A Masters degree gives you the opportunity to either further your understanding of a particular question or take off in a completely different way using skills you have gained from your previous undergraduate degree.
A wide range of knowledge as well as an assortment of methods and skills are necessary in mechanical engineering. This subject is diverse because it is the foundation of designing and manufacturing everything from small individual parts and devices to large 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 Øresund. 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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The joint Master's programme in Turbomachinery Aeromechanical University Training (THRUST) is a cooperation between KTH, Duke University, Aristotle University of Thessaloniki and Université de Liège. The programme offers education of high [+]
The field of Engineering Mechanics includes all areas of the industrial design process that are based on advanced mechanical analysis of product behavior and functionality. The Master’s programme equips students with the knowledge and skills [+]
Machine Learning is a scientific discipline focused on the development of algorithms that spot patterns or make predictions from empirical data. [+]
Master in Machine LearningMachine Learning is a scientific discipline focused on the development of algorithms that spot patterns or make predictions from empirical data. Already such algorithms have allowed computers to answer these questions: "Where are the faces in this photo?" and "Can you recommend a movie for me to watch?" In layman's terms, the relationship between data and predictions/patterns is learnt by examining a large quantity of relevant example information. This idea has become central to the design of search engines, robots and sensor systems which process large data sets.Programme outlineIn this programme you will learn the mathematical and statistical foundations and methods for Machine Learning and become comfortable manipulating them to solve questions. You will also gain practical experience of how to match, apply and implement relevant techniques from the field to real world problems. Therefore, the programme provides the students with both the theoretical tools and practical know- how of machine learning, and this is an excellent basis for either a career within industry or further advanced studies.The first semester is devoted to compulsory courses and provides an introduction and solid foundation to the field. Afterwards, students can focus on one of two tracks:... [-]