Compare 18 Masters Programs in Artificial Intelligence
Enrolling in a master’s program after obtaining a bachelor’s degree can give students advanced knowledge in subjects that enhance their careers. This degree may qualify students as experts in their chosen fields and make them eligible for a wider selection of high-paying jobs than if they only have a bachelor’s degree.
What is a Master in Artificial Intelligence? It is a program designed to give students a deeper understanding of technology and how to apply logic to create artificial intelligence. Students may study mechanics such as engineering and robotics while delving into courses that explore principles of logic, programming, and intelligence. Each course typically gives students in-depth knowledge of an aspect of machine learning and teaches them to create and program unique projects for the artificial intelligence field.
Many skills may be developed during a master’s program that could lead to high-paying jobs and career advancements in the future. Students may develop critical-thinking and technology skills that help them excel in their career field, and they may also learn crucial problem-solving abilities.
Because it can take anywhere from one to three years to finish a master’s degree, the cost varies drastically. Every school is different and has its own set tuition fees, and the location of the classes could also affect the price.
The field of artificial intelligence is relatively new and exciting, and a number of interesting careers are available to those with the right degree. Some students may choose to work as software engineers, while others prefer careers as analysts. Many find positions as developers. Jobs working with machine learning applications may also be available, and new career opportunities continue to appear as the market expands.
Balancing personal lives with education is a challenge for many students. A number of universities have begun offering online classes to give students the flexibility they need to succeed. To find a university that meets your needs, search for your program below and contact directly the admission office of the school of your choice by filling in the lead form.
18 Results in Artificial Intelligence Filter
The Intelligent Systems program is oriented towards the preparation of specialists in Data Science/Machine Learning. 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.
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.
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.
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.
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.
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. Those who have the skills will get ahead faster. The objective of our Advanced Master in Digital Transformation & Business Analytics is to prepare you for these new challenges and become leaders of this transformation, capable of managing digital projects to their successful completion.
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.
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.
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.
Earn a MicroMasters® program credential in Artificial Intelligence from Columbia University to launch your career in computer science and design the future.
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.
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.
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.
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.