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VSB-TUO ›ECTS Information Package ›Faculty of Economics

Faculty of Economics

Information on degree programmes

CodeDegree Programme TitleStandard Length of Study
N0688A050001Information and Knowledge Management2.0 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
HAN60prof. Ing. Jana Hančlová, CSc.
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.
Regulations:
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 aim of the follow-up Master's study program Information and Knowledge Management is to prepare and form highly qualified specialists with a focus on: - system management, in particular at tactical and strategic level; - broad knowledge and skills of using advanced mathematical-statistical methods in economics; - acquisition, processing and exploitation of knowledge using both soft-computing tools and methods and artificial intelligence.
Key Learning Outcomes
Key Lerning Outcomes are Expressed in following Structure: Knowledge, Skills, General competencies
Knowledge:
After successful study, graduates are equipped with professional knowledge: - designing methods and algorithms for data mining and knowledge by analyzing data networks in the direction of application of knowledge systems to solve selected problems and knowledge support of their users; - application of advanced soft-computing methods to investigate behavior and prediction in chaotic systems and use of other artificial intelligence methods and technologies in connection with Industry 4.0; - IT resource management concepts in organizations and design, development and implementation of effective software architectures; - application of decision support methods - advanced optimization methods under uncertainty; - strategic management concepts in organizations and their control, including support for project and risk management.
Skills:
After successful study, graduates are equipped with professional knowledge: - designing methods and algorithms for data mining and knowledge by analyzing data networks in the direction of application of knowledge systems to solve selected problems and knowledge support of their users; - application of advanced soft-computing methods to investigate behavior and prediction in chaotic systems and use of other artificial intelligence methods and technologies in connection with Industry 4.0; - IT resource management concepts in organizations and design, development and implementation of effective software architectures; - application of decision support methods - advanced optimization methods under uncertainty; - strategic management concepts in organizations and their control, including support for project and risk management.
General competencies:
General competencies allow graduates to: - use English language skills and communication skills with foreign organizations; - present their results with the support of ICT, propose solutions and measures using ICT; - communicate with users, propose solutions and measures, take responsibility for economic, technical and managerial decisions; - use system approach - team cooperation in team management, conceptual thinking, active approach to problem solving; - exploit legal awareness, recognition of moral and ethical values; - create the need for permanent education in economic and computer science.
Occupational Profiles of Graduates with Examples
Typical job positions: - data analyst with a focus on effective data warehousing analysis, data network mining, software support design; - specialist in soft-computing and artificial intelligence methods; - system analyst and methodologist to support strategic decision making of managers in organizations; - developer of control application systems, software architect; - IT resources coordinator and manager in organizations in accordance with intellectual property and data protection; - project and organizational manager; - in academia and other science, research and development and innovation institutions.
Examination Regulations, Assessment and Grading
Examination regulations, assesment and grading are described in the Study and Examination Rules.
Curriculum:
Remark:
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