Master's Degree in Automation / Autonomous Systems in Stockholm in Sweden

See Masters Programs in Automation / Autonomous Systems 2018 in Stockholm in Sweden

Automation / Autonomous Systems

A masters refers to the completion of a graduate study program that prepares students to further their knowledge of a specific subject or advance their careers. The majority of masters are granted by state or public universities.

As students enter an automation program, they might expect to become familiar with the technology used to monitor and control various machines and processes used in manufacturing. The study of autonomous systems may include mathematics, mechanics, and advanced technology.

Sweden, officially the Kingdom of Sweden, is a Scandinavian country in Northern Europe. Sweden borders Norway and Finland, and is connected to Denmark by a bridge-tunnel across the ├śresund. Sweden is a developed post-industrial society with an advanced welfare state. The standard of living and life expectancy rank among the highest in the world.

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.

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Master in Machine Learning

KTH Royal Institute of Technology
Campus Full time 2 years August 2018 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.... [-]