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What is the true nature of intelligence? Is it simply learning processes, cognition models, natural language representation and reasoning? Or is it more? The Master of Artificial Intelligence programme trains a wide variety of students in all areas of knowledge-based technology and the wider application of that technology across multiple fields, including in the development of intelligent robots.
About this programme
The 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 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.
Career perspectives
With a Master of Artificial Intelligence degree, you will be welcomed in companies in the areas of information technology, data-mining, speech and language technology, intelligent systems, diagnosis and quality control, fraud detection, biometric systems. You can also work in the banking area, or give support in the areas of process industry, biomedicine and bioinformatics, robotics, traffic systems. Furthermore this degree offers opportunities to start a PhD programme.
What is the true nature of intelligence? Is it simply learning processes, cognition models, natural language representation and reasoning? Or is it more? The Master of Artificial Intelligence programme trains a wide variety of students in all areas of knowledge-based technology and the wider application of that technology across multiple fields, including in the development of intelligent robots.
About this programme
The 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 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.
Career perspectives
With a Master of Artificial Intelligence degree, you will be welcomed in companies in the areas of information technology, data-mining, speech and language technology, intelligent systems, diagnosis and quality control, fraud detection, biometric systems. You can also work in the banking area, or give support in the areas of process industry, biomedicine and bioinformatics, robotics, traffic systems. Furthermore this degree offers opportunities to start a PhD programme.
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.
For the most recent – and only official – information on the admission requirements, please check our webpage.
Student profile
As a student you should be able to formulate research goals, determine trajectories that achieve such goals, collect and select information relevant to achieve research goals and interpret collected information on the basis of a critical research attitude. When selecting the ECS option you are expected to be familiar with basic undergraduate level mathematics. When selecting the BDA option, you are expected to already have a degree in Computer Science.
When succeeding in the programme you should be able to understand the concepts, methods, and applicability of fundamentals of artificial intelligence and a broadening view on a selection of either cognitive science, philosophy of mind and artificial intelligence or privacy and big data. You will become familiar with AI programming languages and several advanced areas in AI including current research directions.
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
Master of Artificial Intelligence
KU Leuven Leuven Campus, Leuven, Belgium
# 54QS Subject Rankings
12 monthsProgram duration
YesScholarships
Computer Science and Information SystemsMain Subject Area
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Master of Artificial Intelligence
What is the true nature of intelligence? Is it simply learning processes, cognition models, natural language representation and reasoning? Or is it more? The Master of Artificial Intelligence programme trains a wide variety of students in all areas of knowledge-based technology and the wider application of that technology across multiple fields, including in the development of intelligent robots.
About this programme
The 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 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.
Career perspectives
With a Master of Artificial Intelligence degree, you will be welcomed in companies in the areas of information technology, data-mining, speech and language technology, intelligent systems, diagnosis and quality control, fraud detection, biometric systems. You can also work in the banking area, or give support in the areas of process industry, biomedicine and bioinformatics, robotics, traffic systems. Furthermore this degree offers opportunities to start a PhD programme.
Program overview
Main Subject
Computer Science and Information Systems
Degree
MSc
Study Level
Masters
Study Mode
On Campus
Master of Artificial Intelligence
What is the true nature of intelligence? Is it simply learning processes, cognition models, natural language representation and reasoning? Or is it more? The Master of Artificial Intelligence programme trains a wide variety of students in all areas of knowledge-based technology and the wider application of that technology across multiple fields, including in the development of intelligent robots.
About this programme
The 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 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.
Career perspectives
With a Master of Artificial Intelligence degree, you will be welcomed in companies in the areas of information technology, data-mining, speech and language technology, intelligent systems, diagnosis and quality control, fraud detection, biometric systems. You can also work in the banking area, or give support in the areas of process industry, biomedicine and bioinformatics, robotics, traffic systems. Furthermore this degree offers opportunities to start a PhD programme.
Admission requirements
Exam Scores
Important Dates
Admission criteria
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.
For the most recent – and only official – information on the admission requirements, please check our webpage.
Student profile
As a student you should be able to formulate research goals, determine trajectories that achieve such goals, collect and select information relevant to achieve research goals and interpret collected information on the basis of a critical research attitude. When selecting the ECS option you are expected to be familiar with basic undergraduate level mathematics. When selecting the BDA option, you are expected to already have a degree in Computer Science.
When succeeding in the programme you should be able to understand the concepts, methods, and applicability of fundamentals of artificial intelligence and a broadening view on a selection of either cognitive science, philosophy of mind and artificial intelligence or privacy and big data. You will become familiar with AI programming languages and several advanced areas in AI including current research directions.
Tuition fee and scholarships
Scholarships
One of the important factors when considering a master's degree is the cost of study. Luckily, there are many options available to help students fund their master's programme. Download your copy of the Scholarship Guide to find out which scholarships from around the world could be available to you, and how to apply for them.
In this guide you will find:
Where to look for scholarship opportunities
How to apply to scholarships relevant to you
A list of available scholarships around the world
A scholarship application checklist
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