Computer science is a young science
Computer science is a young science that brings improvements in all areas of our daily lives. It is an engineering, basic and applied science in equal measure. Computer science is one of the driving forces behind technological progress in society, business and science. It develops innovative information and communication technologies that have a lasting impact on our lives. Computer science creates essential theoretical, technical and practical prerequisites for the increasing digitalization of all areas of work and life.
Job profile and labor market
The job market opportunities for graduates of the Master's degree program in Computer Science are excellent.
Computer science plays a key role in industry. For example, more than 60% of the added value in aircraft development is generated in the area of software and communication technology; in cars, more than 90% of all innovations are related to computer science. The modelling and optimization of business processes and the use of modern information and assistance systems are also unthinkable without IT.
The digital transformation and the development of new technologies are constantly opening up new, attractive fields of activity in industry, trade and services, science and culture, energy and agriculture, banking and insurance, management consultancy and public administration.
Technological progress places high demands on the flexibility and learning ability of computer scientists. We train highly qualified graduates who are equipped to meet the challenges of digital change.
Typical professional fields and areas of activity include
- IT activities in departments for software development and for the design and implementation of information processes in industry, business and administration
- IT specialists in companies in the information and communications sector
- Development, optimization and operation of software systems
- Planning and administration of computer systems and networks
- Design, development and administration of database systems
- Development of algorithms and software components for new hardware
- Hardware development with new circuits, FPGA, microcomputers and sensors
- Experts for the introduction of new solutions in the fields of virtual reality, artificial intelligence, machine learning, data science, robotics and human-machine interaction in companies
- Experts for IT security
- Support, consulting and training for IT solutions
- Management roles in IT departments, IT project management, IT companies and management consulting
- Postgraduate studies and work in universities and research institutions
What makes the degree program in Clausthal special
Our Master's degree program in Computer Science is research-oriented, practical and international. You will learn how modern computer science models, methods and technologies can be used and improved in research and practice. In addition to specializing in selected areas of computer science, you will acquire the technical and methodological foundations of computer science research as well as interdisciplinary knowledge in an application area in which computer science plays an important role as an innovation factor. You will benefit from short distances in Clausthal and low living costs, an excellent supervision ratio and active research cooperation with partners in industry and other universities. We offer you the opportunity to study in an international environment with many international fellow students. We offer the Research Track to students who are particularly qualified and interested in research. In this variant of the curriculum, students complete a one-semester research project in preparation for possible doctoral studies.
Structure of the study program
In the first three semesters, you will complete advanced courses in computer science, courses on the theoretical and methodological foundations of computer science and courses on applications of computer science. You can choose from a wide range of courses and thus tailor your study plan to your individual interests. Exercises, seminars and projects accompanying lectures help you to apply your new knowledge in practice. In the fourth semester, you will complete your Master's thesis under the supervision of experienced academics. The Master's thesis can be written in cooperation with a company. You can develop an in-depth profile by choosing a suitable combination of courses, projects and Master's thesis topic.
- Research methods seminar
- Compulsory elective course in the area of Secure and Cooperative Information Systems
- Compulsory elective courses in the field of Visual and Interactive Computing
- Compulsory elective in the field of Artificial Intelligence
- Compulsory elective in the field of Software Systems Engineering
- Compulsory electives in the field of Data Science and Big Data Technologies
- Compulsory electives in application subjects e.g. Geomatics, Energy Management, Information Technology, Economics, Operations Research, Sport+Technology, Computational Engineering
- Theoretical and methodological foundations
- General basics e.g. English, German and intercultural competence
- Seminars and projects
- Master's thesis
Part-time study
The Master's degree program in Computer Science can also be studied part-time. Further details on the requirements, structure and legal consequences of part-time studies can be found in the "Regulations governing part-time study (TzO)" of Clausthal University of Technology in the currently valid version.
Before applying for and taking up part-time studies, a consultation with the responsible part-time study coordinator is mandatory. During this consultation, the part-time study coordinator will agree on an individual study plan (learning agreement) for the part-time study program in consultation with the student.
Part-time study coordinator:
See academic advisor
The form for applying for part-time study (incl. Learning Agreement) can be found here
Prof. Dr. Thorsten Grosch
Phone: +49 5323 72-7186
Fax: +49 5323 72-7149
E-mail: ma.inf@tu-clausthal.de
Institute of Computer Science
Julius-Albert-Straße 4
38678 Clausthal-Zellerfeld
Prof. Dr. Sven Hartmann
Phone: +49 5323 72-7118
Fax: +49 5323 72-7149
E-mail: sven.hartmann@tu-clausthal.de
Institute of Computer Science
Julius-Albert-Straße 4
38678 Clausthal-Zellerfeld
Overview
Type of program: Master
Duration: 4 Semester
Language of instruction: German / English
Degree: Master of Science (M.Sc.)
Start date: Admission to the winter semester, but also to the summer semester possible.
Akkreditierung: Bescheid des Akkreditierungsrates; EUR-Inf-Label accredited until 30.09.2028
Beginning of studies
Welcome Weeks (before lectures begin)
TU Clausthal supports students as they start their studies with various event formats.
Pre-course in mathematics (before the start of lectures)
The Institute of Mathematics offers a pre-course in mathematics for Bachelor's degree programmes (in German). Master's students who would like to refresh their mathematics knowledge are also welcome to attend this course.
Prerequisites
The program is aimed at graduates of Bachelor's programs in Computer Science or closely related subjects such as Computer Engineering and Software Engineering. It also represents the consecutive continuation of the Bachelor's program in Computer Science at Clausthal University of Technology.
A transition from the Bachelor's programs in Business Informatics, Business Mathematics and Industrial Mathematics to the Master's program in Computer Science is also possible. Through elective options in the elective catalogs, students have the opportunity to make up for any missing courses from the Bachelor’s program of Computer Science.
Documents
Study program flyer
Model curricula
for AFB 2020 only
Part-time study
for AFB 2013 only
Part-time study
Examination regulations
- General Examination Regulations
- Implementation Regulations- New from WS 2020/21
- Implementation Regulations - valid until the end of WS 2023/24
Admission regulations
- Specific admission regulation for Computer Science_NEW as of 04.05.2021
- Specific admission regulation for Computer Science
- General admission requirements
Elective catalogs
for AFB 2020 only
for AFB 2013 only
Module Handbook
for AFB 2020 only
for AFB 2013 only