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View all Master Programs in Big Data in Romania

A masters is awarded to students who have completed postgraduate level study in a specific field of study or area of professional practice while demonstrating a high level of mastery during the process.

Big data is an important field of study for any business that handles data sets far larger than common software tools can handle. The applications of big data are used in healthcare, the military, education, manufacturing and many other industries.

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.

Masters Degree in Big Data in Romania

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1 Results in Big Data, Romania

UNIVERSITATEA BABEȘ-BOLYAI

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 ... [-]
Romania Cluj-Napoca
October 2019
Full-time
2 years
Campus
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