Master Program in Automation / Autonomous Systems in Sweden

View all Masters Programs in Automation / Autonomous Systems in Sweden 2018/2019

Automation / Autonomous Systems

The benefits of a Masters extend beyond improving your earning potential. They can provide you with personal and professional skills to accelerate your development. They are also an opportunity to differentiate yourself from your peers, many of whom will have similar A-level and undergraduate qualifications.

Many industries today rely on autonomous systems. The machines and processes used in factories, for example, are often designed to self-regulate or to operate with minimal effort on the part of human workers. Students in the automation field may explore the principles necessary to design these 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.

Top Master Programs in Automation / Autonomous Systems in Sweden 2018/2019

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Master in Machine Learning

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