Master's Degree in Artificial Intelligence in Örebro in Sweden

View Masters Programs in Artificial Intelligence 2018/2019 in Örebro in Sweden

Artificial Intelligence

A masters is awarded to students who have completed postgraduate level study in a specific field of study or area of professional practice while demonstrating a high level of mastery during the process.

Artificial intelligence is far more than the media portrayal of this subject; it is the leading edge of software solutions. This field of computer science is useful for data managers, engineers, researchers and machine learning developers.

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.

Having a headcount of over 100,000 people, Örebro city is the administrative center of the Örebro municipality of Örebro County, Sweden. It is the home town to one of Sweden’s new upgraded colleges – the Örebro University.

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Master in Robotics and Intelligent Systems

Örebro University
Campus Full time 1 - 2 years September 2019 Sweden Örebro

Learn about state-of-the-art artificial intelligence and robotics together with some of Sweden's leading researchers. Our highly rated programme prepares you for advanced development and research in AI, self-driving cars, smart homes and more. [+]

Learn about state-of-the-art artificial intelligence and robotics together with some of Sweden's leading researchers. Our highly rated programme prepares you for advanced development and research in AI, self-driving cars, smart homes and more.

The International MSc programme in Robotics and Intelligent Systems gives you a computer science degree at the cutting edge of today’s research in AI and smart robots. Within the programme, you will learn (among other things) about the methods used by autonomous vehicles to know where they are, how the navigation software in your phone finds the best route, and the sensors that robots and intelligent systems use to perceive the world, as well as machine learning methods used by computers to make difficult choices or learn to recognise the patterns around them.... [-]