|Nominal duration||2 years (120 ECTS)|
|Awards||M.Sc. (Master in Applied Informatics)|
|Tuition fee||€3,700.00 per year|
|Application fee||€100.00 one-time|
Undergraduate diploma (or higher)
Programme is oriented towards today’s and tomorrow’s application domains, covering data retrieval, robotics, artificial intelligence, neural networks, data visualisation, distributed and cloud computing.
Competencies Acquired – Knowledge and understanding of data mining techniques and their applicability in different domains. – Knowledge and understanding of the design and implementation of intelligent and adaptive systems. – Knowledge of professional development of commercial and social IT products using modern computer platforms, and estimation of their demand, impact and relevance to users, enterprises or organizations. – Ability to perform interdisciplinary R&D in data mining and data analysis field, apply research results in practical applications. – Ability to perform interdisciplinary R&D in natural language processing and information retrieval field, apply research results in practical applications. – Ability to perform interdisciplinary R&D in systems analysis, modelling, identification and control field, apply research results in practical applications. – Ability to apply data mining techniques for the analysis of diverse data (sound, ECG, EEG). – Ability to analyze, formalize and model systems and processes of different complexity. – Ability to apply Natural Language Processing techniques. – Ability to apply parallel programming skills for the development of concurrent distributed and multi-core/-processor systems. – Ability to design multiplatform services and applications, integrating intelligent and adaptive technologies. – Ability to clearly and convincingly present problems and suggested solutions to experts and non-experts, using ground knowledge, reasoning, relevant presentation tools and methods. – Ability to professionally communicate and collaborate in distributed IT projects. – Ability to critically analyse IT projects and their influence to business, culture and society context.
*1 year *
Operation Research and Management - 6;
Machine Learning - 6;
System Analysis and Modelling - 6;
Research Project No. 1 - 6;
Recognition of Signals - 6;
Neural Networks - 6;
Adaptive and Intelligent Systems - 6;
Research Project No. 2 - 6;
*2 year *
Formal Methods in Modelling - 6;
Parallel and Distributed Computing – 6;
Mobile Application Infrastructure - 6;
Research Project No. 3 - 6;
Master Thesis 30.
Graduates of Applied Informatics will be able to work as programmers, software architects, analysts, consultants, project managers, department managers in different organizations, state institutions and business units; as researchers, scientific workers, assistants and lectors in science and education institutions. Graduates will be able to establish their own information technology business companies. Graduates of Applied Informatics may continue studies in PhD studies in informatics (Computer Science) or Computer Engineering.