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Contemporary Information Technologies

Contemporary business operations cannot be perceived without the Internet, which is the synonym for information and computing infrastructure, since it is used to transfer, process and store information. Information will provide a reliable base for making business decisions provided that its safety, authenticity and integrity are guaranteed. In the event that these security service methods are violated, digital forensics methods are used to detect and repair incidental events. Reliable and secure information is transformed into valid and efficient business decisions using intelligent systems and data mining methods.

Contemporary Information Technology study program is the right choice for candidates who want to master the methods of analysis and synthesis of all relevant phases of business decision-making process based on information technologies and work in IT sectors (programming, security management, network and system administration, development engineering, etc.). This program is conducted in the Serbian and English language.

hatAfter successfully completing their studies, students gain the title of Master of Science in Informatics.

hat Tuition fee for this study program in English is 4200 € for 60 ECTS, paid in RSD.

Fill out the pre-admission form

I semester

The purpose of this course is to establish the epistemological criteria of scientific knowledge of business systems. Students implement logical and technical research methods and procedures employed in science. This course enables students to take an attitude toward all the issues of scientific strategy, to develop and improve the analytical frame, within which the research is done, and find the most efficient tools for collecting and selecting the original business systems data.

The purpose of this course is to give students the opportunity to obtain knowledge and skills in the field of intelligent systems based on neural network techniques, fuzzy logic, evolutionary and genetic programming. They become conversant with architecture, rules of neural networks, fuzzy reasoning systems and principles of genetic and evolutionary optimization methods. They are also given the opportunity to master combining methods of computer intelligence in synthesis of hybrid intelligent systems.

II semester

The purpose of this course is to enable students to obtain theoretical and practical knowledge in the field of training and self-training data mining systems. Students are able to understand the mechanism of inductive methods generalization and identify real issues that could be solved using data mining methods.

The aim of doing and defending the master's thesis is to provide a student with an opportunity to research a practical research-oriented topic and debate about it, demonstrating an independent and creative approach in applying theoretical knowledge and practical skills in future practice within the scope of modern information systems.