Master's Degree in Networks in Kaunas in Lithuania

View Masters Programs in Networks 2017 in Kaunas in Lithuania

Networks

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.

 

Networks can be an important part of everything from social organizations to computer systems. Students who pursue studies in network theory generally learn about the principles that underlie these systems as well as relevant real-world applications.

The Republic of Lithuania is the official name of the country. It is found in Northern part of Europe. Lithuania appreciates science and technology in their education system highly. It has the basic aspects of primary, secondary and tertiary levels of education. Lithuania is another leading country in the provision of arts, science, engineering as well as technological courses. Lithuania has faced several challenges in higher education the last years that led to the creation of 20 universities to enhance its accessibility.

Kaunas has been famous for its cultural heritage and academic value. Educational institutions in the city, such as Vytautas Magnus University, Lithuanian University of Health Sciences, and Aleksandras Stulginskis University have been empowering human capital with quality education since years.

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Master in Applied Informatics

Vytautas Magnus University
Campus Full time 2 years August 2017 Lithuania Kaunas

Programme is oriented towards today’s and tomorrow’s application domains, covering data retrieval, robotics, artificial intelligence, neural networks, data visualisation, distributed and [+]

Masters in Networks in Kaunas in Lithuania. Unique Features Programme is oriented towards today’s and tomorrow’s application domains, covering data retrieval, robotics, artificial intelligence, neural networks, data visualisation, distributed and cloud computing. Competencies Acquired - Knowledge and understanding of data mining techniques and their applicability in different domains. - Knowledge and understanding of the design and implementation of intelligent and adaptive systems. - Knowledge of professional development of commercial and social IT products using modern computer platforms, and estimation of their demand, impact and relevance to users, enterprises or organizations. - Ability to perform interdisciplinary R&D in data mining and data analysis field, apply research results in practical applications. - Ability to perform interdisciplinary R&D in natural language processing and information retrieval field, apply research results in practical applications. - Ability to perform interdisciplinary R&D in systems analysis, modelling, identification and control field, apply research results in practical applications. - Ability to apply data mining techniques for the analysis of diverse data (sound, ECG, EEG). - Ability to analyze, formalize and model systems and processes of different complexity. - Ability to apply Natural Language Processing techniques. - Ability to apply parallel programming skills for the development of concurrent distributed and multi-core/-processor systems. - Ability to design multiplatform services and applications, integrating intelligent and adaptive technologies. - Ability to clearly and convincingly present problems and suggested solutions to experts and non-experts, using ground knowledge, reasoning, relevant presentation tools and methods. - Ability to professionally communicate and collaborate in distributed IT projects. - Ability to critically analyse IT projects and their influence to business, culture and society context. Career Opportunities Graduates of Applied Informatics will be able to work as programmers, software architects, analysts, consultants, project managers, department managers in different organizations, state institutions and business units; as researchers, scientific workers, assistants and lectors in science and education institutions. Graduates will be able to establish their own information technology business companies. Graduates of Applied Informatics may continue studies in PhD studies in informatics (Computer Science) or Computer Engineering. [-]