⇒ Masterstudiengang Informatik - Schwerpunkt Computergrafik und Bildverarbeitung
Master in Computer Science, Computer Graphics and Image Processing
Department of Computer Science and Mathematics at the Munich University of Applied Sciences
The master degree program will be offered for the first time in the winter semester 2005/06. From then on, beginning one's studies in this program will probably be possible every semester.
ECTS Master Informatik (German)
ECTS Computer Science Master (English)
Goal of Studies
The goal of the master degree program is to enable the students to independently apply and develop scientific results and methods in the area of computer science.
In particular, the studies shall enhance the ability to analyze complex fields of application and the needs of the users of computer systems, to design, purchase, and implement systems according to the respective requirements, representing the current state of technology and science, and to integrate them into an existing system environment. There is a special focus on the area of technical applications of computer science, in particular on computer graphics and image processing.
The master degree program cultivates the abilities to communicate and work cooperatively in a team, which are important in professional life, and makes the students aware of the responsibilities associated with the application of computer science.
The master degree program prepares the student for taking over demanding tasks in an international working environment. Therefore, foreign languages are an integral part of the program study.
The master degree program may also be the base for further scientific qualification, for example in a subsequent Ph.D. program.
Prerequisite Qualifications and Admission Procedure for the Master Degree Program
Prerequisite qualifications for getting admitted to the master degree program in computer science are one of the following:
1. A course of studies in the field of computer science, completed with at least a Bachelor’s degree and a total grade of 2.5 or better, at a German academic institution, or an equivalent degree obtained from a foreign university. Applicants with a total grade worse than 2.0 will have to prove their qualification in an aptitude determination process.
or
2. A course of studies in some other field of science or engineering, completed with at least a Bachelor’s degree and a total grade of 2.5 or better, at a German academic institution, or an equivalent degree obtained from a foreign university. In this case, the applicants will have to prove their qualification in an aptitude determination process.
As the majority of the lectures are held in German, good German language skills are required.
The equivalence of foreign university degrees is determined by the chairman of the examination board, taking into account Article 82 of the BayHSchG (Bavarian law about universities).
The beginning of studies is possible in both the winter semester and the summer semester. Applications have to be submitted in written form and with the required documents to the office of enrollment at the Munich University of Applied Sciences, between May 2 and June 15 when applying for the winter semester, and between November 15 and January 15 when applying for the summer semester.
The aptitude determination is carried out on the following basis: the application turned in on due time and form, the documents presented, and an admission interview, the contents and duration of which are determined by the examination board. The admission interview is evaluated by two professors, at least one of whom is teaching in the master degree program in computer science. The admission interview is passed by achieving the grade “successfully passed”. In case of rejection, it is possible to apply at a further date. Applying for a third time is not possible.
There is no entitlement to the master degree program if the number of students is insufficient.
Contents of the Program, and Course Modules
- Foundation Courses
Course Groups (CG) ECTS Examples CG Theoretical Computer Science 5-10 Logic, Data Flow Analysis, Program Verification, Semantics of Programming Languages, Graph Theory CG Software Technology 5-10 Knowledge Based Systems, Safe Systems, Embedded Systems, Graphical User Interfaces (GUI) CG Scientific Computing 10-15 Advanced Numerical Mathematics, Stochastics, System Theory, Modelling and Simulation, Computational Gemometry, Optimization CG General Courses 5-10 Project and Quality Management, Social Competence, Decision Theory, IT Infrastructures - Specialization
Course Module resp. Group ECTS Examples Computer Graphics 5 Digital Image Processing 5 Pattern Recognition 5 CG Specialization Courses 15 Realtime 3D Computer Graphics, 3D Scene Modelling, Model Driven Image Analysis, Photogrammetric Image Processing, 3D Reconstruction, Digital Image Processing in Geographical Information Systems, Image Data Coding, Medical Image Processing, Realtime Simulation, Robotics, Image Sequence Processing and Motion Analysis Advanced Seminar 6
Detailed informations (in German) can be found in the Studien- und Prüfungsordnung, and in the Studienplan .
Structure of the Master Degree Program
The master degree program is offered as full-time or part-time studies. Details are regulated in the degree’s course scheme (“Studienplan”). The standard period of study is three semesters including the master thesis for full-time students, and six semesters including the master thesis for part-time students. Lecture times for part-time students are the same as for full-time students, i.e. classes will normally not be held in the evening or at weekends.
The Master in Computer Science was designed as a consecutive master program, i.e. it builds upon the Bachelor in Computer Science program offered at the Munich University of Applied Sciences. The knowledge imparted in the Bachelor degree program is a prerequisite for the Master degree program, but may of course have been gained elsewhere.
Certificate and Academic Degree
Sucessful graduates of the master degree program are awarded the academic degree “Master of Science” (“M.Sc.”).
Information about the Examination Regulations
Information (in German) about the examination regulations (“Studien- und Prüfungsordnung“, degree’s course scheme, FAQs, ...) can be found at Prüfungsrechtliche Informationen (examination regulations) and Ansprechpartner (Contact) .

