Intelligent Technology, M.Sc. in Netherlands

Radboud University

Study in:Netherlands
42 days
Remaining
Deadline: 1 Apr 2019

About

Why study Intelligent Technology at Radboud University?

  • Our cognitive focus leads to a highly interdisciplinary AI program where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
  • This specialisation offers plenty of room to create a programme that meets your own academic and professional interests.
  • Exceptional students who choose this specialisation have the opportunity to study for a double degree in Artificial Intelligence together with the specialisation in Data Science. This will take three instead of two years.
  • Together with the world-renowned Donders Institute, the Max Planck Institute and various other leading research centres in Nijmegen, we train our students to become excellent researchers in AI.
  • Our AI students are a close-knit group; they have their own room in which they often get together to debate and develop their projects. Every student also receives personal guidance and supervision from a member of our expert staff.

Program Structure

Courses include:

  • Advanced Academic & Professional Skills
  • Societal Impact of AI
  • Machine Learning in Practice
  • Statistical Machine Learning
  • Cognitive Robotics
  • Neural Information Processing Systems
  • New Media Lab
  • Text and Multimedia Mining

Academic Requirements

A completed Bachelor’s degree (or equivalent) from a Research University in Artificial Intelligence or a related program (Intelligent Technology) with a comparable content that sufficiently prepares for an advanced Master’s program in AI. An acceptable candidate should have:

  • Substantial knowledge of Computer Science (in particular sufficient programming experience and software development experience, at least 15-24 EC)
  • A sufficient Mathematics background (knowledge of calculus, linear algebra, statistics)
  • A broad knowledge of core Artificial Intelligence techniques (such as logic, machine learning, search & planning, reasoning under uncertainty) at an introductory level (12-18 EC)

Funding

  • Radboud Scholarship Programme

RSP offers approximately 30 talented prospective non-EEA students the opportunity to receive a scholarship, which consists of a partial tuition waiver.

Detailed Program Facts

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