Computer Science

Master of Science; tuition language: English

The following English language content is for information purposes only. The legally binding content can be found on the corresponding German website.

Please note:

If the required entrance competencies cannot be verified based on the submitted application documents, applicants will be required to take a 90-minute written Entrance Exam held on campus at TU Darmstadt (no remote or off-site sittings possible).

The Entrance Exam usually takes place in the first week of September for applicants for the winter semester and in the first week of March for applicants for the summer semester.

Submission of valid GRE or GATE scores meeting the specified thresholds may qualify applicants for exemption from the Entrance Exam.

Description

In the more research-oriented Master of Science-programme in Computer Science, which is taught in English, students expand and focus their subject-specific and interdisciplinary competencies from a previous Bachelor's programme. The programme allows specialization in Data Science & Engineering, Visual Computing, OR Distributed Computing. It is therefore aimed at students who wish to become specialists in these fields and are more likely to pursue an international career.

Module Handbook

Study Regulations with Semester Course and Examination Schedule

Course Catalogue

Departmental programme information

Department of Computer Science

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Semesters 4
Language English C1. Individual courses can be offered in German. Scientific literature may have to be read and edited also in German.
Start of studies Winter semester, summer semester
Internship ---
Admission requirements 1. A degree B.Sc. Informatik of TU Darmstadt (reference programme) or an equivalent degree;

2. English at C1 (GER) level;

3. additional requirements:
Entrance requirements verification
Competences description
Admission procedure Provided that the admission requirements (entrance examination) are met, there are no numerical admission restrictions.

If the entrance competencies could not be clearly clarified positively or negatively within the formal entrance examination, a substantive entrance examination onsite at TU Darmstadt is then conducted.
Dates for the entrance exam:
August/September for the subsequent winter semester; February/March for the subsequent summer semester
Application Application portal and application deadlines
How and when to provide the certification of the bachelor's degree
Formal and language requirements for applicants with international qualifications

Please note:
You may apply to several degree programs in total; however, from the following list, you may select only one: M.Sc. Artificial Intelligence and Machine Learning, M.Sc. Computer Science, M.Sc. IT Security.
Good to know Costs and budget
Preparatory courses for international students
Pre-Courses, orientation week, getting started
Double Degree Programme
Study Abroad
Part-time studies
Doctoral Studies
TU Darmstadt Career Service
Alumni careers

TU Darmstadt Career Service

Alumni careers

Graduates of the Master’s programme in Computer Science programme have excellent career prospects in both industry and research. This degree prepares students for specialist and leadership roles in fields such as data science, distributed and networked systems, embedded systems, human-computer interaction, computer graphics, computer vision, high-performance computing, and software engineering.

Computer scientists are in demand across a wide range of sectors, including automotive and aerospace, finance and insurance, telecommunications, consulting, healthcare, and public institutions. Typical roles include software engineer, data analyst, research engineer, system architect, R&D specialist, and technical project manager.

Students benefit from TU Darmstadt’s strong research environment, which includes internationally recognised research groups and collaborative initiatives such as the university’s research field Information and Intelligence, the National Research Center for Applied Cybersecurity ATHENE, and the Hessian Center for Artificial Intelligence (hessian.AI). These research networks provide opportunities for project work, theses, and pathways into doctoral studies.