The Master's programme in Computing Science at the Science Faculty of Radboud University Nijmegen offers three research specialisations embedded in the Institute for Computing and Information Sciences (ICIS), and one jointly offered with the institute of Mathematics.
Computer Science
Subject code
WUR31.0012
Why study this programme?
Why study this programme
In independent research assessments over the past 10 years, our institute has consistently been ranked as the top computing science institute in the Netherlands. Especially in Cyber Security research, Radboud University is leading.
Study in an AACSB-accredited Oulu Business School.
Oulu is a well-established technology hub with a vibrant startup scene and plenty of opportunities in the software industry.
Students benefit from a multidisciplinary university and can take courses from humanities, education to business and technology.
Overview
Would you like to champion in user-centered digitalisation?
Software Engineering and Information Systems Master's programme will provide the student with up-to-date skills to have a successful career as a software and ICT expert or manager in a global company.
The Master's programme in Computer Science and Engineering grounds on world-class research.
Our broad and principled approach to computer science will give you a thorough grounding in theory as well as practical skills, helping you to solve real-world problems. Learn in our modern, self-contained building houses a range of computer labs stocked with the latest technologies. The popular Computer Science study and social pod is open 24/7 for group and individual study and events.
Department of Software Engineering was founded in 2005 as the first department in Ankara in Software Engineering. The recent developments in current technologies such as Artificial Intelligence, Machine Learning, Big Data, and Blockchains, have placed Software Engineering among the top professions of today, and the future.
This masters course gives you essential skills in the areas of data preparation, data modelling, predictive modelling, and a variety of data science / analytic solution areas such as customer analytics, fraud detection and healthcare analytics. You'll learn how to apply data wrangling, analytic programming, data mining, and quantitative methods to help organisations understand past performance, predict future events, and optimise processes.