Masters by Research in Computing Science (Part time) - Máster en Investigación en Informática
1. 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. We also encourage students in natural sciences, such as Chemistry, Biology, and Physics, with a keen interest in data analytics and proven mathematical and programming skills, to apply.
2. A proficiency in English
•TOEFL score of ≥575 (paper based) or ≥232 (computer based) or ≥90 (internet based)
•IELTS score of ≥6.5
•Cambridge Certificate of Advanced English (CAE) or Certificate of Proficiency in English (CPE), with a mark of C or higher
The rapidly growing power of ICT affects almost every aspect of our daily lives. This raises questions like how to manage and control the complexity of modern software, how to use the increasing amounts of data or how to provide security in the ICT infrastructure. These questions are some of the areas in which the Master’s programme in Computing Science operates. Furthermore, there are six specialisations to choose from: Cyber Security; Data Science; Software Science; Mathematical Foundations of Computer Science; Science, Management and Innovation; or Science in Society.
The master´s programme in Computing Science offesr six specialisations:
Cyber security is a topic of growing importance, as ICT affects ever more aspects of our daily lives Businesses and government rely on ICT to an ever larger degree. Both assessing the security of existing ICT solutions and developing more secure solutions for the future pose major scientific and societal challenges.
This Master track covers a broad range of topics that is important for computer security. This includes topics in computer science (software, computer networks, and hardware, esp. smart-cards and RFID), but also mathematical aspects (cryptography and security protocols), as well as organizational and management issues, legal aspects, and societal issues (in particular privacy).
Data nowadays plays a role in almost every scientific discipline as well as industry and is rapidly becoming a key driver of scientific discoveries, business innovation, and solutions for societal challenges such as better healthcare. Medical scientists are sequencing and analyzing human genomes to uncover clues to infections, cancer, and other diseases. With huge telescopes, astronomers generate terabytes of data per hour to study the formation of galaxies and the evolution of quasars. Businesses like Google and Amazon are sifting social networking and user preference data to fulfill desires we don´t even know we have. Police employing seismology-like data models can predict where crimes will occur and prevent them from happening.
Software is everywhere. Our daily life is governed by software: it supports our medical devices, our social life, the financial markets, our food production, and our transportation. Software will continue to transform all aspects of our lives and culture in the decades ahead. Producing software is not merely a technological enterprise but a deeply scientific one as well. Modern cars drive on 20 million lines of code. How do we develop all this software and control its complexity? How do we ensure correctness of software on which our lives depends? Writing good software is a highly creative process, which requires the ability to approach problems in entirely novel ways through computational thinking. The Internet, UNIX, Google, Facebook, Twitter, Bluetooth, and TomTom are examples of computer programs, created initially by only a few people, which have transformed our world. Software science is an intellectually challenging subject that underpins the core technologies of the 21st century.
•Mathematical Foundations of Computing Science
In this Master´s programme, mathematicians working in areas pertinent to (theoretical) computer science, like algebra and logic, and theoretical computer scientists, working in areas as formal methods and theorem proving, have joined forces to establish a track in the Mathematical Foundations of Computer Science. The programme is unique in The Netherlands and will be built on the excellence of both research institutes and the successful collaborations therein.
The emphasis of the Master´s is on a combination of a genuine theoretical and up-to-date foundation in the pertinent mathematical subjects combined with an equally genuine and up-to-date training in key aspects of theoretical computer science. For this reason, the mathematics courses in this curriculum concentrate on Algebra, General Topology, Logic, Number Theory, and Combinatorics. The computer science courses concentrate on Formal Methods, Type Theory, Category Theory, Coalgebra and Theorem Proving.
•Science in Society
This specialisation will equip you with the tools and skills to become a professional intermediary between science and society. You’ll learn to analyse (governmental) science communication and connect scientific knowledge with divergent perspectives and interests of various stakeholders.
•Science, Management and Innovation
This specialisation will teach you what is happening in the world of business and public administration, how innovation is managed in company strategies, how government designs policy and how that interacts with societal challenges.
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.