The benefits of a Masters extend beyond improving your earning potential. They can provide you with personal and professional skills to accelerate your development. They are also an opportunity to differentiate yourself from your peers, many of whom will have similar A-level and undergraduate qualifications.
As the computer science field of study became increasingly prevalent, many had their doubts that this field of study would continue. It was not until the 1950s that computer science began to be observed as a legitimate science among academics. It is thanks to the IBM brand that this became part of the main-stream culture.
Romania is a country located at the intersection of Central and Southeastern Europe, bordering on the Black Sea. Getting to Romania is easy from nearly all parts of the world, due to its position, as well as the fact that it is served by an array of transport types and companies. Romanian universities offer great choice of undergraduate and postgraduate programs in Romanian, English, French and German.
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.
Request Information Master's Degrees in Computer Science in Cluj-Napoca in Romania 2018/2019
The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity. [+]
The master’s program aims at providing students with the appropriate tools for further doctoral studies and professional activity.Program objectives
Acquisition of theoretical, applicative and practical knowledge in:complex systems modeling 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 modeling for teamwork 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 ... [-]