Top Master's Degrees in Artificial Intelligence in Europe 2019
A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.
Artificial intelligence is far more than the media portrayal of this subject; it is the leading edge of software solutions. This field of computer science is useful for data managers, engineers, researchers and machine learning developers.
Masters Program in Artificial Intelligence in Europe
In an increasingly competitive world where more and more data is becoming available from web documents, digital media, financial markets, and wireless sensors, there is a
In an increasingly competitive world where more and more data is becoming available from web documents, digital media, financial markets, and wireless sensors, there is a great need for new intelligent systems that can analyze the huge amounts of data and make the right decisions.
These intelligent systems can analyze the stock markets and make robust predictions, control and optimize factory productions in an uncertain environment, improve transportation safety, improve the quality of life of the elderly or entertain the children. IEU’s 2-year Master programme on Intelligent Engineering Systems with Thesis is composed of three tracks: Intelligent Computing Systems, Intelligent Software Systems, and Intelligent Production Systems. The Master programme offers to students a wide range of courses that provide a solid theoretical foundation, a set of practical tools and projects that allow the understanding and the design of intelligent systems and services that fulfill the needs for a dynamic and ever-changing industry and offer exciting opportunities for research....
This master's degree aims to provide students with professional training in computer engineering, telematic engineering and related fields that specialise in Computer Sec
This master's degree aims to provide students with professional training in computer engineering, telematic engineering and related fields that specialise in Computer Security and Artificial Intelligence. Specifically, the master's degree:
provides students with the skills to use advanced ICT for designing and implementing safe intelligent systems.
provides students with the skills to use advanced ICT to ensure the safety of information in applications, services and ICT systems and the privacy of their users.
provides students with the skills to lead, manage and carry out ICT systems projects based on Artificial Intelligence.
provides students with the skills to innovate and conduct research in the field of Computer Security and Artificial Intelligence.
Center: IUSistemas Intelligent and Numerical Applications. Qualification: Master in Intelligent Systems and Numerical Applications in Engineering. Type: Master. Branch: E
Master in Intelligent Systems and Numerical Applications in Engineering
Center: IUSistemas Intelligent and Numerical Applications
Qualification: Master in Intelligent Systems and Numerical Applications in Engineering
Branch: Engineering and Architecture
ECTS Credit Hours: 25
Degree of presence: 40%
Total credits: 60
INTRODUCTION TO ADVANCED TECHNIQUES IN ENGINEERING Compulsory
Mandatory SMART COMPUTING PARADIGMS
DISCRETE EVENT SIMULATION, OPTIMIZATION AND RELIABILITY OF COMPLEX SYSTEMS Compulsory
Methodological aspects of R & D ENGINEERING AND DESIGN OF EXPERIMENTS Compulsory
PRINCIPLES AND TOOLS ...
The training provided by the master is framed in the field of intelligent systems involving processes of perception, learning and automatic decision, robotic manipulation
The training provided by the master is framed in the field of intelligent systems involving processes of perception, learning and automatic decision, robotic manipulation, intelligent robotics and service, storage and processing of data, contextual information, big data, intelligent analysis information, knowledge engineering, visualization and interactive environments. Studies structured knowledge and disciplines that define a professional profile with two possible pathways: service robotics or advanced interaction and knowledge management.
Coordination: Begoña Martínez Salvador. Department of Engineering and Computer Science. UJI.
Number of credits: 60 ECTS credits
To teach the new paradigm of cognitive computing, the M.Sc. Program in Cognitive Systems brings together two main scientific areas: Cognitive Psychology, and Artificial I
Joint degree by the Open University of Cyprus, School of Pure and Applied Sciences and the University of Cyprus, Department of Psychology and Department of Computer Science. Since the inception of the computing paradigm, the prevalent metaphor for a computer has been that of a multi-purpose tool, as exemplified by the use of “command lines” and “desktops” at the interface between humans and computers. The unparalleled prevalence of computing-enabled devices in our everyday lives and the widespread access to information over the Web suggests a more apt metaphor for a modern computer, that of an assistant. Humans no longer use, but rather collaborate with their devices to solve a cognitive task, with each party learning and adapting to the capabilities of the other. Communication and decision-making happen at a level that is transparent to, and cognitively-compatible with, human abilities and limitations. One no longer speaks of human-computer interaction, but of human-computer symbiosis. To teach the new paradigm of cognitive computing, the M.Sc. Program in Cognitive Systems brings together two main scientific areas: Cognitive Psychology, and Artificial Intelligence in Computer Science. Aiming, on the one hand, for the prospective students to understand the basis for human cognition, the Program is strongly influenced by Cognitive Psychology and includes learning modules that explore the fundamentals of perception, learning, mental representation, and reasoning in humans. Aiming, on the other hand, for the prospective students to be able to design cognitive systems, the Program places its emphasis on the investigation of computational methods and tools...
For mining information from very large repositories of text, you need to know what you are looking for and how to find it. The Master’s programme Text Mining AI trains ev
For mining information from very large repositories of text, you need to know what you are looking for and how to find it. The Master’s programme Text Mining AI trains everyone with a Bachelor’s and or Master’s degree how to use text mining by applying Artificial Intelligence (AI) techniques. You will learn what the possibilities and limitations are, and how to reflect on the outcomes and the cross-disciplinary aspects.
What is Text Mining AI?
Did you ever wonder why there is such a need for finding information in a text by using Artificial Intelligence techniques? Scientists and decision makers are very much in need of the information that must be somewhere in textual big data. Some examples:...
As a Master's student, you will learn to conduct independent research in the field of artificial intelligence (AI). You will explore knowledge acquisition and modeling, m
Master in Artificial Intelligence
As a Master's student, you will learn to conduct independent research in the field of artificial intelligence (AI). You will explore knowledge acquisition and modeling, multi-agent systems, and techniques to make internet searches more efficient and effective. Artificial intelligence is all about smart environments that support humans in a very dedicated way. Because intelligence is about more than just logical thought, you will draw upon knowledge from across the academic spectrum; from philosophy, logic, and psychology, to information science, linguistic analysis and mathematics.
The program in a nutshell
The Master’s program in Artificial Intelligence lasts two years and consists of 120 ECTS credits. Whichever specialization you choose, you complete your program by writing a thesis.You can choose between two programs:...
The scientific discipline of Machine Learning focuses on developing algorithms to find patterns or make predictions from empirical data. The discipline is increasingly us
The scientific discipline of Machine Learning focuses on developing algorithms to find patterns or make predictions from empirical data. The discipline is increasingly used by many professions and industries (for example manufacturing, retail, medicine, finance, robotics, telecommunications), as it can help create order in large amounts of digital data to solve difficult problems such as understanding human behaviour and providing efficient resource allocation. Demand for graduates with substantive expertise in machine learning far exceeds supply. The programme here at KTH equips you for a career in industry (a start-up or a traditional well-established company) and will also prepare you for further studies at PhD-level....
The era of digitalization has changed and is changing the way we produce, communicate and even the way cities work. The terms Artificial Intelligence and Machine Learning
Best Masters Degrees in Artificial Intelligence in Europe 2019.
The era of digitalization has changed and is changing the way we produce, communicate and even the way cities work. The terms Artificial Intelligence and Machine Learning are increasingly present in sectors as diverse as the technology sector, the health sector or the financial sector.
Artificial Intelligence opens the door to efficiency, accuracy and risk reduction. In fact, it is estimated that the artificial intelligence sector will transform the labor market by creating more than 2.3 million new job opportunities related to this field. This will imply that workers in the digital age must adapt to new challenges such as responding to the intelligent behavior of machines, being able to understand their language and communicating with networks of related devices....
The Post Master's degree in Communications for ITS offers the necessary knowledge required by engineers and managers to design Connected Cars/Connected Mobility applicati
The Post Master's degree in Communications for ITS offers the necessary knowledge required by engineers and managers to design Connected Cars/Connected Mobility applications to fully apprehend the innovations and unique opportunities of the Vehicular Communications industry.
Context - Connected Cars and ITS
Intelligent Transportation Systems (ITS) promise to be one of the most dynamic and innovative specialization fields with a large expected industrial and business growth over the next decade. ITS aims at adding information and communication technologies to transportation infrastructures and vehicles in order to allow public agencies and transportation companies to improve:
traffic safety by reducing accidents.
traffic efficiency by regulating and better distributing the traffic load, or smoothing tolling station congestions.
the carbon footprint towards green driving and logistics, or deploying fully electric vehicles.
The Internet of Things (IoT) represents a new stage in the digital revolution, fully contributing to the construction of a digital society. Several sectors of the digital
The Internet of Things (IoT) represents a new stage in the digital revolution, fully contributing to the construction of a digital society. Several sectors of the digital society use or will use the internet of objects to improve deployment, exploitation and industrialization procedures. These include intelligent transport, smart grids, smart city, industry 4.0, and so on. The issues concerning the mastery of the technologies and processes around the internet of objects are enormous and require a very high level of expertise with cutting-edge skills in multidisciplinary areas.
Design tools for processing and analyzing large amounts of data from sensors;
Design and develop IoT applications and services adapted to industrial needs
Understand and design communication mechanisms adapted to the constraints of the sensors (energy consumption, lack of computing capacities)
Acquire dual competences technical courses in advanced fields (data exploitation, software development, communication networks in constrained environments, Machine Learning, sensor security) associated with courses in Innovation, Project Management, Entrepreneurship, etc.
The two-year master in artificial intelligence provides solid competence and expertise in the founding areas and innovative applications of artificial intelligence.
The two-year master in artificial intelligence provides solid competence and expertise in the founding areas and innovative applications of artificial intelligence. The programme adopts a broad-spectrum, interdisciplinary approach, addressing a variety of topics in artificial intelligence, such as machine learning, automated reasoning, artificial vision, natural language processing, data science, optimization, and decision support systems, while also offering perspectives in cognitive neurosciences and in ethical and social issues. Students will acquire soft skills which allow them to interact professionally with industrial stakeholders and researchers.
6 reasons to enrol on the degree programme
To join one of the most innovative international Master programmes entirely devoted to Artificial Intelligence.
To build the skills needed for leading innovation in many regional and national industries.
To kick-start your professional career with one of the most sought after academic degrees worldwide.
To immerse yourself in the wonderful science and technology of Artificial Intelligence.
To unlock your creativity and write software that sees, thinks and speaks like you (almost).
To unleash your creativity and design computer systems that see, think and speak like you - almost.
Solvay Brussels School of Economics and Management, Université Libre de Bruxelles
Rapid advances in robotics, algorithms, big data and artificial intelligence are beginning to disrupt entire industries, and technology is threatening to replace millions
Rapid advances in robotics, algorithms, big data and artificial intelligence are beginning to disrupt entire industries, and technology is threatening to replace millions of jobs.
Companies are investing in becoming intelligent businesses. Markets are shifting, business functions (operations, marketing, finance, IT, HR) are transforming, and traditional business models no longer work to keep a competitive advantage. Classical ways of working need to be disrupted and companies need to transform their business into the digital businesses of tomorrow.
The new jobs enabled by digital technologies require different skills. Some of these skills are technical, such as software development, web management, data analysis, process, and complex project management....
This new Master curriculum strongly focuses on Artificial Intelligence, including statistical learning and applications to data science. It also covers the complementary
Master in Artificial Intelligence
At a glance
Diploma: Master’s Degree
Type: Industry-oriented degree
Number of ECTS credits: 140
Start: September 2019
Duration: 2 years
Tuition Fees: €15,000/year
This new Master curriculum strongly focuses on Artificial Intelligence, including statistical learning and applications to data science. It also covers the complementary field of advanced Visual Computing, including 3D computer graphics, virtual and augmented reality, multimodal interaction, computer vision, robotics, and 3D Fabrication, which either make use or lead to the development of novel AI methods. This curriculum in Artificial Intelligence and Visual Computing is therefore at the heart of digital sciences and of its most promising, recent applications....
The Artificial Intelligence and Distributed Computing Master's Program taught in English aims to offer competences in designing intelligent systems with application in va
The Faculty of Mathematics and Computer Science offers study programs in mathematics and informatics for around 1200 students.
The Department of Computer Science offers BSc study programs in Informatics (in Romanian and in English) and Applied Informatics (in Romanian), MSc study programs in Artificial Intelligence and Distributed Computing (in Romanian and in English), Software Engineering (in Romanian) and Applied Informatics in Science, Technology and Economics (in Romanian), PhD programs in Cloud Computing, High Performance Computing, Artificial Intelligence, Automated Reasoning and Theoretical Computer Science which are also the main research directions of the department members (for details see http://research.info.uvt.ro)....