Robotics and Intelligent Systems, One/Two-Year Master's Programme, 120 credits

Start term: Autumn 2019 (open)

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.

 Tech Lab at the Master's Programme in Robotics and Intelligent Systems
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Specific entry requirements

A first-cycle degree of at least 180 credits, with computer science as the main field of study, and at least 15 credits in mathematics (analysis and algebra). In addition, knowledge of English corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School is required.

or

A first-cycle degree of at least 180 credits, of which at least 30 credits in mathematics (analysis and algebra), and at least 15 credits in computer engineering or computer science that includes programming. In addition, knowledge of English corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School is required.

Tuition fees

EU citizens

If you have citizenship in a European Union (EU) or European Economic Area (EEA) country, or Switzerland, you are NOT required to pay application or tuition fees.

Non - EU citizens

Tuition fee, first instalment: 53640 SEK

Total fee: 214560 SEK

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.

The first year is centred around a ”raise your robot” theme. From day 1, you get access to a robot kit, which you will give more and more skills as the courses within the programme progress.

The programme is embedded in Örebro University's Centre for Applied Autonomous Sensor Systems (AASS), which is one of Sweden's largest academic research centres in robotics and intelligent systems. We are internationally known for our cutting-edge research in the field.

Upon graduation, you will be able to work with advanced technologies such as decision support systems for the industry, autonomous vehicles, sensor systems, and in-home service robots. Our graduates have gone on to work at places as varied as MathWorks (mathematical computing software), DICE (video game developer) and Epiroc (advanced mining vehicles), and many have pursued a scientific research career.

Programme syllabus Robotics and Intelligent Systems, One/Two-Year Master's Programme, 120 credits

The programme is divided into blocks of course modules, typically with two modules running in parallel over 10 weeks each.

The first semester starts with an Introduction course which introduces key topics and gives hands-on experience with modern programming frameworks for robotics. In parallel, you will have a course on Sensors and Sensing: that is, how robots can see the world around them. The semester continues with Advanced AI for problem solving and search, and Robot Modelling and Control that enables robots to move as planned.

The second semester starts with a course on Machine Learning for prediction, image classification, etc; and Probabilistic Robotics, which covers mapping and localisation. If you aim for a one-year Master's degree you conclude the year with a 15-ECTS MSc thesis project. If you want to continue to the second year of the programme, you will instead take courses on Multi-Agent Systems (making independent robots work together as a team) and Planning & Scheduling (how do I get from A to B, and how should tasks be ordered in order to achieve a goal).

The second year has a higher focus on project work. The third semester is to a large part dedicated to Integrated Project Work, where you will work together with your course mates, deepening your understanding of the topics studied earlier by implementing a group project. The semester also contains a unique course on Mobile Robot Olfaction, which covers sensing and modelling of concepts as dynamic as turbulent gas flows. Finally, in the fourth semester you will complete a 30-ECTS MSc thesis, typically embedded in one of our ongoing international research projects or in cooperation with industrial partners.

Specific entry requirements: A first-cycle degree of at least 180 credits, with computer science as the main field of study, and at least 15 credits in mathematics (analysis and algebra). In addition, knowledge of English corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School is required.

or

A first-cycle degree of at least 180 credits, of which at least 30 credits in mathematics (analysis and algebra), and at least 15 credits in computer engineering or computer science that includes programming. In addition, knowledge of English corresponding to the course "English 6" or "English B" from the Swedish Upper Secondary School is required.

First semester: Autumn semester 2019

Pace of study: Full Time

Level: Second Cycle

Study places: 10

Selection: Number of credits no later than by the application deadline.

Study venue: Örebro

School: School of Science and Technology

Qualifications: Degree of Master of Arts/Science [60 credits], Degree of Master of Arts/Science [120 credits]

Language of instruction: The language of instruction is English.

Head of programme: Martin Magnusson

This degree provides the possibility to pursue an exciting career in industry as well as academia. Specialists capable of developing and maintaining complex intelligent systems are already much sought after and will become paramount in the future. With special focus on Robotics and Intelligent Systems, you can start a career as developer in advanced technologies such as unmanned vehicles, automation, computer vision and advanced AI software development. The Master's degree also makes you eligible for PhD studies for an academic career.

In particular during your thesis project work you will have the opportunity to interact with future employers. Many of our graduates have gone on to further positions within academia and within leading companies in the field (ABB, Mathworks, etc.)

Study Advisor: Anna Wärn

Phone: +46 19 303000 (switchboard)

Email: This is an email address

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