24 monthsProgramme duration
SepStarting Month
Programme overview
Main Subject
Health/Healthcare
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Artificial Intelligence programme of VU Amsterdam allows you to analyse, develop and apply new AI techniques to come up with solutions that make sense within their social context.
The programme consists of a number of compulsory courses that cover the key concepts of AI. You will learn how human behaviour can be interpreted based on sensor data and computational models of physiological and cognitive processes. You will also gain experience in integrating such models in dedicated, intelligent applications that support humans in their daily lives.
In addition, there are lots of possibilities and opportunities to specialise in your area of interest. You can continue to study AI techniques in more depth, building on the core topics, or choose advanced elective courses such as Deep Learning.
Cognitive Science track
Another option is to continue in the specialised Cognitive Science track, during which you gain an in-depth understanding of the cognitive aspects of AI. The track focuses on the processes that underlie human functioning from two different research perspectives: empirical work and computational modelling.
AI for Health track
AI for Health is a track in collaboration with Medical Informatics (Amsterdam UMC, UvA). In this track you will learn about medical informatics basics, Medical AI (with a focus on imaging techniques in medicine and natural language processing techniques in medicine), and how to combine machine learning and reasoning for health applications. Two courses will take place at Amsterdam UMC, location AMC.
VU Amsterdam's AI programme is a pioneer in the development of intelligent systems. As a Master's student, you also have the option to work on advanced information systems at a wide range of companies and institutions.
The start date of this programme is September 1st.
The content and exit qualifications of the programme are reviewed every year by our Professional Advisory Board.
Programme overview
Main Subject
Health/Healthcare
Degree
Other
Study Level
Masters
Study Mode
On Campus
The Artificial Intelligence programme of VU Amsterdam allows you to analyse, develop and apply new AI techniques to come up with solutions that make sense within their social context.
The programme consists of a number of compulsory courses that cover the key concepts of AI. You will learn how human behaviour can be interpreted based on sensor data and computational models of physiological and cognitive processes. You will also gain experience in integrating such models in dedicated, intelligent applications that support humans in their daily lives.
In addition, there are lots of possibilities and opportunities to specialise in your area of interest. You can continue to study AI techniques in more depth, building on the core topics, or choose advanced elective courses such as Deep Learning.
Cognitive Science track
Another option is to continue in the specialised Cognitive Science track, during which you gain an in-depth understanding of the cognitive aspects of AI. The track focuses on the processes that underlie human functioning from two different research perspectives: empirical work and computational modelling.
AI for Health track
AI for Health is a track in collaboration with Medical Informatics (Amsterdam UMC, UvA). In this track you will learn about medical informatics basics, Medical AI (with a focus on imaging techniques in medicine and natural language processing techniques in medicine), and how to combine machine learning and reasoning for health applications. Two courses will take place at Amsterdam UMC, location AMC.
VU Amsterdam's AI programme is a pioneer in the development of intelligent systems. As a Master's student, you also have the option to work on advanced information systems at a wide range of companies and institutions.
The start date of this programme is September 1st.
The content and exit qualifications of the programme are reviewed every year by our Professional Advisory Board.
Admission Requirements
Scholarships
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