Master of Science [M.S] (Artificial Intelligence - Intelligent Technology)
STEM Course
2 years
Full Time
On Campus
€17,000/Yr
€17,000 /Yr
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. The main concentrate of the program on communication and interaction between multiple intelligent agents with a special focus on language.
In this specialisation you will learn about :-
- Techniques in important application areas of AI, machine learning etc.
- Societal impact of AI and neurotechnology
- Advanced AI methods, neurotechnology, brain-computer-interfaces, speech recongition, and vision and auditory prosthetics.
- You have the opportunity to study for a double degree, for example in Artificial Intelligence: Intelligent Technology and Computer Science: Data Science.
- This specialisation focuses on the application of AI techniques and principles in healthcare, assistive technology, human-robot interaction, and other application areas.
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Tuition Fees
Year | 1st Year Fees |
---|---|
Tuition Fees | €17000 (EUR 17000) |
Previous Year Fees
Year | 1st Year Fees |
---|---|
2021 | €20100 (EUR 20100) |
Eligibility & Entry Requirement
- A bachelor`s degree in artificial intelligence from Radbound University, or equivalent
- A bachelor`s degree from a Research University in Artificial Intelligence or a related programme with a comparable content that sufficiently prepares for an Master's programme in advanced AI.
- To prove your english proficiency you need either atleast 90 marks in TOEFL, or atleast score 6.5 in IELTS
An acceptable candidate should have:
- Substantial knowledge of Computer Science (in particular sufficient programming experience and software development experience, approximately 15-24 EC)
- A sufficient Mathematics background (knowledge of calculus, linear algebra, statistics), approximately 12 EC.
- A broad knowledge of core Artificial Intelligence techniques (such as logic, machine learning, search & planning, reasoning under uncertainty) at an introductory level (approximately 12-18 EC)
Required Document List
- Certificates of academic/professional qualifications
- A certified copy of your passport or ID
- A certified copy of your transcript of records and your diploma certificate (if obtained)
- A chronological overview of your academic qualifications
- A filled-out Application Requirements form
Course Guides
Career and Placement after Course
- Researcher
- Data Scientist
- Developer for Computer Aided Language Learning
- R&D programme leader on machine translation of natural language
- Developer of intelligent software
Scholarship Grants & Financial Aids
Name | Scholarship Per Student | Level of Study | Type | |
---|---|---|---|---|
Radboud Scholarship Programme | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeCollege-Specific | |
JN Tata Endowment Scholarship | Scholarship per studentVariable Amount | Level Of StudyDoctorate | TypeMerit-Based | |
Orange Knowledge Programme | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based | |
University of Twente Holland Scholarship | Scholarship per student€ 5,419/Yr$5,419 | Level Of StudyBachelor | TypeMerit-Based | |
Holland Scholarships | Scholarship per studentVariable Amount | Level Of StudyBachelor | TypeMerit-Based | |
VU Fellowship Programme | Scholarship per studentVariable Amount | Level Of StudyMaster | TypeMerit-Based |
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