Best Masters Degrees in Artificial Intelligence in Asia 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.
Students who complete a part of their degree in Asia are growing in numbers. Currently, the second and the third biggest economies are in Asia. Without limitation, students have described their time in Asia as the best experience of their lives. Today, three of the four most populated countries of the world are in Asia: China, India, and Indonesia.
Masters Program in Artificial Intelligence in Asia
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....
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
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...
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 Intelligent Systems program is oriented towards the preparation of specialists in Data Science/Machine Learning. A unique program that provides advanced study along w
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.