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The Advanced Master of Artificial Intelligence programme at KU Leuven explores and builds on the fascinating challenges of cognitive processes and models, natural language and perception. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds - including engineering, sciences, economics, management, psychology, and linguistics - in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.
The option Big Data Analytics is intended for graduates in Computer Science and trains them to become specialists in the analysis of Big Data. It instructs the students in Statistics, Machine Learning, Data Mining and Advanced programming techniques for dealing with Big Data. It offers a range of application domains in Information Retrieval, Bio-Informatics, Computer Vision and others.
The understanding of the principles of intelligence, the development of artificial intelligence and its many applications in different areas requires a multi-disciplinary approach. The Advanced Master of Artificial Intelligence programme is internationally and interdisciplinary oriented. It aims at educating students from a wide variety of different backgrounds. A basic introductory part of the programme consists of fundamentals of artificial intelligence and a broadening course that the student selects from either cognitive science, philosophy of mind and artificial intelligence or privacy and big data. Specific for the option big data analytics, it also contains the course data and statistical modeling. Within the programme students have the choice between three options.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Advanced Master of Artificial Intelligence programme at KU Leuven explores and builds on the fascinating challenges of cognitive processes and models, natural language and perception. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds - including engineering, sciences, economics, management, psychology, and linguistics - in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.
The option Big Data Analytics is intended for graduates in Computer Science and trains them to become specialists in the analysis of Big Data. It instructs the students in Statistics, Machine Learning, Data Mining and Advanced programming techniques for dealing with Big Data. It offers a range of application domains in Information Retrieval, Bio-Informatics, Computer Vision and others.
The understanding of the principles of intelligence, the development of artificial intelligence and its many applications in different areas requires a multi-disciplinary approach. The Advanced Master of Artificial Intelligence programme is internationally and interdisciplinary oriented. It aims at educating students from a wide variety of different backgrounds. A basic introductory part of the programme consists of fundamentals of artificial intelligence and a broadening course that the student selects from either cognitive science, philosophy of mind and artificial intelligence or privacy and big data. Specific for the option big data analytics, it also contains the course data and statistical modeling. Within the programme students have the choice between three options.
Students with a degree obtained at an institution outside the Flemish Community:
Diploma requirements
Master of Science (in Engineering) in Computer Science, Master of Science (in Engineering) in Informatics, Master of Science (in Engineering) in Information and Communication Technology, Master of Arts (specialisation in Linguistics).
We require at least a 4-year university (or equivalent) degree with good study results and experience with computing.
Language requirements
Applicants with a university degree or high school degree earned in Australia, English-speaking Canada, Ireland, New Zealand, United Kingdom or the USA are exempted from this requirement: the degree and transcripts suffice, provided they confirm that the entire study was completed in English.
Additional requirements
In order to be considered for admission, applicants are required to submit a GRE test. Students who obtained a Bachelor’s or a Master’s degree in one of the EEA countries, the UK, or Switzerland are exempted from providing GRE scores.
1 Year
Sep
International
9,493 EUR
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
Master of Artificial Intelligence
KU Leuven, Leuven, Belgium
# 51QS Subject Rankings
12 monthsProgramme duration
9,493 EURTuition Fee/year
Computer Science and Information SystemsMain Subject Area
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Advanced Master of Artificial Intelligence programme at KU Leuven explores and builds on the fascinating challenges of cognitive processes and models, natural language and perception. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds - including engineering, sciences, economics, management, psychology, and linguistics - in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.
The option Big Data Analytics is intended for graduates in Computer Science and trains them to become specialists in the analysis of Big Data. It instructs the students in Statistics, Machine Learning, Data Mining and Advanced programming techniques for dealing with Big Data. It offers a range of application domains in Information Retrieval, Bio-Informatics, Computer Vision and others.
The understanding of the principles of intelligence, the development of artificial intelligence and its many applications in different areas requires a multi-disciplinary approach. The Advanced Master of Artificial Intelligence programme is internationally and interdisciplinary oriented. It aims at educating students from a wide variety of different backgrounds. A basic introductory part of the programme consists of fundamentals of artificial intelligence and a broadening course that the student selects from either cognitive science, philosophy of mind and artificial intelligence or privacy and big data. Specific for the option big data analytics, it also contains the course data and statistical modeling. Within the programme students have the choice between three options.
Programme overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
The Advanced Master of Artificial Intelligence programme at KU Leuven explores and builds on the fascinating challenges of cognitive processes and models, natural language and perception. For many years, it has provided an internationally acclaimed advanced study programme in artificial intelligence. The multidisciplinary programme trains students from a variety of backgrounds - including engineering, sciences, economics, management, psychology, and linguistics - in all areas of knowledge-based technology, cognitive science, and their applications. The one-year programme, taught entirely in English, is the result of a collaboration between many internationally prominent research units from seven different faculties of the university. It allows you to focus on engineering and computer science, cognitive science, or speech and language technology.
The option Big Data Analytics is intended for graduates in Computer Science and trains them to become specialists in the analysis of Big Data. It instructs the students in Statistics, Machine Learning, Data Mining and Advanced programming techniques for dealing with Big Data. It offers a range of application domains in Information Retrieval, Bio-Informatics, Computer Vision and others.
The understanding of the principles of intelligence, the development of artificial intelligence and its many applications in different areas requires a multi-disciplinary approach. The Advanced Master of Artificial Intelligence programme is internationally and interdisciplinary oriented. It aims at educating students from a wide variety of different backgrounds. A basic introductory part of the programme consists of fundamentals of artificial intelligence and a broadening course that the student selects from either cognitive science, philosophy of mind and artificial intelligence or privacy and big data. Specific for the option big data analytics, it also contains the course data and statistical modeling. Within the programme students have the choice between three options.
Brochures
Admission Requirements
Students with a degree obtained at an institution outside the Flemish Community:
Diploma requirements
Master of Science (in Engineering) in Computer Science, Master of Science (in Engineering) in Informatics, Master of Science (in Engineering) in Information and Communication Technology, Master of Arts (specialisation in Linguistics).
We require at least a 4-year university (or equivalent) degree with good study results and experience with computing.
Language requirements
Applicants with a university degree or high school degree earned in Australia, English-speaking Canada, Ireland, New Zealand, United Kingdom or the USA are exempted from this requirement: the degree and transcripts suffice, provided they confirm that the entire study was completed in English.
Additional requirements
In order to be considered for admission, applicants are required to submit a GRE test. Students who obtained a Bachelor’s or a Master’s degree in one of the EEA countries, the UK, or Switzerland are exempted from providing GRE scores.
International
Scholarships
Selecting the right scholarship can be a daunting process. With countless options available, students often find themselves overwhelmed and confused. The decision can be especially stressful for those facing financial constraints or pursuing specific academic or career goals.
To help students navigate this challenging process, we recommend the following articles:
How to get a full scholarship
Looking for a fully-funded scholarship to see you into university? Find out how to boost your chances of getting one.
Scholarships to study abroad
Find scholarships to study abroad with our lists of international scholarships – categorized by country, by subject, and by type of student.
Scholarship Applications: Frequently Asked Questions
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