Master Program in Artificial Intelligence in Stockholm Sweden

Top Master Degrees in Artificial Intelligence in Stockholm Sweden

Artificial Intelligence

A masters is earned after students complete an undergraduate degree program. To obtain a masters, you usually need to complete 12 to 18 college courses that often involve completing comprehensive tests and/or a thesis.

Artificial intelligence is a major part of how software development can change the future. Jobs in machine learning, software solutions and research all use this growing subject to make computers faster and smarter.

Sweden (Sverige) is the largest of the Nordic countries, with a population of about 9.5 million. It borders Norway and Finland and is connected to Denmark via the bridge of Öresund (Öresundsbron). Sweden has a strong tradition of being an open, yet discreet country.

Being the largest city in Sweden, Stockholm has over 1.3 million people in the urban area. The city comprises of several Islands and it is the capital city of Sweden. Stockholm has over 10 universities and colleges.

Top Master's Degree in Artificial Intelligence in Stockholm in Sweden

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Master in Machine Learning

KTH Royal Institute of Technology
Campus Full time August 2019 Sweden Stockholm

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 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.... [-]