Master Degree in Artificial Intelligence in Europe

Find Masters Programs in Artificial Intelligence in Europe 2018/2019

A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.

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.

There are more than four thousand higher education organizations in Europe, from leading research institutions to small, teaching-focused universities. Europe itself is not as much different than other continents, reaching from the Arctic Circle to the coast of Africa.

View all Master Programs in Artificial Intelligence in Europe 2018/2019

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Master in Language Technology

University of Gothenburg: Faculty of Arts
Campus Full time 2 years September 2018 Sweden Gothenburg

Master in Language Technology (MLT) is a program for students who want to make computers use and understand human language. It will give students a hands-on practical training based on well-grounded theory, enabling them to pursue a specialist career in the area of language technology. [+]

Master in Language Technology 


Master in Language Technology (MLT) is a program for students who want to make computers use and understand human language. It will give students a hands-on practical training based on well-grounded theory, enabling them to pursue a specialist career in the area of language technology.



The program is run jointly by Humanities and Information Technology Faculties at University of Gothenburg, and Computer Science at Chalmers University of Technology. Students will also get access to the Centre for Language Technology, an interdisciplinary center where ideas and projects become reality.



Language technology research and teaching in Gothenburg are characterized by a focus on the contribution of theoretical and rule-based approaches appropriately combined with statistical techniques. Students, therefore, receive instruction in linguistic theory as applied to language technology as well as modern approaches to language technology.

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Graduate Degree in Artificial Intelligence & Advanced Visual Computing

École Polytechnique
Campus Full time 2 years September 2018 France Paris

At the edge between computer science and applied mathematics, Artificial Intelligence (AI) is a constantly growing field which recent advances are highly impressive. [+]

Overview

At the edge between computer science and applied mathematics, Artificial Intelligence (AI) is a constantly growing field which recent advances are highly impressive. Its goal is to create intelligent agents or systems capable of operating on their own to achieve difficult goals, such as decision-making or creation tasks. This can be done using the modeling of knowledge and of reasoning mechanisms and/or by relying on statistical learning (from Bayesian models to Deep Learning) where the training data is either collected at once or on the fly. Besides developing these methods, competitive research on their reliability is of primary interest.

Combined with Visual Computing techniques, a part of computer science which studies the processing and simulation of visual information in all its forms (from images and videos to 3D virtual worlds), Artificial Intelligence leads to strong societal impact applications, as for instance:... [-]


Master in Artificial Intelligence and Distributed Computing

Universitatea De Vest Din Timisoara
Campus Full time 2 years September 2018 Romania Timișoara

The Artificial Intelligence and Distributed Computing Master's Program taught in English aims to offer competences in designing intelligent systems with application in various scientific and technical fields and in using the most recent technologies in high-performance computing and distributed computing. It is a two years program organized in three semesters devoted to teaching and a fourth one focused on research activities and the MSc thesis preparation. The students have the opportunity to use the infrastructure of the High-Performance Computing Lab (http://hpc.uvt.ro), participate in international research projects and to industrial projects conducted in collaboration with IT companies. [+]

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).... [-]


Master in Robotics and Intelligent Systems

Örebro University
Campus Full time 1 - 2 years September 2018 Sweden Örebro

The international Master’s programme in robotics and intelligent systems is an exciting two-year programme for students with a Bachelor’s degree in engineering. The programme is offered by the nationally and internationally renowned Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University. [+]

The international Master’s programme in robotics and intelligent systems is an exciting two-year programme for students with a Bachelor’s degree in engineering. The programme is offered by the nationally and internationally renowned Centre for Applied Autonomous Sensor Systems (AASS) at Örebro University.

Within the programme, students learn (among other things) about the methods used by autonomous vehicles to know where they are, how the navigation software on your phone finds the best route, and the sensors that robots and intelligent systems use to perceive the world, as well as machine learning methods that can make computers make difficult choices or learn to recognise the patterns around them. The programme offers two levels of graduation: a 60-credit Master of Science degree in Computer Science (one year), providing in-depth knowledge of advanced research topics and software engineering competencies which can be readily applied to the job market; or a 120-credit Master of Science degree (two years), for those who wish to gain a higher degree of autonomy in problem solving and innovative thinking, possibly pursuing a career in research and development or academia.... [-]


Executive in Business Artificial Intelligence

Three Points Digital Business School
Online & Campus Combined Full time 6 months October 2018 Spain Spain Online

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. [+]

Masters in Artificial Intelligence in Europe 2018/2019.

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.... [-]


Post Master's Degree in Communications for Intelligent Transport Systems (Connected Vehicles)

EURECOM
Campus Full time 3 semesters October 2018 France Biot

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. [+]

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. Objectives ... [-]

Master in Internet of Things (IoT)

EURECOM
Campus Full time 4 semesters October 2018 France Biot

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. [+]

Description

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.

Objectives 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. Admission Requirements ... [-]

master's degree in intelligent systems engineering

Universidad de Las Palmas de Gran Canaria
Campus Full time Part time September 2018 Spain Las Palmas de Gran Canaria

Center: IUSistemas Intelligent and Numerical Applications. Qualification: Master in Intelligent Systems and Numerical Applications in Engineering. Type: Master. Branch: Engineering and Architecture. ECTS Credit Hours: 25 [+]

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

Type: Master

Branch: Engineering and Architecture

ECTS Credit Hours: 25

Degree of presence: 40%

Total credits: 60

Curriculum

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 OF DOCUMENTARY PRODUCTION Compulsory SCIENTIFIC AND TECHNICAL INTRODUCTION TO LANGUAGES FOR NUMERICAL SIMULATION AND MODELING SYSTEMS IN ENGINEERING Optional CREATING AND EDITING DIGITAL VIDEO Optional FINITE ELEMENT METHOD ADAPTABLE AND APPLICATIONS IN ENGINEERING Optional GENERATION AND OPTIMIZATION TECHNIQUES FOR LOOP Optional SOLVING LARGE SYSTEMS OF EQUATIONS Optional PREDICTIVE ANALYSIS OF TIME SERIES Optional ENVIRONMENTAL MODELING AND SIMULATION Optional MODELING AND RELIABILITY OF COMPLEX SYSTEMS ENGINEERING: Optional INTRINSIC ORDER MODEL MODELING AND SIMULATION OF POLLUTANTS IN THE MARINE ENVIRONMENT SPILLS Optional METHOD BOUNDARY ELEMENTS Optional MODELING OF DYNAMIC PROBLEMS BY THE MEC Optional Optional MODELLING MARINE WAVES Optional MODELING SPREAD OF NOISE Optional elastic solids MECHANICS DATA MINING Optional BIOMETRIC COMPUTER Optional Pattern Recognition and Elective COMPUTER VISION Optional ENVIRONMENTAL INTELLIGENCE AND AUTOMATION Optional MOBILE SERVICES ROBOTICS Optional LEARNING AND ADAPTATION USER INTERFACES Optional PERCEPTUAL AUTONOMOUS NAVIGATION SYSTEMS Optional FUZZY LOGIC APPLICATIONS IN ENGINEERING Optional SOFTWARE ENGINEERING SYSTEMS Optional perceptual-Effector OPTIMUM DESIGN APPLICATIONS IN ENGINEERING BY EVOLUTIONARY ALGORITHMS MULTIOBJECTIVE Optional INTRODUCTION TO PARALLEL COMPUTING Optional COMPUTER ARCHITECTURE IN ENGINEERING Optional Optional... [-]

Master in Artificial Intelligence

VIU - Universidad Internacional de Valencia
Online 1 year October 2018 Spain Valencia Barcelona Madrid Colombia Bogotá Peru Lima Ecuador Quito + 7 more

Artificial Intelligence is one of the branches of computing that enjoys greater popularity. Both in the area of ​​research and commercial level, these applications are increasingly common. [+]

There are Scholarships and Aids options

Artificial Intelligence is one of the branches of computing that enjoys greater popularity. Both in the area of ​​research and commercial level, these applications are increasingly common.

Definition of the program

You will obtain a theoretical knowledge with a practical focus on a variety of algorithms and techniques used in the industry, providing you with the necessary tools to apply deep learning and computational optimization to complex problems. The program focuses on two of the most important aspects: automatic learning algorithms and computational optimization.

What makes this master unique?100% online mode.Use of real databases for automatic learning.Familiarization with software tools and libraries used in the industry.Practical approach to apply the acquired knowledge to real problems.Consideration of the most innovative applications in the world today (autonomous driving, vision, natural language, video games).Theoretical-mathematical foundations that support the most advanced techniques in the development of applications.Professional outings... [-]

Master in Internet of Things (IoT)

VIU - Universidad Internacional de Valencia
Online 1 year October 2018 Spain Valencia Barcelona Madrid Colombia Bogotá Peru Lima Ecuador Quito + 7 more

IoT is an emerging field with a great potential of application since today's society tends towards a technological model where everything is interconnected. Given this, it is necessary to train experts to control this ecosystem and can adapt to all the changes that are approaching. [+]

There are Scholarships and Aids options

IoT is an emerging field with a great potential of application since today's society tends towards a technological model where everything is interconnected. Given this, it is necessary to train experts to control this ecosystem and can adapt to all the changes that are approaching.

Definition of the program

The Master in Internet of Things brings knowledge and experience in areas related to the technology of interconnection of all types of devices and delves into fields such as telecommunications (wifi, 5G / LTE), sensors, data analysis and visualization, artificial intelligence and programming.

What makes this master unique?Full view of the ecosystem of the Internet of Things (IoT) and its components.Based on the real needs of the market and society.High specializationFocused on the practical application of knowledge.Taught by expertsVirtual laboratoriesProfessional outings... [-]

Master in smart cities

Structuralia
Online Full time 18 months November 2018 Spain Spain Online

Smart City is defined as a holistic system that interacts with human and social capital using ICT-based solutions. Its objective is to achieve sustainable development and quality of life in the city efficiently, based on cooperation between different agents articulated by the municipality. In this context, the Intelligent Cities are presented as a solution to achieve a more sustainable urban development while increasing the quality of life of its citizens through the use of new technologies (Neirotti, 2013). [+]

The enormous growth of the urban population that has occurred in the last decades and that is expected in the future, forces the cities to face new challenges. In this context, and with the appearance of new technological solutions, the concept of Smart City has emerged as an alternative that seeks to address the problems of the city with a comprehensive and connected vision. Currently, more than half of the population lives in urban areas, a figure which is expected to rise to 70 per cent by 2050. In addition, to date, 70% of global wealth is generated in cities.

It is for this reason that the budgetary policies and efforts of central governments in cities are increasing significantly in a large number of countries, as these are considered the basic engines of economic growth. If we focus on the European Union, currently more than 60% of the population lives in cities, generating 85% of the wealth according to the Green Paper on Urban Mobility (EC, 2007).... [-]


Master in In Intelligent Engineering Systems

Izmir University of Economics
Campus Full time 2 years September 2018 Turkey Izmir

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. [+]

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.... [-]


M.Sc. in Cognitive Systems

Open University Of Cyprus
Online Full time 2 years September 2018 Cyprus Cyprus Online

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 understanding and designing cognitive systems, and includes learning modules from Connectionist and Symbolic Artificial Intelligence, from Machine Learning, and learning modules on recent developments in Cognitive Computing. [+]

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... [-]


Master in Intelligent Transport Systems (IS)

Czech Technical University in Prague
Campus Full time 2 years October 2018 Czech Republic Prague

Intelligent Transport Systems in the frames of study program Technology in Transportation and Telecommunications. The study can be carried out as joint degrees in cooperation with Linköping University, Sweden and University of Applied Sciences Fachhochschule Technikum Wien, Austria. [+]

Field of Study

Intelligent Transport Systems in the frames of study program Technology in Transportation and Telecommunications.

The study can be carried out as joint degrees in cooperation with Linköping University, Sweden and University of Applied Sciences Fachhochschule Technikum Wien, Austria. For the joint degrees study, the fee is EUR 500 per semester (EUR 2000 for the entire program).

Entrance Exams

NON

Entrance Requirements fully completed application form. relevant bachelor degree. very good knowledge of mathematics at least on a BSc level and basic programming skills. English language certificate. Level of English citizenship of a state with official language -English successfully completed study of English certificate within previous university studies international certificate TOEFL score of 550 [-]

Master in Machine Learning

KTH Royal Institute of Technology
Campus Full time 2 years August 2019 Sweden Stockholm

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 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.... [-]