Masters Program in Software Engineering in Lithuania

See Masters Programs in Software Engineering in Lithuania 2017

Software Engineering

A master's degree is a postgraduate academic degree. One must already have an undergraduate degree to apply for a master's program. Most master's degree program would require students to complete a master's thesis or research paper.

Software engineering refers to applying engineering methods and techniques to computer programming and software creation. Software engineering students often learn about disciplines such as computer science and mathematics to help them create customized software systems for companies or large corporations.

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.

Top Master Programs in Software Engineering in Lithuania 2017

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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 [+]

Best Masters in Software Engineering in Lithuania 2017. 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. [-]