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.... [-]

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.... [-]

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.... [-]

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: Intelligent Technology and Cognitive 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.... [-]

Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life. This Master's program focuses on the theoretical symbolic foundations within Artificial intelligence. We examine the semantics of natural language and of reasoning and argumentation. Moreover, we also look at the foundations of autonomy and collaboration between distributed software systems. These are applied for instance in virtual characters in serious games, in logistic applications like train schedules and in autonomous cars. Other application areas are a social simulation for policy management and change of behavior.

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.... [-]

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.... [-]

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:

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.... [-]

This new Master's programme focuses on the development of intelligent software products and services. Specifically, AI, machine learning, and data science are covered in detail. Applications include, but are not limited to, internet-of-things, data analytics, and smart cities.

The Masters of Science in Engineering in Artificial Intelligence and Robotics (LM-28224) aims to provide students with the knowledge and ability to design and implement artificial intelligence and robotic systems, as well as the interdisciplinary skills that are essential to managing complex projects and their impact on the society.

Computer Engineering is among the fastest growing fields and presents unlimited opportunities in nearly every field. Students will learn to:

Our MSc in Artificial Intelligence aims to impart the understanding and skills to develop intelligent software applications, such as those involving evolutionary computation and learning.

Students will develop skills in specialist areas with clear applications in industry, including data mining, pattern recognition and machine learning. The MSc project in some cases can be carried out in collaboration with an outside industrial or academic organisation.

This programme is accredited by the BCS, the chartered institute of IT.

Full-time students take 4 courses each semester and must normally take all core courses.

Artificial Intelligence (AI) is a field that develops intelligent algorithms and machines. Examples include self-driving cars, smart cameras, surveillance systems, robotic manufacturing, machine translations, internet searches, and product recommendations. Modern AI often involves self-learning systems that are trained on massive amounts of data ("Big Data"), and/or interacting intelligent agents that perform distributed reasoning and computation. AI connects sensors with algorithms and human-computer interfaces and extends itself into large networks of devices. AI has found numerous applications in industry, government and society, and is one of the driving forces of today's economy.