Computing Science
The enormous power of IT is the main driving force shaping modern society, going beyond the technical and economic aspects. In this Master’s programme, you can study the design and analysis of software, machine learning and big data, cyber security, or the logic and mathematics behind computation, but also the interplay between these areas. In the Computing Science Master's programme, you can opt for six specialisations.
Specialisations
Cyber Security. As our society's reliance on IT increases, cyber security grows in importance. In this specialisation, you learn how to assess the security of existing ICT systems, and how to develop more secure future solutions.
Cyber Security and AI. The interplay between AI and Cyber Security provides solutions to many real-world problems, but also brings new challenges. In this unique specialisation, you will learn to understand the latest approaches of the interaction between both domains.
Data Science. Data plays a role in almost every scientific discipline, the corporate sector and social organisations. This specialisation will teach you how to transform data into knowledge and solutions.
Mathematical Foundations of Computer Science. The Master's specialisation of Mathematical Foundations of Computer Science is all about understanding the fundamental mathematical concepts of computation and information, to explore the potentials of computer science.
Software Science. Software plays a role in almost every aspect of our daily lives and in every organisation across the globe. This specialisation focuses on analysing and testing of code in order to both improve and simplify it.
Science, Management and Innovation. In Science, Management and Innovation (SMI) you will gain expertise in societal challenges, work on the Sustainable Development Goals (SDGs) and learn the ability to speak the language of policy and business.
Science in Society. Are you concerned about what is going on in the world? Do you have an interest in people, policies, science and society? In this specialisation, you study the relevance of science in society using theoretical principles and practical examples.
Į magistro studijų programas gali stoti visi, baigę universitetą arba besimokantys paskutiniame kurse. Studijos kurias baigei ar tebesimokai turi būti panašios krypties kaip ir tos, į kurias nori stoti, kadangi priėmimas yra paremtas ECTS kreditų suderinamumu.
- ECTS kreditų išrašas - jei dar nesi baigęs aukštosios mokyklos, būtina prisegti ECTS kreditų išrašą, kuriame būtų matyti, kokius dalykus Tu mokeisi bei kokius pažymius ir kiek kreditų už juos gavai. Kai siunti anketą paskutiniame kurse, diplomą reikia prisegti vėliau, kai tik jį gausi.
- Bakalauro diplomas – jei jau esi baigęs aukštąją mokyklą, išrašo nereikia, užtenka prie anketos prisegti savo Bakalauro diplomą.
Anglų kalbos žinias gali patvirtinti vienu iš šių būdų:
- IELTS – 6.5
- TOEFL – 90
A completed Bachelor's degree in Computing Science or related area
In order to get admission to this Master’s you'll need a completed Bachelor’s degree in Computing Sciences or a related discipline, such as Artificial Intelligence and Mathematics. For the specialisation in Data Science, we also encourage students to apply who have a background in natural sciences, such as Chemistry, Biology, and Physics, with a keen interest in data analytics and proven mathematical and programming skills. In all cases, the Examination Board will consider whether or not you have met the requirements.
There is a serious shortage of well-trained information specialists. Often students are offered a job before they have actually finished their study. About 20% of our graduates choose to go on to do a PhD but most find jobs as systems builders, ICT specialists or ICT managers in the private sector or within government.
The career prospects for the Master’s programme in Computing Science differ slightly, depending on which Master’s specialisation you choose. Below you can find the career prospects of each specialisation:
