Study programme hospodárska informatika
Basic information
Study programme in national registry: hospodárska informatikaGuaranted by: Faculty of Electrical Engineering and Informatics
Study field: Computer Science
Level of degree: 2
Form of study: present
Degree: Ing.
Length of study in years: 2
Professionally oriented: No
Joint study programme: No
Languages of delivery: slovak language
Graduate profile
DescriptionBusiness Informatics at FEI TU in Košice is an informatics-oriented study program that educates IT graduates in accordance with current trends, especially the use of data science, including big data processing to support decision-making in various types of processes. A graduate of the business informatics engineering study program is able to analyze, design, create and assess the suitability of deployment for various types of information systems. He has the practical skills necessary for the complex processing and analysis of various data samples, whether from business processes, network operations, or sensors. The graduate is able to manage IT services, operate, and innovate information systems of companies, institutions, and administrative as well as public organizations.
Learning objectives
The study program is oriented towards the development of deep knowledge and practical skills, including knowledge of contexts and relationships to related fields. It allows students to plan and organize personal learning, develop personal and professional growth in order to fulfill the idea of a knowledge society and a knowledge economy. It develops in students the skills needed to creatively solve theoretical and practical tasks in the field by applying the latest knowledge of science and technology with the support of the latest technologies. As an integral part of the graduate's portfolio, he also develops social and civic competencies, for example through discussions. The educational goals of this study program integrate not only the strategic goals in the field of education established in the long-term plan of the Technical University in Košice but also the requirements of employers specified in the National System of Occupations and the National System of Qualifications, the EHEA qualification framework, and the National Classification Framework: 1. The student will understand and apply the process of discovering knowledge from databases and other data sources, including methods for obtaining models for more efficient management of complex economic systems. The student will also acquire the skills necessary for solving difficult analytical tasks, i.e. develop and propose own solutions to problems, creatively apply acquired knowledge, and make effective decisions when selecting and using methods and tools to analyze different types of data sets for obtaining different types of target knowledge. 2. The student will acquire basic knowledge in big data processing, methods, approaches, and technologies used in this field. The student will learn about the concepts of grid and cloud computing, distributed, NoSQL and in-memory database systems, and parallel and distributed computing methods. The student will acquire basic skills for designing and implementing applications for big data processing. 3. The student will master the methods and procedures of solving relatively extensive projects in the field of information systems in practice. It will demonstrate the ability to independently and creatively solve complex tasks, even of a research nature, following current methods and procedures used in the relevant field. Independently, creatively and critically approach the analysis of possible solutions and the creation of models. The result must contain a practical output that will be adequately documented and presented during the thesis defense. 4. The student will master advanced methods and techniques of machine learning and advanced technologies for developing information technology systems, focusing on searching, creating, and mining knowledge. He will learn to develop and propose his solutions to learning problems of classification and prediction for use in acquiring knowledge from data from various sources, emphasizing the understanding of the methods used. He will learn to creatively apply the acquired knowledge about a wide range of machine learning methods and make effective decisions when choosing and using machine learning methods, techniques and tools. The student will acquire basic knowledge of determining the quality of software products with an emphasis on optimality for the user. 5. The student will acquire theoretical knowledge of processes and technologies related to the support of knowledge management in organizations. Emphasis is placed on the means of information technology to support knowledge management, but the subject also provides basic knowledge from a managerial point of view. Students will also master the basic principles and methods for information retrieval and selected techniques for extracting knowledge from texts. 6. The student will acquire knowledge in the field of web technologies in modeling the semantic and social web. They will learn to implement modern information and network technologies and develop and propose their own solutions to problems, creatively apply the acquired knowledge, to make effective decisions when choosing and using methods and means of the social web and semantic technologies. The graduate will master and use object-oriented programming languages, database systems, computer networks, visualization products, and products for intelligent interactions. The student will also learn to design and program semantically enriched systems for economic entities, their tools, and approaches. The student will acquire the latest knowledge for mining knowledge, opinions, attitudes, and emotions in the social web with an orientation towards a deep understanding of the semantics of data of an economic and other nature. 7. The student will obtain information about selected new trends in business informatics research, the methodological foundations of research work, and the analysis of information sources.
Main learning outcomes
The graduate profile includes knowledge, skills, and competencies (covered by relevant subjects): - can recognize problems in time and name them correctly; he analyzes them from different points of view. He knows how to use the acquired knowledge and can creatively solve problems in new, unfamiliar environments. He knows how to synthesize a new solution and looks at the result with an emphasis on originality, complexity, added value, and ethical and social responsibility. - Has developed skills to learn independently; demonstrates the knowledge and understanding needed to apply research-related concepts, even in new situations or unfamiliar environments. - Demonstrates knowledge and understanding beyond a first degree in obtaining and recording user requirements in software development; knows the methodologies of modeling information flows, interfaces or users. Analyzes requirements for an information system/software system and creates an analytical model using the UML language. - Can clearly and unambiguously communicate information about the procedure and results of solving tasks, conclusions, and justifications to experts, lay recipients, or the public. Masters presentation creation according to the requirements and the situation, the ability to adapt to the audience, and answer questions. - Demonstrates analytical and critical thinking beyond the scope of the first degree of university studies, uses internal motivation and has a creative and flexible approach to solving assigned tasks. It affects decision-making in projects related mainly to analytical tasks, goals, and solutions in broader contexts beyond the field of study. - Actively acquires and processes information from primary and secondary sources, including mastering and using modern information technologies. She is ethically and socially responsible in the case of incomplete information or information beyond the field. - Demonstrates advanced knowledge and understanding of procedures for working with advanced statistical tools or using appropriate scripting environments. - Can integrate the knowledge, methods, and techniques necessary to perform analytical activities with data of various types from various sources. Can manage complexity and formulate decisions in advanced data, mathematical and statistical analysis to extract added value from disparate data. - Can analyze, modify and design algorithms, programs, or scripts necessary for data analysis, processing, and visualization of results. At the same time, he can use and deploy tools, platforms, and algorithms for working with extensive data in broader contexts beyond the field of study - the so-called Big data. - He knows how to use the acquired skills, how to organize his work effectively, and achieves the desired result in the agreed time individually or as a member of a project team. He is ready to handle stressful situations or obstacles. He actively approaches the fulfillment of set tasks, synthesizes new solutions, and comes up with suggestions for changes or improvements that he can communicate clearly and unambiguously.
Professions
Professions for which the graduate is prepared at the time of completion.
- Dátový expert 7
- Vývojár multimediálnych aplikácií 7
- Riadiaci pracovník (manažér) riešení informačných techn... 7
Employability
Evaluation of the study programme graduates employabilityYear: 2018 Source: https://uplatnenie.sk/?degree=V%C5%A0&vs=709000000&faculty=709040000&field=6292T00&year=2018 Number of graduates: 40 Average salary: 1630 euros Half of the graduates earned more than 1686 euros TOP 3 industries in which graduates worked: - Information and communication (66%) - Industrial production (10%) - Construction (7%) TOP 3 jobs in which graduates worked: - System administrators (14%) - Accounting professionals (14%) - Electrical engineers and energy specialists (10%) Employment: 78% Contract workers: 3% SZČO: 8% On maternity leave: 3% Unemployed: 0% Continuing studies: 0% Others (working abroad, voluntarily unemployed): 10% Year: 2019 Source: https://uplatnenie.sk/?degree=V%C5%A0&vs=709000000&faculty=709040000&field=6292T00&year=2019 Number of graduates: 40 Average salary: 1272 euros Half of the graduates earned more than 1263 euros TOP 3 industries in which graduates worked: - Information and communication (63%) - Professional, scientific and technical activities (10%) - Industrial production (7%) TOP 3 jobs in which graduates worked: - Software developers (20%) - Specialists in the field of accounting and financial control (17%) - Application programmers (13%) Employment: 78% Contract workers: 8% SZČO: 8% On maternity leave: 0% Unemployed: 8% Continuing studies: 0% Others (working abroad, voluntarily unemployed): 0%
Evaluation of the study programme quality by employers
Completed forms "Statement of authority from practice to the SP" from two representatives of employers form an attachment to the minutes of the meeting of the SP HI Council (2nd stage) dated 6/29/2022.
Structure and content of the study programme
Suggested study plan in the MIAS portalCurrent academic year plan and current schedule
Current academic year planCurrent schedule: MAIS portal
Persons responsible for the study programme
Person responsible for thequality of the study programme: prof. Ing. Ján Paralič, PhD.List of persons responsible for the profile courses:
- prof. Ing. Ján Paralič, PhD.
- doc. Ing. František Babič, PhD.
- doc. Ing. Peter Butka, PhD.
- doc. Ing. Peter Bednár, PhD.
- prof. Ing. Kristína Machová, PhD.
Student representatives: Bc. Lívia Muranková
Study department
Spatial, material, and technical provision of the study programme and support
List and characteristics of the study programme classroomsSpecialized laboratories: Data analytics laboratory (24 places/12 PCs), Big data processing laboratory (18/9). These laboratories provide hardware (PC) and software equipment necessary for teaching relevant profile subjects and solving diploma theses. From the mentioned laboratories, the supporting technical and software infrastructure created and operated within the Center of Economic Informatics at the Department of Cybernetics and Artificial Intelligence of the FEI is accessible, which consists of: 1. A private cloud cluster consisting of 10 servers with a total capacity of 156 CPUs and 724 GB of RAM with a storage capacity of more than 6 TB and shared disk space with a capacity of more than 100 TB; including servers equipped with cards for GPU calculations (TESLA K-40c, Quatro RTX4000, Quatro P4000). 2. Integrated DataLab cloud environment for research and teaching, which provides tools for data analytics and big data processing technologies, including database storage and frameworks for distributed computing and deep learning: https://datalab.kkui.fei.tuke.sk TECHNICOM University Science Park (https://uvptechnicom.sk/sk): Startup center, Incubator, business acceleration The University Library (http://www.lib.tuke.sk/) provides conference rooms to arrange lectures or events of partners from practice, such as conferences, hackathons, workshops, etc. Additional information is available at: https://hi.kkui.fei.tuke.sk/laboratoria-inzinierske-studium.html
Characteristics of the information provision
Access to study literature and information databases is provided through the TUKE University Library: http://www.lib.tuke.sk/Library/Home/DigitalLibrary Access to information technology is ensured through the Institute of Computing Technology TUKE: https://uvt.tuke.sk/wps/portal/uv/software In addition, within the Center for Business Informatics at the FEI Department of Cybernetics and Artificial Intelligence, we operate: 1. A private cloud cluster consisting of 10 servers with a total capacity of 156 CPUs and 724 GB of RAM with a storage capacity of more than 6 TB and shared disk space with a capacity of more than 100 TB; including servers equipped with cards for GPU calculations (TESLA K-40c, Quatro RTX4000, Quatro P4000). 2. Integrated DataLab cloud environment for research and teaching, which provides tools for data analytics and big data processing technologies, including database storage and frameworks for distributed computing and deep learning: https://datalab.kkui.fei.tuke.sk
E-learning
Study materials are available through the Microsoft Teams software platform supporting educational activities and collaborative study or the Moodle e-learning portal, which is also used to verify students' knowledge and the level of achievement of planned educational outcomes. Lectures, exercises or consultations with students also take place via the CISCO Webex communication platform. Access to these tools is free for both TUKE employees and students. https://uvt.tuke.sk/wps/portal/uv/software/microsoft-office365 https://uvt.tuke.sk/wps/portal/uv/sluzby/webex/prihlasenie-sa-do-webex http://moodle.tuke.sk/ https://kkui.fei.tuke.sk/chi/moodle/
Institution partners
External partners participate in the provision of educational activities in the business informatics engineering study program in several ways: 1. By providing a group of elective subjects that appropriately complement the profile of the graduate. These are 6 subjects within the SAP academy (teaching provided by members of the IT Valley Košice association), which are divided into two triads of related subjects. In addition, it is a subject of Skills for Success, where several companies associated with the Business Service Center of the Forum under the banner of the American Chamber of Commerce in Slovakia are involved. - Deutsche Telekom IT Solutions Slovakia: transferable competences – verbal and non-verbal communication (seminar), transferable competences – time management (seminar). - IBM Košice: transferable competences – feedback (seminar), transferable competences – teamwork (seminar). - NIDEC Global Appliance Košice: transferable competences – conflict management (seminar). - AT&T Košice: transferable competences – presentation skills (seminar). 2. In the form of invited lectures from practice, usually in the scope of one, maximum two lectures per semester. More invited lectures from practice are within the subject Current trends in business informatics. 3. Review and support of teaching materials for the subject Discovering knowledge in databases (IBM Košice). 4. Definition and cooperation on the solution of diploma theses. 5. Participation in the commission for state final exams.
Admission procedures
Required abilities and necessary admission requirementAdmission procedures
Results of the admission process over the last period