Master Program in Computing in Romania

View Masters Programs in Computing in Romania 2018


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.

Computing studies may cover hardware and software system design and development, information processing, the creation of various types of entertainment and communication media and scientific research on computers. The field includes various disciplines such as information technology, software engineering, computer engineering and computer science. 


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.

Top Master Programs in Computing in Romania 2018

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Master in Artificial Intelligence and Distributed Computing

Universitatea De Vest Din Timisoara
Campus Full time 2 years September 2018 Romania Timisoara

The Artificial Intelligence and Distributed Computing Master's Program taught in English aims to offer competences in designing intelligent systems with application in various scientific and technical fields and in using the most recent technologies in high-performance computing and distributed computing. It is a two years program organized in three semesters devoted to teaching and a fourth one focused on research activities and the MSc thesis preparation. The students have the opportunity to use the infrastructure of the High-Performance Computing Lab (, participate in international research projects and to industrial projects conducted in collaboration with IT companies. [+]

The Faculty of Mathematics and Computer Science offers study programs in mathematics and informatics for around 1200 students.

The Department of Computer Science offers BSc study programs in Informatics (in Romanian and in English) and Applied Informatics (in Romanian), MSc study programs in Artificial Intelligence and Distributed Computing (in Romanian and in English), Software Engineering (in Romanian) and Applied Informatics in Science, Technology and Economics (in Romanian), PhD programs in Cloud Computing, High Performance Computing, Artificial Intelligence, Automated Reasoning and Theoretical Computer Science which are also the main research directions of the department members (for details see [-]

Master in High Performance Computing and Big Data Analytics

Campus Full time 2 years October 2018 Romania Cluj-Napoca

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 ... [-]