Master of Science (MSc) in Artificial Intelligence - Specialization in Intelligent Technology

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The Artificial Intelligence Master's programme at Radboud University has a distinctly cognitive focus where computational modelling is the central methodology used to understand naturally intelligent systems, build artificially intelligent systems and improve the interactions between natural and artificial systems. Students can choose one of two specialisations: Cognitive Computing or Intelligent Technology.

This Master's specialisation has a focus on developing intelligent machines and new ways for humans and machines to interact, as well as understanding cognition through human behavior. We concentrate on communication and interaction between multiple intelligent agents with a special focus on language.

What will you learn?

In this specialisation you will learn about state-of-the-art techniques in important application areas of AI, such as using Nengo to implement cognitive robotics, machine learning techniques to understand word embeddings, Unity programming to realize computer graphics, and setting up an EEG system for brain-computer interaction. You will learn about the societal impact of AI and neurotechnology on our daily life and how AI may improve the quality of life in patients and persons with disabilities.

Where do our graduates work now?

Examples of fields and jobs after graduation:

  • Natural language processing
  • Computer graphics
  • Perceptual systems (audio/visual/language)
  • Artificial Intelligence & Health Specialist
  • Autonomous systems specialist (Robotics, Autonomous Driving)
  • HCI Researcher

Career prospects

Our Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of our graduates go on to do a PhD either at a major research institute or university with an AI department. Other graduates work for companies interested in cognitive design and research. Examples of companies looking for AI experts with this specialisation: , Webpower, Google, Facebook, Philips, , Philips, Rabobank. Some students have even gone on to start their own companies.

Job positions

Examples of jobs that a graduate could get:

  • PhD researcher, for example, on enhancing speech recognition using semantic knowledge or in user interaction design for patient doctor communication in a virtual hospital
  • Data Scientist in a web start-up
  • Developer for Computer Aided Language Learning
  • EU R&D programme leader on machine translation of natural language
  • Developer of intelligent software for music studios

Khoa bạn sẽ vào học

Faculty of Social Sciences

Các hình thức học tập

Toàn thời gian (2 năm)

Học phí
€17,000.00 (454,932,354 đ) một năm
Ngày bắt đầu

Dự kiến Tháng Chín 2024

Địa điểm

Radboud University

Houtlaan 4,

NIJMEGEN,

Gelderland,

6525 XZ, Netherlands

Yêu cầu đầu vào

Dành cho sinh viên quốc tế

Applicants have completed:

A Bachelor's degree in Artificial Intelligence from Radboud University
A Bachelor's degree from a Research University in Artificial Intelligence or a related programme with a comparable content that sufficiently prepares for an advanced Master's programme 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)

Proficiency in English

In order to take part in this programme, you need to be proficient in both written and spoken English. Students without a Bachelor's degree wherein the language of instruction was English, need to have obtained one of the following certificates before the enrolment deadline (you will not be needing these certificates when you apply at Radboud University):

TOEFL iBT: ≥ 90, subscores ≥ 22
IELTS Academic: ≥ 6.5 overall, subscores ≥ 6.0, writing subscore ≥ 6.5
Cambridge C1 Advanced or C2 proficiency: C or higher

Application Deadline: Non-EU/EEA students - 1 April; EU/EEA students - 1 May (recommended deadline for assistance with finding housing) and 1 July (final application deadline).

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