General description of the degree program Name Qualification awarded: Computer Science Master of Science (M.Sc.) in Computer Science Level of qualification Qualification requirements and regulations Alternative study option: Key learning outcomes Profile of the program Occupational profiles of graduates Program duration: Pre-study work experience: Specific admission requirements Specific arrangements for recognition of prior learning second-cycle Dual master s degree in cooperation with Eastern Michigan University (USA) Graduates should be in a position to independently plan, start, execute, and complete computer science projects in research and development. Beyond this, graduates will be able to take on leadership tasks in computer science on account of their technical and content-related skills. In line with their competence in scientific methodology, graduates should be able to produce original contributions to science and to pursue a further academic qualification in the form of a postgraduate doctoral program. This is a research-oriented master s program in the development of software and worldwide connected systems. The program is characterized by small groups and a solid basic education with interrelated theoretical and practical components, and a high educational quality, confirmed by national rankings, e.g. of WirtschaftsWoche magazine or CHE. The students knowledge in computer science is deepened, with a special focus on distributed systems, software engineering, and multimedia, and supported by practical project assignments carried out in teams. The students are taught knowledge obtained from state-of-the-art research, combining this with extensive practical skills for realizing innovative projects. The program aims at enhancing, at the same time, professional skills as well as methodical and analytical skills, and key qualifications such as leadership abilities and interdisciplinary problem solving. Graduates typically work in software companies. 3 semesters including master s thesis Bachelor s or equivalent qualification in the field of computer science, business information systems or a computer science-related field, with a grading equivalent to German 2.5 or ECTS Grade B, comprising 210 ECTS credits. Applicants having a bachelor s degree with a scope of 180 ECTS credits only may apply but are required to re-take courses with a scope of 30 ECTS credits. Foreign students are required to prove sufficient command of the German language. Motivation letter required. Voluntary assessment Results achieved in theory or practical courses of an academic degree program at a recognized higher education institution can be transferred to HsKA according to ECTS recognition procedures upon express request, if the Board of Examiners acknowledges these results to be comparable in
Traineeship semester: Start of program: Application deadline: Language of instruction: Mode of study Access to further studies: Examination regulations, assessment and grading Final examination: terms of level, subject content and extent. Relevant job experience amounting to at least 1 year following a 6- semester bachelor s degree can be evaluated by the Admissions Committee as being equivalent to a seventh semester, in accordance with the EU Commission s plans to introduce an European Qualification Framework. Prior learning must be in a similar or related subject. In summer semester and in winter semester 15 January for application into summer semester 15 July for application into winter semester German. Some lectures may be held in English Full-time Doctoral studies For information about the courses as well as the study and examination credits required for successful completion of studies, see annex (pages 3-5). The annex also shows the weight of the various examinations towards the final grade. All parts which count towards a subject examination must be concluded successfully with a mark no less than 4.0 each. Master s thesis and colloquium Graduation requirements Program director ECTS Departmental Coordinator: The student must have attained the pre-examination credits as laid down in the table below. Prof. Dr. rer. nat. Peter Henning Prof. Dr. Cosima Schmauch Course structure diagram with credits:
Annex Tables for the degree program Explanation of the content of the columns and the abbreviations in the tables below: Column number 1 Course code (EDV-Bez) 2 Course title (course) 3 Semester in which the course is offered (Sem) 4 credit points (ECTS), contact hours per week (CHW) 5 Course type (type) V = Lecture S = Seminar Ü = Exercise P = Project lecture L = Lab 6 Prerequisites (Voraus.) for admission to the exam procedure 7 Type of study credits/pre-examination credits specifying duration in minutes, if no other unit is specified. (SL/PV / Dur) 8 Type of examination credits specifying duration in minutes, if no other unit is specified (PL/ Dur) For 7 and 8 The following can be designated as study or pre-examination credits (SL/PV) or examination credits (PL): MP = Oral exam Re = Presentation Kl = Written exam La = Lab work St = Study assignment En = Draft Ue = Practical exercises PA = Practical assignment Ha = Term paper MT = Master s thesis The following applies for the duration S: Semester M: Month(s) W: Week(s) T: Days(s) 9 Weight for subject grade (GFN) 10 Assigning examination credits to subject examination (FP) 11 Note For 6 to 11 The following abbreviations are used: Block Block course FP Subject examination üpl Cross-course examination credits bpl Study-related examination credits PS Practical study semester LV Course
Degree program: Computer science Degree awarded: Master of Science Table 1 1 2 3 4a 4b 5 6 7a 7b 8a 8b 9 10 11 EDV-Bez. Course Sem. CP CHW Type Voraus. SL/PV Dur PL Dur GFN FP Note IM 110 Advanced Technical and 1 9 6 V Kl 120 1 1 Mathematical Studies IM 120 Visualization and Semantics 1 6 4 V+Ü Ue S Kl 90 1 2 IM 130 Distributed Systems 1 5 4 V Kl 120 1 3 IM 140 Management Competence 1 7 7 V+Ü Ue S Kl 120 1 4 IM 150 Student Research Project 1 1 4 3 P PA S MP 30 1 5 4 IM 210 Man-Machine-Communication 2 9 6 V+Ü Ue+ S Kl 90 1 6 Ue IM 220 Advanced Techniques in 2 5 4 V S Kl 120 1 7 Computer Science IM 230 Algorithms and Applications 2 9 6 V+Ü Ue S Kl 120 1 8 IM 240 Student Research Project 2 2 6 5 P+S PA+Re S+20 MP 30 1 5 4 IM 310 Master s thesis, Colloquium 3 30 All MT+ 6 M+ 4 MT 4 examination credits of sem 1 MP 30 Total Master s degree program 90 44 8 PV 11 bpl
Degree program: Computer science Degree awarded: Master of Science Table 2 Examination regulations EDV-Bez. Title Code Related courses Weight for overall grade Subject examination Advanced Technical and Mathematical Studies FP 1 Advanced Technical and Mathematical Studies 1 Visualization and Semantics FP 2 Visualization and Semantics 1 Distributed Systems FP 3 Distributed Systems 1 Management Competence FP 4 Management Competence 1 Student Research Project FP 5 Student Research Project 1 + 2 2 Man-Machine-Communication FP 6 Man-Machine-Communication 1 Advanced Techniques in Computer Science FP 7 Advanced Techniques in Computer Science 1 Algorithms and Applications FP 8 Algorithms and Applications 1 Thesis MT Master s thesis 5 Note