Master's Degree in Computer Science in Cluj-Napoca in Romania

See Masters Programs in Computer Science 2017 in Cluj-Napoca in Romania

Computer Science

Master-level studies involve specialized study in a field of research or an area of professional practice. Earning a master’s degree demonstrates a higher level of mastery of the subject. Earning a master’s degree can take anywhere from a year to three or four years. Before you can graduate, you usually must write and defend a thesis, a long paper that is the culmination of your specialized research.

The foundations of computer science actually date back to before the modern computer had actually been created. For instance, algorithms for computing have been around for hundreds of years. One book of Sanskrit algorithms dates back to 800 BC.

Romanian university qualifications highly appreciated and recognized in Europe and beyond, lowest tuition fees and living cost in Europe. The Romanians have an old and rich history, especially in the capital Bucharest with its 2 million people. International students willing to study in Romania can apply either to the Ministry of Education and Research or to the chosen Romanian university, in order to receive the Letter of Acceptance.

Cluj-Napoca city is the capital of Cluj County in Romania and the 2nd most populated after Bucharest. It is a metropolitan area with a population of over 300,000 residents. It has around 150 pre-university educational institutions.

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Master in High Performance Computing and Big Data Analytics

Campus Full time 2 years October 2017 Romania Cluj-Napoca

The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity... [+]

Masters in Computer Science in Cluj-Napoca in Romania. The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity. Programme objectives Acquisition of theoretical, applicative and practical knowledge in: - complex systems modelling based on mathematical concepts and methods, and on programming concepts and techniques. - programming and usage on/of computation systems, especially those of high performance, which are necessary for solving real life problems and for simulating complex problem solutions. - exploitation (data-analysis, knowledge-discovering) and visualization of „big data” for computation problems, statistical interpretations, decision processes, or for scientific instruments. - applicative scientific domains where high performance systems are used. - analysis and improvement of software processes. - professional modelling for team work as well as interdisciplinary approaches to research and development. Core courses - Programming Paradigms - Parallel and Distributed Operating Systems - Formal Modelling of Concurrency - Advanced Methods in Data Analysis - Functional parallel programming for big data analytics - Models in parallel programming - General Purpose GPU Programming - Workflow Systems - Resource-aware computing - Data Mining - Grid, Cluster and Cloud Computing - Knowledge Discovery in Wide Area Networks Admission requirements Bachelor degree in Computer Science, Computer Engineering, Computer Science in Economics Tuition fees Students coming from: - EU/EEA – 3000 RON / year - Non-EU countries – 3000 EURO / academic year [-]