Though the concept of Artificial intelligence has been existing for quite a while, it is only in the recent years that it has picked up on the technology charts and is trending on every industry possible. Becoming one of the best-loved technologies amongst the ingenious minds across the globe, AI demands a blend of computer science, math, cognitive psychology and engineering.
There is no doubt about the fact that soon the demand for professionals trained in Artificial Intelligence would outrun supply. Though there is some overlap of AI with analytics, a proficient AI professional would have deep knowledge on areas like computer vision, NLP, robotics and machine learning.
AI education is still in its early days. Sifting through some of the programs on Artificial Intelligence from around the world, we found that not many educational organizations are offering AI courses yet. Most universities that are offering AI courses are doing so as a specialty of elective within larger computer science masters programs.
Yet some universities, mostly in europe, have a headstart in this area and are providing dedicated masters programs in AI. With a lot of scope that this area has in store, many universities and institutes across the globe would soon tap onto this opportunity and would start offering training and courses that promises to up the knowledge and skill sets in AI and machine learning.
Analytics India Magazine brings to you the 10 leading centres across the world that offer Masters Program in AI. Please note, these are dedicated master programs in AI. We have not included short term or elective offerings on AI.
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.
This program is addressed to national and international students who wish to acquire advanced knowledge in AI in order to occupy positions of responsibility in industry, the public sector and academia in Catalonia, Spain or abroad. The program covers many research areas related to the design, analysis and application of AI.
Students who undertake this master’s degree will be equipped to:
- Deal with technically complex problems that require a degree of innovation and/or research.
- Make strategically important decisions within their professional domain
- Pursue doctoral studies within the domain of information and communication technologies at the UPC, the URV, the UB or abroad.
- Title/degree:Master of Science (MSc)
- Duration:2 years (120 EC), full time
- Start months: September and February
- Language of instruction: English
The AI Master’s programme at Radboud University has a distinctly cognitive focus. This cognitive focus leads to a highly interdisciplinary programme where students gain skills and knowledge from a number of different areas such as mathematics, computer science, psychology and neuroscience combined with a core foundation of artificial intelligence.
- Degree programme: MSc Artificial Intelligence
- Type: Regular study programme
- Mode: Full-time
- Credits: 120 ECTS, 24 months
- Language of instruction: English
- Starts in: September
The Master’s programme in Amsterdam has a technical approach towards AI research. It is a joint programme of the University of Amsterdam and Vrije Universiteit Amsterdam. This collaboration guarantees a wide range of topics, all taught by world renowned researchers who are experts in their field.
Our research draws on neuroscience, cognitive science, linguistics, computer science, mathematics, statistics and psychology to span knowledge representation and reasoning, the study of brain processes and artificial learning systems, computer vision, mobile and assembly robotics, music perception and visualisation.
We aim to give you practical knowledge in the design and construction of intelligent systems so you can apply your skills in a variety of career settings.
The Master of Science in Artificial Intelligence (M.S.A.I.) degree program is offered by the interdisciplinary Institute for Artificial Intelligence. Areas of specialization include automated reasoning, cognitive modeling, neural networks, genetic algorithms, expert databases, expert systems, knowledge representation, logic programming, and natural-language processing. Microelectronics and robotics were added in 2000.
- Degree: MSc in Artificial Intelligence
- Course type: Master
- Language of instruction: English (100%)
- Duration: 24 months (120 ECTS)
- Start: February, November, September
- Programme form: full-time
- Faculty: Mathematics and Natural Sciences
The courses taught in the area of cognitive robotics are related to research in social robotics, to the origin of robotic communication and to the way in which robots recognize movement. Research is conducted at the Artificial Intelligence and Cognitive Engineering Institute.
University of Sheffield – MSc Computational Intelligence and Robotics
You will undertake a broad spectrum of modules related to computational intelligence and robotics, including vision, speech, neural networks, mobile robots and autonomous vehicles and computational neuroscience.
You will be taught by world-leading experts from the Departments of Automatic Control & Systems Engineering, Computer Science, and the neuroscience group in Psychology. The teaching will include lectures, seminars, tutorials, individual assignments and a major research project.
This course provides the multi-disciplinary knowledge and skills you will need to meet the demand for experts in computational intelligence.
- Degree Awarded: MSc
- Intake: 350 places across all ECS MSc programmes
- Average applications per place: 7
This research-led MSc takes a contemporary approach and covers the fundamental aspects of traditional symbolic and sub-symbolic aspects.
The programme will give you a solid awareness of the key concepts of artificial intelligence. You will also learn the techniques that form the current basis of machine learning and data mining. You will develop a wide-ranging skill set that supports further study or that you can use in application development.
As a result of the leading research being undertaken at Southampton, the course is able to offer a wide range of options that cover state-of-the-art modern techniques, which directly reflect research directions in ECS.
- Title: MSc
- Master’s degree in: Artificial Intelligence
- Programme: Artificial Intelligence
- LANGUAGE OF INSTRUCTION: English
- PART- OR FULL-TIME STATUS: Full-time
- DURATION: 2 years
- CREDITS: 120
- START OF STUDIES: February, September
- FACULTY: Science
- GRADUATE SCHOOL: Natural Sciences
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.
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Bhasker is a Data Science evangelist and practitioner with proven record of thought leadership and incubating analytics practices for various organizations. With over 16 years of experience in the area of Business Analytics, he is well recognized as an expert within the industry. Earlier, Bhasker worked as Vice President at Goldman Sachs. He is B.Tech from Indian Institute of Technology, Varanasi and MBA from Indian Institute of Management, Lucknow.