The master's degree course 'General Computer Science' is characterized by high level of flexibility, broadly defined content and practical orientation. The flexibility mainly results from a large selection of obligatory electives. And all of that is offered directly within the Rhine/Main metropolis Frankfurt.
Summary
Program |
General Computer Science Master of Science |
Terms | 4 Semester, Full time |
ECTS-Credit Points | 120 |
Program start | Summer and winter semester |
Application deadlines | with German credentials: September 15/February 15 |
with foreign credentials: July 15/January 15 | |
Languages | German, English (both approx. 50% – excellent German language skills are mandatory) |
Accreditation
This degree course was accredited by the German Accreditation Council until September 30, 2030.
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(German only)
The application deadline for applicants with German degrees is February15.
The application deadline for applicants with foreign degrees is January 15.
If you wish to apply with a foreign degree please refer to our International Office for further information on application procedures.
Course of studies
The degree course entails three study fields from which students choose and customize "their" degree course – depending on their interests – from high-quality, research and application-relevant modules (each 5 ECTS credits). Three large project modules (each 10 ECTS) allow a knowledge enhancement in the three fields of study, which can be combined with the six-months long master's thesis (30 ECTS) to a research project.
The study field 'Software technology' contains the fundaments for the contemporary implementation of distributed business and development processes and IT strategies, whether this is achieved by analyses and conception in research and development projects or the holistic approach in the field of project management. Special focus lies on the challenges of automated learning of (large) data amounts under particular consideration of safety aspects.
In the field of study 'Intelligent systems' graduates attain knowledge in techniques of machine learning, adaptive gain of knowledge and the interaction of humans and machines combined with robotics, image or language processing. This allows graduates to develop current key technologies for intelligent interacting systems, which intuitively cooperate with their users in a natural environment.
The field of study 'Digitization' conveys the information-theoretical methods and the tools for generation (among others with help of sensors) and technical, secure controllability of (large) amounts of data that is generated by the Internet of Things (IoT). It allows additionally to help shape Industry 4.0.
Admission requirements
The master's degree course is consecutively structured. You can only be admitted to the master's degree course if a bachelor degree examination in a bachelor's degree course of computer science or an associated field of study (e.g. media informatics, electrical engineering) with a regular period of study of at least 6 semesters or at least 180 ECTS was successfully passed and a grade point average of at least 2.5 was achieved. The examination board decides on the relevance of previous bachelor degree course.
In exceptional cases, applicants with an overall grade lower than 2.5 and better than 2.8 may also be admitted. The examination board decides on their admission on the basis of a letter of motivation and evidence of relevant professional experience of at least two years after the first degree. The professional experience is to be proven e.g. by a qualified job reference and/or a portfolio with work samples.
In case of admission to the Master's program "General Computer Science", English language proficiency must be presented at the time of enrollment. Further information can be found in the information sheet "Overview of accepted English certificates"
PDF Overview of accepted English certificates
Part-time studies
Students, whose course of study has deviated from the regular course of full-time studies – for whatever reason – can seek personal counseling from the Frankfurt University of Applied Sciences.
Goal of the counseling is, while considering personal conditions of an individual course of study, to graduate in an appropriate period of time. In order to reach this goal, we will develop a course plan together with you.
It is also checked whether there are reasons for a formal application of part-time studies. Additional information about the requirements and study organization of part-time studies can be found on the pages of the Admissions office.
The consultation is offered by the degree course counselors or the degree counselor of your degree course. Please schedule an appointment via email.
Prospects
The velocity of the economic and technical changes in global markets has the companies of today face large challenges that cannot be met with experience and traditional management methods. The skill of implementing market-oriented business processes and IT strategies in a timely manner and provide relevant information from a large amount of data has developed into a central competition factor and requires the knowledge worker, who works project- and (application-oriented) engaged in research.
This characterization applies to many (globalized and internationally acting) companies in the greater area of Frankfurt Rhine/Main. Demanding and at the same time success-critical tasks are to be processed in business process management and in (automated) data collection and analyses. Graduates of this master's degree course have the required skills and competencies.
