A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.
Lithuania, officially the Republic of Lithuania is a country in Northern Europe, the largest of the three Baltic states. It is situated along the southeastern shore of the Baltic Sea, to the east of Sweden and Denmark. More than 90% of Lithuanians speak at least one foreign language and half of the population speaks two foreign languages, mostly Russian and English.
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.
Request Information Master's Degrees in Informatics in Kaunas in Lithuania 2018/2019
The program is oriented towards today’s and tomorrow’s application domains, covering data retrieval, robotics, artificial intelligence, neural networks, data visualization, distributed and cloud computing. [+]
The program is oriented towards today’s and tomorrow’s application domains, covering data retrieval, robotics, artificial intelligence, neural networks, data visualization, 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, modeling, 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 analyze IT projects and their influence on business, culture and social context. Career Opportunities ... [-]