Best 19 Masters Degrees in Artificial Intelligence 2019
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.
The Intelligent Systems program is oriented towards the preparation of specialists in Data Science/Machine Learning. A unique program that provides advanced study along w
Masters Programs in Artificial Intelligence. Program perspectives
A unique program that provides advanced study along with practical experience;
A great opportunity to realize your potential and develop professional skills by working on real projects of vendors such as EMC, Alem Research, etc.;
The program is oriented towards the preparation of specialists in Data Science/Machine Learning;
Learning advanced innovative technologies including the collection of a large amount of data, solving business cases using data processing and management techniques, using programming languages such as R, Python, and MATLAB, and gaining experience in working with machine learning and pattern recognition tools and techniques;
Learning tools and techniques necessary for the development of real-time and embedded systems;
Courses are taught by the highly-qualified specialists, developers of software products from the large and well-known companies such as (needs to be filled out)
Professional certification from the University of Southampton;
Well-paid job after graduation;
Tuition fee for the entire period of study is 8 400 000 tenge; *there is an opportunity to win the internal grants of the KBTU.
The program is based on a unique technology, where gained theoretical skills can be applied to real practical problems.
An invaluable knowledge that is useful today.
Undergraduate degree in Information Systems, Automation, and Control, Computer Systems and Software, or other related fields;
Strong knowledge of high level and low-level programming, algorithms and data structures, object-oriented programming, embedded design, and digital logic background, solid probability and linear algebra background;
Good level of English language proficiency.
Stevens Institute of Technology - Graduate Studies
Stevens is traversing new frontiers in artificial intelligence by offering one of the first graduate programs in the country to explore AI applications for engineering.
Stevens is traversing new frontiers in artificial intelligence by offering one of the first graduate programs in the country to explore AI applications for engineering.
In the applied artificial intelligence masters program, graduate students develop a strong background in the theoretical foundations and algorithm development in artificial intelligence and deep learning with a thorough understanding of a variety of engineering applications. Students will learn a blend of software and hardware skills that are applicable across multiple engineering domains.
Students are immersed in a hands-on approach to learning within a mix of course offerings, from fundamental core courses to state-of-the-art topics such as internet of things (IoT), information systems security, and big data applications....
Learn about state-of-the-art artificial intelligence and robotics together with some of Sweden's leading researchers. Our highly rated programme prepares you for advanced
Learn about state-of-the-art artificial intelligence and robotics together with some of Sweden's leading researchers. Our highly rated programme prepares you for advanced development and research in AI, self-driving cars, smart homes and more.
The International MSc programme in Robotics and Intelligent Systems gives you a computer science degree at the cutting edge of today’s research in AI and smart robots. Within the programme, you will learn (among other things) about the methods used by autonomous vehicles to know where they are, how the navigation software in 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 used by computers to make difficult choices or learn to recognise the patterns around them....
The HCI master's programme offers you an integrative and cutting-edge approach to the rich area of HIC research and development; combined viewpoints of information scienc
Ready to shape the future?
The omnipresence of computing quickly takes shape. Computing is everywhere nowadays: from mobile phone apps and personal trackers to robots. This raises questions such as; when and how should computing devices adapt to individual users? Can we think of entirely new approaches to the interaction between human and machine? And as computing pervades more and more areas of our lives - while artificial intelligence enhances further and further - can we ensure that our privacy is safeguarded? Human-Computer Interaction (HCI) investigates all of these questions!
The HCI master's programme offers you:
An integrative and cutting-edge approach to the rich area of HIC research and development;
Combined viewpoints of information science, computer science, and psychology;
And a solid methodological and technological basis, with strong links to research, performed in an applied setting.
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)....
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 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.
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 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
Masters Programs in Artificial Intelligence.
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....
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....
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....
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:...
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...
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 make the students achieve a level of competency, cognition, and knowledge in the acquisition of theoretical foundations in the stated specializations related to Comput
Masters Programs in Artificial Intelligence. Program Educational Objectives
To make the students achieve a level of competency, cognition, and knowledge in the acquisition of theoretical foundations in the stated specializations related to Computer Science and Engineering at postgraduate level
Must be able to conduct research and undertake development in the focused and emerging areas and domains shortlisted for the discipline - Computer Science and Engineering
Specify, design, develop, prototype and test the applications that are related to the domains finalized for the program
Be able to achieve hands-on practice in using a different type of tools which are related to theoretical aspects covered in the program, and be able to conduct...