[MSc] Artificial Intelligence: Intelligent Technology

Radboud University
Netherlands, Nijmegen

Study location	Netherlands, Nijmegen
Type	Master courses, full-time
Nominal duration	2 years (120 ECTS)
Study language	English
Awards	MSc

Entry qualification	Undergraduate diploma (or higher) A Bachelor’s degree in Artificial Intelligence or a related programme with comparable content from Radboud University or other Research University. You are required to have: 1) substantial knowledge of Computer Science (in particular sufficient programming experience and software development experience); 2) a sufficient Mathematics background (knowledge of calculus, linear algebra, statistics); 3) a broad knowledge of core Artificial Intelligence techniques (such as logic, machine learning, search & planning, reasoning under uncertainty) at an introductory level; 4) a demonstrable knowledge in disciplines such as robotics, computational linguistics, or ambient intelligence; 5) more advanced knowledge of Artificial Intelligence models and techniques such as data mining and multi-agent systems. The entry qualification documents are accepted in the following languages: English / German / Dutch. Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original. It is required that you send verified copies of the entry qualification documents directly to the university by postal mail. Important! Never send original documents by post! Radboud University Central Student Administration P.O. Box 9102 6500 HC Nijmegen

Entry qualification

Undergraduate diploma (or higher)

A Bachelor’s degree in Artificial Intelligence or a related programme with comparable content from Radboud University or other Research University.

You are required to have:

1) substantial knowledge of Computer Science (in particular sufficient programming experience and software development experience);
2) a sufficient Mathematics background (knowledge of calculus, linear algebra, statistics);
3) a broad knowledge of core Artificial Intelligence techniques (such as logic, machine learning, search & planning, reasoning under uncertainty) at an introductory level;
4) a demonstrable knowledge in disciplines such as robotics, computational linguistics, or ambient intelligence;
5) more advanced knowledge of Artificial Intelligence models and techniques such as data mining and multi-agent systems.

The entry qualification documents are accepted in the following languages: English / German / Dutch.

Often you can get a suitable transcript from your school. If this is not the case, you will need official translations along with verified copies of the original.

It is required that you send verified copies of the entry qualification documents directly to the university by postal mail. Important! Never send original documents by post!

Radboud University
Central Student Administration
P.O. Box 9102
6500 HC Nijmegen

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

Language requirements

English

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

Other requirements	A motivation letter must be added to your application. Please upload an overview that contains, in chronological order, information about your education and knowledge/experience acquired during an internship, training, or work; for example, a resume. Please fill in and upload the Application Requirements form.

Other requirements

A motivation letter must be added to your application.

Please upload an overview that contains, in chronological order, information about your education and knowledge/experience acquired during an internship, training, or work; for example, a resume.

Please fill in and upload the Application Requirements form.

More information	ru.nl/..ion/masters/intelligent-technology

Interested? To learn more about this study programme, entry requirements and application process, please contact one of our consultants in a country nearest to you.

The Master’s programme in Artificial Intelligence is taught at the Faculty of Social Sciences. It has a course load of 120 EC* (two years). The structure of the programme is presented here.

Artificial Intelligence graduates have excellent job prospects and are often offered a job before they have actually graduated. Many of the 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: Booking.com, Webpower, Google, Facebook, Philips, Booking.com, Philips, Rabobank. Some students have even gone on to start their own companies.

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

Apply now! Fall semester 2023/24

Please see the university profile or contact us for the deadlines that apply to you

Save to my wishlist

Apply now! Fall semester 2023/24

Please see the university profile or contact us for the deadlines that apply to you

Save to my wishlist

MScArtificial Intelligence: Intelligent Technology

Overview

Programme structure

Career opportunities