Master in Automation in Sweden

View Master Programs in Automation in Sweden

Automation

A masters is the first level of graduate coursework and can be obtained after you receive a bachelor’s degree. Earning a masters usually requires two years of full-time study, which amounts to 36 to 54 semester credits.

 

Automation refers to the computerized control of different machine products. Each school's program varies, but classes may include machine dynamics, manufacturing analysis, heating system fundamentals, computer integrated manufacturing and computer-aided design. Instruction often takes place in both a classroom and laboratory setting.

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.

Master's Program in Automation in Sweden

Read More

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.... [-]