Master degree programme: Computer Science
The Master's programme in Computer Science provides advanced education in specialized topics within the field. It builds on a Bachelor's degree in Computer Science or closely related programmes. Admission from other fields of study is possible with certain prerequisites to ensure equivalent foundational knowledge.
At a glance
The Master’s programme in Computer Science provides comprehensive, well-founded methodological knowledge along with in-depth education in theoretical, practical, and technical computer science, including artificial intelligence and machine learning. Building on a Bachelor’s degree in Computer Science (or a closely related field), the programme enables you to work independently and critically using scientific methods.
Unlike the Bachelor’s programme, the Master’s has few mandatory courses, giving you the flexibility to tailor your studies to your interests. You may choose to pursue a broad range of knowledge or specialise in areas of your choice. With small class sizes, you’ll benefit from excellent, individualised support in lectures, projects, and seminars.
Computer science is a driver of innovation and a key technology across research, industry, and society. Our universal, research-oriented programme prepares you for challenging and dynamic roles in both academic and non-academic research and development across diverse sectors.
Highlights
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Small group sizes in lectures and practical sessions ensure excellent and personalised support.
- Personalised focus through flexible course selection.
- Teaching opportunities that include participation in research projects.
- Individual specialisations through flexible course selection.
- Renowned computer science faculty in the CHE ranking.
- Active student community with regular events and activities.
Before the Study
Examination Modules
The Master's programme in Computer Science consists of a total of 120 credits and, according to the current examination regulations for 2018, comprises the following assessment areas:
- Theoretical Computer Science (at least 5 credits)
- Practical Computer Science (at least 5 credits)
- Technical Computer Science (at least 5 credits)
- Elective Area (from theoretical, practical, and technical computer science: 61 credits)
- Seminar (4 credits, exactly one seminar)
- Scientific Project Work (10 credits, exactly one project module)
- Master's Thesis (30 credits)
Core Structure
The Master's programme in Computer Science is structured into seven module groups, each contributing to a balanced and comprehensive curriculum. Each module group has a specific credit point requirement, but within these, you have the flexibility to choose courses that align with your interests and career goals. The core modules cover foundational knowledge in theoretical, practical, and technical computer science, each requiring 5 credit points. Elective modules allow you to shape your study focus, adding depth to topics through lectures and practical sessions.
Specialisations in Computer Science
The programme offers specialised tracks within theoretical, practical, and technical computer science to deepen your expertise across diverse research and application fields. Areas for specialisation include advanced topics like:
- 3D Printing and Resource-Efficient Production
- Autonomous Driving and Flying
- Big Data, Data Mining, and Process Mining
- Biomedical Data Science and Digital Health Applications
- Real-Time Systems in Aerospace
- Embedded Systems
- Industry 4.0
- Human-Machine and Human-Robot Collaboration
- Machine Learning and Artificial Intelligence
- Mechatronic Systems and Robotics
- Multimodal Human-Machine Interaction
- Organic Computing, Ad-hoc and Sensor Networks
- Parallel and Distributed Systems
- Quantum Computing
- Safety-Critical Systems
- Software Engineering for Business Applications
- Geographic Information Systems
Research and Projects
The programme’s structure provides multiple pathways to apply your skills in both academic and industry contexts. You will engage in a seminar and complete a scientific project work module, allowing hands-on experience in a chosen topic. During the Master's thesis, you’ll apply your knowledge to real-world research or industry-oriented projects. The institute’s resources span a wide array of topics, including AI, bioinformatics, digital health, and secure systems, giving you the tools to contribute to both academic and practical advancements in computer science.
The Master's programme in Computer Science 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.
1. Semester
Total: 30 CPs
2. Semester
Total: 30 CPs
3. Semester
Total: 30 CPs
4. Semester
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.
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.
Timetables
For the compulsory and core courses of the degree programme, the faculty prepares a timetable, which also includes some elective courses. Please note that there is no distinction made between different examination regulations.
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 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 (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.
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.
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.
A Master's degree in Computer Science is an advanced qualification for roles in private companies, public institutions, and both academic and non-academic research, opening up a broad range of career opportunities:
Core Computer Science
A degree in Computer Science opens the door to a diverse range of careers in the field of computer science and IT, including:
- Programming
- Software engineering
- Systems analysis
- Web technologies
- Networking
- Process automation
- Data analysis / Big Data
- AI / Machine Learning
Other Sectors
As a modern interdisciplinary science, computer science supports the process of digitalisation across many areas of application. The knowledge gained from subsidiary subjects also offers graduates numerous opportunities to apply what they have learned in other fields. Consequently, there are career entry opportunities in nearly all sectors, including:
Vehicle and aircraft development; production and logistics; urban and regional planning; consumer electronics; telecommunications; media technology; advertising and marketing; consulting; medical technology; robotics; home appliance technology and infrastructure development.
Do you want to stay in touch with your fellow students and meet them again at a variety of network events? Then join the → University of Augsburg's alumni network.
Qualification Objectives
The Master’s degree programme in Computer Science 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 theoretical and mathematical foundations relevant to computer science.
By participating in seminars and research projects, students acquire advanced knowledge in various areas of computer science and enhance their ability to work and conduct research independently.
Graduates are well-prepared for demanding careers in companies, public institutions, and both academic and non-academic research. They can pursue roles across diverse fields, including production and logistics, software development, systems administration, research, and consulting.
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.
- Phone: +49 821 598 - 2134
- Phone: +49 821 598 - 5916
- Phone: 0821 / 598-2255