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Information on degree programmes

CodeDegree Programme TitleStandard Length of Study
N0688A140014Industry 4.02.0 years
Qualification AwardedMaster degree, Ing.
Level of QualificationSecond Cycle
Access to Further StudiesThe graduates may continue in a Third cycle
Graduation Requirements120 ECTS Credits, Final state examination, Diploma thesis
Mode of StudyFull-time
Programme Director or EquivalentPersonal IDName
PLA06prof. Ing. Jan Platoš, Ph.D.
Course Structure Diagram with ECTS Credits1. year / Winter semester1. year / Summer semester
30 ECTS Credits30 ECTS Credits
2. year / Winter semester2. year / Summer semester
30 ECTS Credits30 ECTS Credits
Specific Admission Requirements
Specific admission requirements are determined by the Dean of the faculty. For more information please click here.
Specific Arrangements for the Recognition of Prior Learning
Informal learning - max. 60% of credits gained in prior lifelong learning can be recognized, as determined by the Dean of the Faculty.
Qualification Requirements and Regulations
Qualification Requirements:
Finished higher education in Bachelor's degree programme.
The Czech educational system is regulated by the Higher Education Act (Act 111/1998). Studies at VSB-TUO are regulated by the Statute of VSB – Technical University of Ostrava.
Profile of the Programme
The goal of the study program is to teach students multidisciplinary skills that combine Computer Science as Cybernetics. The primary focus is set on Computer Science skills due to the importance of data analysis in modern factories. The complexness of the production lines and automatization of the processes brings the necessity of the Cybernetics. The primary goals of the program are as follows: - The students will understand production processes and their control systems including the utilization of industrial robots. - Students will have an in-depth knowledge of data processing and knowledge mining, image processing, big data analysis and its usage in production optimization. - Students will specialize in analytical or controlling areas by additional subjects. - Students will be able to work in industrial companies and ve useful and valuable member of the teams.
Key Learning Outcomes
Key Lerning Outcomes are Expressed in following Structure: Knowledge, Skills, General competencies
The theoretical background includes mathematical and statistical knowledge as well as the knowledge of data analysis, knowledge mining, image processing, digitalization of industrial applications and cyber-physical systems. Moreover, the student may choose the optional subject from computer vision, parallel data processing, production optimization and advanced control and distributed systems.
Besides theoretical knowledge, practical skills that will be taught are focused on computer vision and machine learning, knowledge mining, production optimization, and scheduling. Moreover, industrial robot programming and advanced control system design are also included.
General competencies:
The graduates will be prepared for individual work on production optimization departments. The graduates will be able to participate in solving complex real-world problems, inter-team communication, and be useful members of the team. Due to the extremely evolving environment and area, the graduate will be able to absorb novel ideas and knowledge, technologies, and apply them in his work.
Occupational Profiles of Graduates with Examples
The graduate will find their jobs in industrial companies, IT companies, production planners in task related to production optimization as a data analyst in industrial companies, production assistants and other position.
Examination Regulations, Assessment and Grading
Examination regulations, assesment and grading are described in the Study and Examination Rules.
Course block: Compulsory - all courses are compulsory.
Course block: Choice-compulsory - student has to choose at least one course from the list of courses.
Course block: Optional - student can choose any course from the list of courses.
IMPORTANT: Student has to select so many courses to reach 30 ECTS credits per semester. Rules in detail and convenient selection of courses can be consulted with the programmme director.
Bellow stated courses are assigned for the degree studies only. Students coming to VSB-TUO for an exchange stay must select courses from the List of courses for exchange students.
1. Semester1. yearWinter semester30 ECTS Credits
2. Semester1. yearSummer semester30 ECTS Credits
3. Semester2. yearWinter semester30 ECTS Credits
4. Semester2. yearSummer semester30 ECTS Credits