Title of degree: Computer Science Engineering
Field of study: informatics
Qualification: Computer Science Engineer
Language of the training: Hungarian
Form of training: full-time
Level of education: master (magister, Master of Science, abbreviated: MSc)
Training period: 4 semesters, 1125 contact classes
The aim of the training is:
The aim of the course is to qualify engineers who, having acquired the necessary high-level scientific and specific IT-related technological skills, to be competent to design new IT systems and tools, to develop and integrate IT systems, to conduct and coordinate IT-purpose research and development tasks, as well as to be capable of pursuing their knowledge in the frame of PhD studies.
Specialization: Data Analysis for Manufacturing The Data Analysis for Manufacturing specialization aims to train IT professionals who can understand and manage different types of data and complex data sets, recognize their relationships, draw conclusions and model the real world. This area is becoming increasingly important today, as data-driven solutions are becoming more widespread in industrial process areas, including development, manufacturing and maintenance. Subjects of the specialization: Intelligent data analysis, Statistical data analysis, Visualization and visual data analysis, Neural network and deep learning, Sensor network and the internet of things, Industrial data sources.
Main areas of the training:
- Mathematics and natural sciences: 21 credits
- Economics and human sciences: 10 credits
- Professional core curriculum: 28 credits
- Specialization: 25 credits
- Optional subjects: 6 credits
- Thesis: 30 credits
- Altogether: 120 credits
Internship:
Professional practice of at least 6 weeks (containing 240 work hours).
Places and addresses of the course:
Alba Regia Faculty, Obuda University, Budai Street 45, 8000 Székesfehérvár
Components of the final exam:
The final exam comprises the defense of the thesis and oral exams specified in the curriculum (with preparation times at least 30 minutes per subject), which must be taken the same day.Data Analysis for Manufacturing specialization responsible: Rozália Lakner, PhD (lakner.rozalia@amk.uni-obuda.hu)
