The M.A. in Media Communication taught in English at FSPAC offers students a better understanding of media technologies, messages, production, distribution and reception practices and equips students with the skills necessary to become media consultants, media analysts, researchers, professional communication specialists, online system designers, campaign managers or spokespersons.

The curriculum features research-oriented courses that emphasize the use of new tools for data collection and analysis, project-based courses that encourage team-work and the development of professional competencies, skills-oriented courses focusing on broadcasting and digital media production, web design and storytelling and theoretical courses that aim to contextualize communication, describe frameworks and discuss the contributions of different scholars to media theory.... [-]

Education of master students in Advanced Chemical Process Engineering is based on a modern curriculum merging knowledge from exact sciences, information technology, and engineering, complemented with a molecular design. On the basis of the gained knowledge, the graduate master engineers will be able to use the concepts and methods of advanced computer-aided process engineering in industry, pilot or laboratory scale applications.

Tuition fees

EU, EEA country and the Swiss Confederation citizens:

Tuition fee quantum is the same as for the Romanian citizens: 2500 lei/academic year. The tuition fee can be paid in four equal installments.

For citizen from non-EU countries:

Tuition fee quantum for an academic year: 270 Euro/month. An academic year consists of 9 months of teaching activity. Graduation diploma exam fee: 500 Euro* [-]

Advanced mathematics focuses on the study and creation of mathematical and computational tools broadly applicable in science and engineering, and on their use in solving challenging problems in these and related fields.

From ecological modeling to mechanics, from statistical analysis to mathematical economics, areas of investigation are diverse. This master’s program offers advanced theoretical knowledge in this complex and dynamic domain.

Core compulsory courses

Qualitative theory of ordinary differential equations; Group theory and applications; Mathematical methods in fluid mechanics; Methodology of the mathematical research; Nonlinear partial differential equations; Techniques of function approximation; Rings and modules; Applied nonlinear analysis; Complex analysis in on and higher dimensions; Algebraic topology; Homological algebra.... [-]

The 2 years master program provides advanced theoretical and practical training in the field of computational physics, with emphasis on computer-based modeling and simulation of physical processes and phenomena.

It is based on a modern curriculum merging advanced knowledge of classical physics, modern physics, computational physics with interdisciplinary applications and basics of modern programming concepts and languages. The master program provides the development of advanced programming capabilities and algorithmic thinking and usage of software for numerical and symbolic computation.

Moreover, it provides the capability to apply advanced numerical and simulation methods in science and economy, to find a solution of complex problems and optimal decision making, and to design and manage complex research and development programs. The master program aims to provide students with the appropriate tools for further Ph.D. studies and to become professional experts in the field through continuing professional training programs.... [-]

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 ... [-]