As intelligent autonomous robots increasingly become part of our lives, the field of human-robot interaction seeks to understand and improve all aspects of interactions between humans and robots.

The Departments of Computer Science, Electrical and Computer Engineering and Mechanical Engineering offer an M.S. degree in Human-Robot Interaction (HRI). Students in each department share a set of five required core courses, but other requirements vary.

Investigating the true nature of intelligence is one of today’s most fascinating research avenues. Advances in the study of cognitive processes and models, natural language and perception, human knowledge, representation, and reasoning attest to this. One of the scientific community’s key research objectives is the development of an intelligent robot. The Master of Artificial Intelligence explores and builds on this challenge, will you?

The Master of Artificial Intelligence program at KU Leuven explores and builds on these fascinating challenges. For many years, it has provided an internationally acclaimed advanced study program in artificial intelligence. The multidisciplinary program 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 program 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.... [-]

Faculty of Mathematics and Information Science offers the following programs conducted in English:

1.5-year graduate program in the areas of:

The graduate program covers modern mathematics and tackles the latest trends in computer science. Studying is mostly individual. Each student must choose a scientific advisor from among the faculty teaching and research staff according to their scientific interests. Last semester is devoted mainly to the preparation of the M.Sc. thesis, which is usually highly related to the on-going faculty research.... [-]

Introduction In the Master’s programme Artificial Intelligence (AI) you will learn how to advance the study of brain and cognition by adopting typical AI tools, such as computer simulation, brain-computer interfacing and robotic design.

Programme

Depending on your interest, you can specialise in one of the following domains: Interactive Agents and Neural Computing.

Unique character

This programme has a unique character, focusing on connections between artificial intelligence and cognitive neuroscience. Understanding how the brain works and how it supports intelligent cognitive behaviour is essential for effective agent design. In turn, agent design can lead to hypotheses about how intelligent behaviour is realised by humans.... [-]

Master’s programme in Artificial Intelligence

The Master of Artificial Intelligence (AI) is a two-year advanced programme organized by the Department of Knowledge Engineering. The focus of this programme is on the understanding, design and creation of intelligent systems in both software (e.g., computer games) and hardware (e.g., robotics). The term “Artificial Intelligence” dates back to 1956 when John McCarthy defined it as “the science and engineering of making intelligent machines”. Even though nowadays we are still far from building machines that can pass the famous Turing test (A. Turing, Mind, 59 (236), 1950 - a test to determine whether a machine shows human intelligence), Artificial Intelligence has become a very active domain in both academia and industry. It has achieved to build computer programmes and robots that learn from experience, recognize patterns in vast amounts of data, and reason strategically in complex decision-making situations. Artificial Intelligence is, therefore, an interdisciplinary field where domains such as Computer Science, Mathematics, Psychology, Biology, Philosophy and Economics meet.... [-]

Artificial Intelligence (AI) is one of the most popular areas in computer science and engineering. AI deals with intelligent behavior, learning, and adaptation in machines, robots, and body-less computer programs. AI is everywhere: search engines use it to improve answers to queries, to recognize speech, to translate languages, email programs use it to filter spam, banks use it to predict exchange rates and stock markets, doctors use it to recognize tumors, robots use it to localize themselves and obstacles, autonomous cars use it to drive, video games use it to enhance the player's experience, adaptive telescopes use it to improve image quality, smartphones use it to recognize objects/faces/gestures/voices/music, etc etc.... [-]

Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life. Natural language processing of the type used in smartphones or Google Translate has become commonplace. Characters in virtual worlds are becoming smarter, leading to more natural, interesting, and useful experiences in computer games and simulations. In California, self-driving cars with sensors and GPS are tested that can autonomously drive you to your destination. Research shows that we can enhance human cognitive functions by directly linking the brain to a computer. IBM’s Watson system, which defeated the best human players in the popular American TV quiz Jeopardy, shows that large-scale knowledge-based systems can have a practical use. The Master’s in Artificial Intelligence offers you an integrative and cutting-edge approach to the field from the viewpoints of Informatics, Logic, Cognition, Psychology, Philosophy, and Linguistics. Students can choose from three tracks:... [-]

Robotics has for long been the key to efficient manufacturing. However, current robots mostly perform rigid tasks in a production pipeline with no ability to operate in changing environments. Next-generation autonomous robots operate among humans and require a completely new set of skills.

Not only do robots need to understand their surroundings, but they should also be able to cooperate with humans and even predict human actions. Applicants should hold a Bachelor of Science degree in computer science, mathematics, automation engineering, signal processing, or a related discipline.

Students should be familiar with the basics of programming, digital logic and processors. The recommended prior learning also includes familiarity with machine learning and control engineering.... [-]

Studies in Human-Computer Interaction (HCI) prepare future experts and leaders who use advanced methodologies to design and develop information technology for the benefit of people.

Advances in hardware, machine learning, robotics, software engineering, and networks have opened remarkable new possibilities in information technology. Studies in Human-Computer Interaction (HCI) prepare future experts and leaders who use advanced methodologies to design and develop information technology for the benefit of people.

The programme approaches human-computer interaction from the viewpoints of engineering, computer science, and applied sciences. Students will learn a variety of powerful engineering and computer science methods to approach challenges in interactive technologies systematically, such as in concept creation, user interface design, machine intelligence, mechanical and electrical design, and data analysis. They learn essential human and social factors and how to integrate them in problem-solving and models. Students will also familiarize with practical interdisciplinary development and design processes and obtain technical skills to experiment and prototype innovative interactions. The programme also develops meta-cognitive skills to drive visions of interactive technology, critically evaluate different approaches to interaction, and to develop competences further by following advanced research literature.... [-]

Machine learning is one of the strong points of Aalto University. This solid education in modern computational data analysis gives you excellent opportunities for a career in research institutions or in the private sector in the rapidly developing fields of machine learning, data science, and artificial intelligence.

The methods of machine learning and data mining are applicable and needed in a wide variety of fields ranging from process industry to data science. Recent spearhead application areas include

What is intelligent behaviour? How can computers recognize faces and objects? In this programme, you will learn how to design and implement intelligent systems.

The Master in Artificial Intelligence revolves around three core topics: autonomous perceptive systems, cognitive robotics and multi-agent systems.

Autonomous Systems

A robot taking samples and collecting information on the moon is an example of an autonomous system. It operates and carries out missions independently. Regardless of its surroundings, it responds with a certain intelligence. While traditional AI focuses on cognition and reasoning as isolated abilities, we strongly believe in perception as an active behaviour, which is integrated into general cognition.... [-]

How can we model human task performance? How do our brains combine visual and auditory information? What is the ideal interface for a tired air traffic controller?

The Master's degree programme in Human-Machine Communication (HMC) focuses on Cognitive Science and its applications. By knowing more about cognition you can, for example, improve the communication between humans and complex computer systems, use language and speech technology or develop simulation models of users. HMC provides you with insights into human cognition and teaches you to use this knowledge in applied settings, such as tutoring systems, speech technology and human-computer interaction.

MSc Artificial Intelligence

What is intelligent behaviour? How can robots communicate with each other? How to design a system that negotiates? In this programme, you will learn how to design and implement intelligent systems. Humans and animals are important sources of inspiration in this area.

The Master’s programme Artificial Intelligence (AI) focuses on the development of intelligent systems. The core topics in this master are autonomous perceptive systems, cognitive robotics and multi-agent systems.

Systems that can operate and carry out missions independently

Autonomous systems are systems that can operate and carry out missions independently, for example, robots driving around on the moon taking samples and collecting information. Even in unpredictable surroundings these robots respond with a certain intelligence and take decisions about what to do. At the University of Groningen, we concentrate on autonomous perceptive systems, i.e. robots that can find and read a sign in an unknown environment or systems that detect verbal aggression from the complex sounds of busy streets. While traditional AI focuses on cognition and reasoning as isolated abilities, we strongly believe in perception as an active behaviour which is seamlessly integrated into general cognition.... [-]

The Online Master of Science in Cybersecurity teaches students to proactively address ever-changing attack and infiltration techniques. Students gain advanced knowledge and hands-on experience in cyber intelligence, critical infrastructures, and investigative principles as they relate to cybercrime, including:

The Department of Electrical and Electronic Engineering (DIEE) carries out world-class research in Electrical, Electronic, and Computer Engineering. The PRA Lab within the DIEE is world-wide known for its leading research in Cybersecurity and Artificial Intelligence.

High value for money. You will get a unique master degree compliant with the Bologna process for low tuition price.

Same jobs and salaries opportunities as the best graduates in Europe, but with a much lower debt-to-income ratio.