Students will be provided with a strong foundation in the concepts, analysis techniques, and design methods underlying the development of modern information and software systems.
An integrated mix of disciplinary knowledge, design and experimentation, and research results in these six thematic focus areas: * Software design * Formal methods and program analysis * Algorithm design and complexity * Advanced planning and decision making * Decision support systems and their realization (Engineering Bayes) * Algorithmic data analysis (Big Data) The content of the study programme offers the opportunity of great flexibility to students, and to combine courses in individual study lines. Graduates qualify for PhD studies in the areas of the thematic focus areas and in a broad range of other subareas of computer science. Next to this our graduates are also in demand and find jobs in a great variety of industries and companies, such as: KLM (Royal Dutch Airlines) Google and Philips.
Tuition fee for the international students.)
European Economic Area tuition fee is applicable to the students from EU countries, Iceland, Liechtenstein, Norway and Switzerland.)
Types of teaching (in year 1):
This programme has a workload of 120 ECTS.
Formal methods and program analysis:
Algorithm design and complexity:
Advanced planning and decision making:
Decision support systems:
Algorithmic data analysis:
Additional language requirements:
No work experience is required.
Accredited by: NVAO in: Netherlands
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Founded in 1636, Utrecht University is an esteemed international research university, consistently positioned in the top 15 in continental Europe and the worldwide top 100 of international rankings. The university is located in the city of Utrecht, one of the most beautiful and safest cities in Northern Europe. Joining Utrecht University as a masterís student on one of our 86 English-language Masterís programmes will make you part of an innovative and internationally oriented academic community engaged in cutting-edge and multidisciplinary teaching and research.