Artificial Intelligence is a fast-paced and challenging field that is making visible inroads into our everyday life. This Master's programme 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 social simulation for policy management and change of behaviour.
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:
Choosing from a broad range of courses you can tailor the programme to your personal interests within Artificial Intelligence.
As a graduate of the Artificial Intelligence programme, you will have a solid understanding of the logical, philosophical, and cognitive foundations of AI research. You will also have a good overview of the main AI techniques and an in-depth understanding of how to apply these techniques in at least one of the areas within multi-agent systems, reasoning, or cognitive processing. In addition, you will have the skills to carry out AI research in academic or R&D environments and to identify how AI techniques can provide intelligent solutions to IT problems in companies and organisations.
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 programme at KU Leuven explores and builds on these fascinating challenges. 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 AI program aims at instructing and training students on state of the art knowledge and techniques in Artificial Intelligence, with specific focus either on Engineering and Computer Science (ECS), on Speech and Language Technology (SLT) or on Big Data Analytics (BDA), depending on the selected option within the program. It aims at introducing the students to the concepts, methods and tools in the field.
It aims at instructing students on the achievements in a number of advanced application areas and make them familiar with their current research directions. It aims to bring students to a level of knowledge, understanding, skills and experience that are needed to actively conduct basic or applied research on an international level. In particular, it aims to provide students with a critical scientific attitude towards the central themes of A.I.
As a master-after-master program, it is assumed that the students entering this program have already achieved the general skills and attitudes defined for any master program. Nevertheless, it is also within the aims of the program to further strengthen the skills and attitudes, within the specific scientific context that AI offers.
ECS-option: In the ECS option, in addition to the above, the program aims at instilling a problem-solving attitude towards the practice of AI. Upon completion of the program, students should be familiar with the fundamentals of AI, be aware of its reasonable expectations, have practical experience in solving AI-problems and be acquainted with a number of advanced areas within the field.
SLT-option: In the SLT-option, in addition to the general aims, the program aims to provide all necessary background and skills which are required to fully understand and to actively participate in the fast developing multi-disciplinary field of Language and Speech. This includes a thorough understanding of the theories and models that shape the field, as well as practical experience with a variety of technologies that are used and currently developed.
BDA-option: In the BDA-option, in addition to the general aims, the program aims for the same additional goals as the ECS-option, but specialized to Big Data Analytics. In particular, it aims at instilling a problem-solving attitude towards the practice of Big Data Analytics. Upon completion of the program, students should be familiar with the fundamentals of Big Data Analytics, be aware of its reasonable expectations, have practical experience in solving BDA-problems and be acquainted with a number of advanced areas within the AI-subfield of BDA.
With a Master's degree in artificial intelligence you will be welcomed by companies working in:
You will also be qualified to work in banking or provide support for the process industry, biomedicine and bioinformatics, robotics and traffic systems. Some graduates go on to begin a PhD programme.
New for 2018, the LLM in LegalTech is an innovative and topical master’s programme, which explores how technologies such as Artificial Intelligence and Blockchain impact on legal services.
Organisations from both the legal and the tech worlds will be involved in the delivery of the programme, which will offer opportunities to work with artificial intelligence systems; to develop LegalTech apps and solutions; to become comfortable working with Big Data, and to understand the legal and regulatory challenges associated with technology.
Artificial intelligence and related computing technologies are shaping the legal profession at an unprecedented rate. While lawyers must continue to defend the rule of law and to promote access to justice, they must also acquire the skills to embrace new technologies, innovate, and apply "LegalTech" in practice.
What is LegalTech?
Technology is transforming the nature of legal service delivery - from Artificial Intelligence and Blockchain, to online dispute resolution and digital platforms to improve Access to Justice.
Traditional areas of LegalTech such as case management, financial systems and legal research are being streamlined by innovative digital platforms and applications. These will make practices more efficient, more competitive and more relevant in a digital world, making sure that the Law is accessible to everyone.
What are the benefits of the LLM in LegalTech?
You will acquire a range of skills and experiences that will complement your legal knowledge and equip you to drive innovation in legal practice. You will gain insights into how computational thinking can be related to legal processes and will understand how to deploy different technologies to aid legal practice.
What will I study?
You will take required and optional modules over two general topic areas - how AI is applied to the Law (e.g. introduction to theory, techniques, and tools) and how the Law is applied to AI (e.g. legal, regulatory and ethical impacts of automation and information access). You will learn AI concepts and work with AI tools to develop your own LegalTech solutions, gain experience working with “Big” and Small Data, and apply your knowledge in hands-on practical exercises.
Throughout your studies, you will have the opportunity to take part in a number of extra-curricular activities to enhance their understanding of LegalTech. These include:
There are a broad range of traditional and specialist legal career opportunities available.
With a strong emphasis on developing skills and knowledge that can be applied in professional settings, this intensive programme draws on knowledge about language, how it works and how it affects real-life issues.
We were the first in the UK to offer a programme in applied linguistics, so you will benefit from a long-established tradition of teaching in this area, much of which is delivered by world-leading experts.
The programme offers a linguistic perspective on real-world problems of language in use, with relevance to a wide range of professional interests. You will explore how language is used in a variety of social settings, compare language variability with social diversity and examine how knowledge about language as it is actually used can impact on people’s lives.
Note that, unlike other programmes in Applied Linguistics, one topic that we do not concentrate on is teaching pedagogy. If you are more interested in the teaching side of Applied Linguistics, please see:
This programme comprises two semesters of taught courses, followed by a dissertation. Four compulsory core courses provide a solid foundation in the fundamentals of Applied Linguistics, while the optional courses offer you the opportunity to explore your areas of interest.
Optional courses may include:
The programme aims to:
At the end of the programme, you will be able to discuss issues of language description and use the knowledge you have acquired to address real-life problems, such as the teaching of languages and the use of language in specific institutional contexts.
This programme has been designed to help progress your career as a linguist in academia or as a language expert in a variety of industries such as artificial intelligence.
Find out more about scholarships and funding opportunities:
This exciting MRes Computer Science course is designed to give you the opportunity to develop research skills in a computing area that meets your interests and career development needs. It allows you to combine material from any of our taught Masters courses in the computing suite with an extended research project over a one-year period.
Current demands are greater than ever for individuals to attain postgraduate levels of qualification in an increasingly competitive jobs market. As a result, the MRes Computer Science has been designed to meet the needs of students and employers, providing superior qualified graduates to national and international employers.
The MRes is divided into a taught element (60 credit points) and a laboratory-based research project (120 credit points).
This MSc Computer Science course offers the chance to study a range of topics in the computer science area, including principles of system design, software engineering, enterprise computing, computing architecture and applications of artificial intelligence. You will also have the opportunity to undertake an individual project, based on subjects that interest you, as well as research at the University or your industrial experience if you do a placement.
Demand for high-level software engineering skills continues to rise. Employers are finding it increasingly hard to recruit suitably qualified programmers and software technologists and so, with its emphasis on the application of the latest research ideas, the course will give you the skills to enjoy a highly rewarding career in the cutting-edge computing industry.
The MSc is divided into 60 credit point taught modules and the research project is worth 60 credit points.
Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.
This technical MRes Electronic Systems Masters course will develop your research skills in electronic systems, enriching your prior learning and giving you the tools to succeed in your chosen specialism. The structure of this course allows you to choose modules and combine material from any of our taught master's courses in the School of Science and Technology and deliver an extended research project over a one-year period.
You will undertake a Research Methods module at the beginning of this course, which is designed to develop knowledge, skills and experience that will provide you with a firm foundation for your main research project. You then have the option to choose two further modules in order to develop specific technical knowledge relating to your research project. These can be selected from the full range of modules delivered across our computing and technology taught Master's courses.
Visit us on campus throughout the year, find and register for our next open event on http://www.ntu.ac.uk/pgevents.
This unique one-year Master’s programme has been designed for professionals looking to accelerate their career, innovate within their organisation, or start a new business venture during this time of great change.
Future proof your career or business with this Master’s programme from Tech Futures Lab.
In this programme you will explore the critical technologies and approaches that are redefining the new world of business with support from industry experts and the Tech Futures Lab team.
In the first 12-week immersion phase, you'll gain a greater understanding of exponential technologies such as artificial intelligence (A.I.), data science, machine learning, cybersecurity, blockchain and robotics, as well as new approaches to business including the collaborative economy, ideation, design thinking,and understanding stakeholders and customer journey.
With this new knowledge, applied project work, research and collaborative workshops, you'll develop a project plan that lays out the development and/or implementation of a new idea, product or service.
In the following 38-week project phase, you'll develop and implement your project plan. You'll draw on new knowledge of emerging and disruptive technologies, utilise strategies of tech-enabled businesses, and implement your project.
Application period/deadline: March 14 - 28, 2018
• Research-oriented degree provides an exciting opportunity to study in a leading-edge research environment
• The studies combine both theoretical and practical approach
• Specializations in Applied Computing, Artificial Intelligence, and Computer Egineering
The International Master’s Degree Programme in Computer Science and Engineering (CSE) is a two-year research-oriented programme concentrating on intelligent digital solutions to real world problems. During the past decades, Computer Science and Engineering has had a significant impact into our daily lives. The development continues and soon computers will not be used as separate devices anymore. Instead they will blend into our living environments and offer us rich sets of services through natural and intuitive user interfaces. The graduates from Computer Science and Engineering will play a key role in this development.
The two-year programme has three specialisation options:
• Applied Computing
• Artificial Intelligence
• Computer Engineering
Applied Computing focuses on the next generation of interactive systems that place humans at the focus of the technological development. Adopting a multidisciplinary real-world approach, students have to spend a substantial amount of time working in group projects to develop a variety of systems ranging from interactive online services to games and mobile applications, with a strong focus on innovation and design.
Artificial Intelligence focuses in various fields of AI, such as machine learning, machine vision, and data mining. This specialisation provides students with a solid theoretical understanding and practical skills on processing and analyzing digital data and the ability to create intelligent solutions to real world problems with modern AI techniques.
Computer Engineering focuses on both hardware and software aspects of computing with emphasis on embedded system development. In this specialisation, students also study signal processing and its applications, and work with projects on modern signal processors and embedded computers. The specialisation gives the students a good basis to work with Internet of Things (IoT) applications.
In addition to the core specialization options, students can take optional courses to widen their specialization expertise into:
• Biomedical signal analysis
• Machine learning
• Machine vision
• Signal processing
• Embedded systems
• Ubiquitous computing
This Master’s programme is provided by the Faculty of Information Technology and Electrical Engineering, and students are strongly encouraged to work closely with research groups in the faculty that are international leaders in their fields. The Center for Machine Vision and Signal Analysis (CMVS) is renowned world-wide for its 35 years of expertise in computer vision research. The Center for Ubiquitous Computing (UBICOMP) has created a unique research environment for Ubiquitous Computing including multitouch wall-sized displays, smartphone sensing middleware and sensor networks. Biomimetics and Intelligent Systems Group (BISG) is a fusion of expertise from the fields of computer science and biology. During the studies the research groups provide students trainee and master’s thesis positions, with the possibility to continue as a doctoral student, and even as a post-doctoral researcher.
The programme will provide the graduates with sufficient skills to work in a wide variety of positions offered by research institutes and companies mainly operating in the field of information and communications technology (ICT). The graduates are most likely to be employed in research and development related positions, but also management positions and entrepreneurship fit into the profile.
Possible titles include:
• Research Scientist
• Software Engineer
• System Designer
• Project Manager
Students applying for the programme must possess an applicable B.Sc. degree in computer science, electrical engineering or relevant fields such as physics or applied mathematics.
At the Centre for Intelligent Systems and their Applications (CISA) we enable computer systems to reproduce or complement human abilities, work with people, and support collaboration between humans. We conduct world-leading research in the foundations of Artificial Intelligence (knowledge representation and reasoning, emergence of meaning, theory and ontology change, creativity, mathematical proof) and in intelligent collaborative systems (multiagent systems, social computation, scientific collaboration platforms, web semantics and linked data).
Our research methods are inspired by developing formal models of knowledge, reasoning, and interaction that can be used to understand and automate aspects of human intelligence, but are also understandable and usable to the human designers and users of AI systems.
To achieve this, we combine theoretical research into computational models, architectures, and algorithms with a strong element of applied research. This has led to a strong track record in using our methods to address real-world problems in healthcare, scientific collaboration, social computing, emergency systems, transportation, engineering, aerospace and others.
You'll find a wide range of research areas within CISA conducted in the four research groups the Institute currently hosts:
CISA includes one of the most innovative collaborations between research and business - our Artificial Intelligence Applications Institute (AIAI). Through its resources and the engagement of CISA staff and students in consultancy, training and joint projects, we help companies and government agencies to apply newly researched techniques.
You will carry out research work within a research group under the guidance of a supervisor. You may also attend taught courses that are relevant to your research topic, as prescribed by your supervisor. You will be expected to attend seminars and meetings of relevant research groups. Periodic reviews of progress are conducted to assist with research planning.
A programme of transferable skills courses facilitates broader professional development in a wide range of topics, from writing and presentation skills to entrepreneurship and career strategies.
The School of Informatics holds a Silver Athena SWAN award, in recognition of our commitment to advance the representation of women in science, mathematics, engineering and technology. The School is deploying a range of strategies to help female staff and students of all stages in their careers and we seek regular feedback from our research community on our performance.
The award-winning Informatics Forum is an international research facility for computing and related areas. It houses more than 400 research staff and students, providing office, meeting and social spaces.
It also contains two robotics labs, an instrumented multimedia room, eye-tracking and motion capture systems, and a full recording studio amongst other research facilities. Its spectacular atrium plays host to many events, from industry showcases and student hackathons to major research conferences.
Nearby teaching facilities include computer and teaching labs with more than 250 machines, 24-hour access to IT facilities for students, and comprehensive support provided by dedicated computing staff.
Among our entrepreneurial initiatives is Informatics Ventures, set up in 2008 to support globally ambitious software companies in Scotland and nurture a technology cluster to rival Boston, Pittsburgh, Kyoto and Silicon Valley.
While your research studies are a perfect route to a career in academia, your degree could also take you into the commercial world of applied AI and collaborative systems.
Software developers using AI technologies are among those who rely on the insights of our research. NASA and animation company Pixar are just two of the organisations that have recently employed our graduates.