Computer Science (M.Sc.)
Computer Science
In the Computer Science master’s program, we offer three specializations to address current topics such as artificial intelligence (AI), efficient software development, and innovative user interfaces:
- "Machine Learning": Get ready for the latest developments in the field of intelligent systems. Ranging from voice recognition "Alexa" and modern image recognition to machine control and Industry 4.0, "machine learning" is the central technology of artificial intelligence today.
- "Media Informatics": For example, you will realize interactive installations using sensor technology and physical computing platforms and immerse yourself in virtual worlds, such as augmented and virtual reality, or design the dialog for a new voice control system (conversational user interface).
- "Software & Systems Engineering": From the development of software to the design and operation of entire software systems, you will develop, learn and deepen your knowledge in dealing with a variety of frameworks, state-of-the-art methods and technologies for the planning and implementation of complex software projects and entire applications.
In addition to technical skills you will also acquire methodological and analytical competencies. In small groups and under the close supervision of the teaching staff, who have received numerous awards for their research and teaching activities, you will benefit from high scientific quality and topicality. Courses in English as well as the acquisition of key qualifications will prepare you optimally for management tasks in international competition.
Contact
Faculty Office
Saskia Smigelski
Sandra Toms
Phone: +49 (0)721 925-1508
Fax: +49 (0)721 925-1509
sekretariat.i.iwi@h-ka.de
Office hours:
Mon.-Fri. 9 a.m.-1 p.m.
Building E, room 208
Moltkestraße 30
76133 Karlsruhe
Specializations
Your prospects with a master's degree
Upon successful completion of the master's degree program in Computer Science, you will earn the academic degree "Master of Science (M.Sc.)" and will be able to take on management tasks as well as independently carry out challenging computer science projects. By means of the research methods learned you will also be able to make independent scientific contributions and pursue further scientific qualification in the form of a doctorate. learn more
At a glance
| Degree | Master of Science (M. Sc.) |
| 15.01./15.07. | |
| Start Of Study | Winter semester & Summer semester |
| ECTS Credits | 90 in total |
| Standard Period Of Study | 3 semesters |
| Admission prerequisites | Pre-study work experience is not required |
| Accreditation | Yes (certificate) |
Who is the program aimed at?
The program is suitable for motivated and committed individuals with a first professional degree in computer science, media informatics, business information systems or a subject related to computer science from a state-recognized university in Germany or abroad. The degree should have a scope of at least 210 ECTS credits and be graded with an average of 2.3 or better.
Admission with less than 210 ECTS credits
Applicants from Bachelor's degree programs with a workload of 180 ECTS credits only can be admitted. In this case, as a rule, further courses corresponding to a total of 30 ECTS credits must be taken until the end of the Master's program.
One year of professional experience as the equivalent of a seventh semester of study
In accordance with the intentions of the EU Commission to introduce a European Qualifications Framework, at least one year of relevant professional practice after completion of a six-semester Bachelor's program can be counted as the equivalent of a seventh semester of study. This is decided on a case-by-case basis by the admission committee of the subject. A record of the additional credits to be completed will be made for each applicant concerned and will be shown in the Diploma Supplement.
Double degree
The Master's degree program in Computer Science can be studied as double degree option "Data Science in Business Information Systems" in Taiwan or "Data Science and Artificial Intelligence" in France.
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A first-class student: Johannes Steinhülb
In his master's thesis, our Computer Science student Johannes Steinhülb shows how remote working can be optimized, and was awarded a prize for his findings.
(Video available in German language only)