Page 2 of 2, compare 18 Masters Programs in Artificial Intelligence
18 Results in Artificial Intelligence Filter
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
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.
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.
This master's degree aims to provide students with professional training in computer engineering, telematic engineering and related fields that specialise in Computer Security and Artificial Intelligence.
A professional course designed to meet the demand for security and intelligence professionals in government, law enforcement, and industry
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 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.
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.
As a Master's student, you will learn to conduct independent research in the field of artificial intelligence (AI). You will explore knowledge acquisition and modeling, multi-agent systems, and techniques to make internet searches more efficient and effective.
Earn a MicroMasters® program credential in Artificial Intelligence from Columbia University to launch your career in computer science and design the future.
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 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 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 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.
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.