Admission requirements

To be admitted to the degree program, applicants must have completed a general university entrance qualification (Abitur) or a comparable university entrance qualification.

German language requirements

International applicants and German applicants with a foreign university entrance qualification are kindly advised to read the requirements for German-language courses.

Information regarding Studienkolleg

Applicants with a foreign university entrance qualification that does not grant them direct access to university education in Germany pursuant to the qualification comparability regulations of the Standing Conference of the Ministers of Education and Cultural Affairs must attend a Preparatory College (Studienkolleg) prior to studying. You can acquire the subject-specific university entrance qualification here. Further information can be found on the website of the Preparatory College (Studienkolleg).
This degree program relates to the following specialized course at the Studienkolleg:
T-course

General information about the degree program

IT is everywhere: technologies such as data analytics, robotics, machine learning and computer vision are shaping our future. A high-performance IT infrastructure is a must for every company, and software is in almost everyone. Computer science creates the conditions for digital transformation. In this versatile scientific discipline, you will learn everything about digital information, its systematic processing, storage and transmission. Computer science seeks suitable structures and methods to develop complex systems and design them efficiently and securely. The Computer Science diploma course is an alternative to the Bachelor's/Master's degree and offers a number of advantages: the continuous course of study includes a six-month internship, which allows you to spend time abroad. You can also study other subject areas in the “non-computer science supplement” and thus open up new areas of knowledge for interdisciplinary tasks.

Study contents

The diploma course in Computer Science comprises 10 semesters including a one-semester work placement or internship abroad. Structurally, the course is divided into two areas - the foundation course, which concludes with the intermediate diploma and teaches you the basics of computer science, and the advanced course, which offers you individual design options with an increasing focus on research and concludes with the diploma.

In addition to mathematics, the foundation course covers the analysis, design and implementation of information processing systems and examines their static structure and dynamic behavior. You can put the theoretical foundations you have learned to the test in the first semester in the RoboLab introductory internship. Here you will work in a team to develop applications for a robot and gain your first project experience. In the hardware internship, you will get to know different circuits. During the software technology project in the fifth semester, you will acquire practical and engineering knowledge for the implementation of software projects.

In the main study program, you can choose from the diverse research areas of our faculty for your future orientation. Here you will become an expert and choose from the following subject areas according to your interests:

- Theoretical Computer Science and Symbolic Artificial Intelligence: formal modeling and analysis as well as algorithmic treatment of models, construction and programming of intelligent systems
- Software Technology and Programming Languages: design patterns, software management, compiler construction and compiler design
- Secure Computing: fundamentals of data security, cryptography and confidential computing
- Systems Architecture: fundamentals of operating systems, databases, data science, structure and properties of computer networks and systems engineering
- Cyber Physical Systems: Design and control of application systems in industrial communication and traffic engineering
- Visual Computing and Machine Learning: Fundamentals of visualization techniques and machine learning
- Human-Computer Interaction and Interactive Media: Multimodal user interfaces, immersive media and advanced multimedia interaction
- Computer Engineering and High Performance Computing: Fundamentals and structure, design and efficient use of technical implementations of computer systems, embedded systems as well as parallel and high-performance computing

In addition to a sound technical education in computer science, you will acquire key skills such as teamwork, communication and languages, which will prepare you for professional life.

Mandatory internship during studies

6 months

Occupational fields

Software developer
Web designer
Programmer
Administrator
Research institutions
Authorities and companies
Universities in research and teaching
Planning companies
Healthcare sector

Study documents

The official announcements of TU Dresden include all published regulations . Please use the search bar to find the document you need: Official proclamation

The regulations are also available on each institution’s website.

Contacts

Central Student Information and Counselling Service

Faculty of Computer Science

Admissions Office

International Office

Additional information