Master's Degree in Automation in Stockholm in Sweden

See Masters Programs in Automation 2018/2019 in Stockholm in Sweden

Automation

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.

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.

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.

Request Information Master's Degrees in Automation in Stockholm in Sweden 2018/2019

Read More

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.... [-]