhl für Mechatronik

Homepage:

Email:

Fachschaft Informatik
Studierendenvertretung Fachschaft Informatik
Department of Computer Science

Email:

Kircher Josef
The small size of the degree programme ensures informal interaction with professors and fellow students and creates a family-like environment in which you enjoy studying.

Josef Kircher,
Graduate Bachelor & Student Master Computer Science in Engineering

Cindy Ebertz
Through an extensive range of projects and internships, the theoretically learned skills are deepened and consolidated without monotony or boredom creeping in.

Cindy Ebertz,
Student Bachelor Computer Science in Engineering

Tobias Thummerer
From industrial robots, self-driving cars and drones to app programming, hacking and artificial intelligence, I was able to develop myself professionally in all directions that interested me.

Tobias Thummerer,
Graduate Bachelor & Master Computer Science in Engineering

Peter Krönes
The large selection of subjects in the module groups makes it possible to individually match the degree programme to one's own interests.

Peter Krönes,
Graduate Master Computer Science in Engineering

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