Master Degree in Automation / Autonomous Systems in Stockholm Sweden

Best Master Programs in Automation / Autonomous Systems in Stockholm Sweden

Automation / Autonomous Systems

A master's degree is a postgraduate academic degree. One must already have an undergraduate degree to apply for a master's program. Most master's degree program would require students to complete a master's thesis or research paper.

The graduates in MSc in Automation / Autonomous Systems have a powerful background in classical engineering fields, such as thermodynamics, mechanics, electric drives, automatic control, and in the disciplines of the data and telecommunication technology, like computer science, electronics, communication systems.

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.

Best Masters Program in Automation / Autonomous Systems 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.... [-]