Master Degree in Networks in Lithuania

Find Masters Programs in Networks in Lithuania 2017

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.

Top Master Programs in Networks in Lithuania 2017

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Master Sensor System Engineering (SSE)

Hanze University of Applied Sciences - Groningen, the Netherlands
Campus Full time 1 year

This master prepares you for a bright future in the fascinating world of advanced sensor applications. A domain that is rapidly growing, providing all kinds of interesting prospects for you, ambitious engineers. Within the globally important domain of health, sensor applications will provide totally new ways to monitor, heal, treat and care for people. [+]

Best Masters in Networks in Lithuania 2017. Sensor System Engineering: www.hanzegroningen.eu/msse Passionate about technology and engineering? ​​ Are you open minded, do you like to stretch boundaries to find out what is out there? Can you apply yourself, developing new ways to move the technology ahead, specifically in the health domain? Then take a moment to consider the opportunity to join us for one year to complete the Sensor System Engineering (SSE) honours master's programme.​​​ Programme overview General knowledge about sensor applications needed for any type of specialisation Specialised knowledge involving sensors in the health domain Honours content Master's thesis project (30 ECTS) General knowledge about sensor applications needed for any type of specialisation Linear algebra (4 ECTS): mathematics required for the next modules. Advanced data analysis (4 ECTS): integrating data coming from multiple complex sensors and to interpret this data correctly Modelling & simulation (4 ECTS): theory and tools required to model complex systems and to analyse and represent simulated data. Data centric architectures (4 ECTS): the architectural design of sensor systems at the level of of system architectures for big data applications and at the level of digital signal processing (DSP). Specialised knowledge involving sensors in the health domain Products and services in Health (4 ECTS): using real cases to learn the full design process of a health related sensor system. Sensor applications in Health (3 ECTS): exploration of sensor applications in biology, technology, diagnostics and application in health environments like hospital and home care. Honours content Professional skills (3 ECTS): learning to excel in the professional fi eld by developing essential professional, non-technical skills. Research & ethics (5 ECTS): learning necessary research skills as well as the ability to reflect on ethical issues. Community contribution (1 ECTS): forming a network for the students to help them solve particular problems in a multidisciplinary setting. Master's thesis project (30 ECTS) A six month research project in the domain of sensor technology and health in industry, a research institute or university department, resulting in a master's thesis. [-]

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 [+]

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. [-]

Master in Computer Modeling

Vilnius University
Campus Full time 3 semesters September 2017 Lithuania Vilnius

The Computer Modelling programme ensures to use computer modelling technologies and participate in their development, to imply the generation and analysis of hypotheses and ideas, scientific, empirical and applied [+]

Best Masters in Networks in Lithuania 2017. The Computer Modelling programme ensures to use computer modelling technologies and participate in their development, to imply the generation and analysis of hypotheses and ideas, scientific, empirical and applied research, interpretation of results, to develop research and analytical skills, professional ethics code, to generate reports. Constant improvement is determined by the specific character of the study program, as reaction to the fast changes of technological development, which causes improvements of various kind, by adding courses of cloud computing, of images and signal processing, of web services, etc. Students will gain knowledge according to curricula, as well as skills to research work, including HPC (high performance computing), Grid/ Cloud computing, also using supercomputer. The final stage of studies will include research done for master thesis and it’s defence. [-]