Mechanical Engineering - Smart Systems

In the Mechanical Engineering - Smart Systems specialisation from University of Turku, you will have access to skills and knowledge that will enable you to design and develop cutting-edge smart technologies for a wide variety of applications and in various branches of industry. 

The studies in the Master’s Degree program: Smart Systems specialisation track provide advanced training in smart technologies and enable you to deal with the challenges and opportunities of modern industry. Mechanical Engineering - Smart Systems degree is offered at University of Turku .

A smart system makes use of artificial intelligence algorithms and control technologies to integrate sensors and actuators so that devices can operate autonomously and intelligently. It should therefore be able to make reasonable predictions about the expected results of its own actions, adapt to operational changes, and learn from experience.

In order to meet the current demands of modern industry, the Smart Systems track gives access to courses in robotics, machine learning, intelligent control, digital factory, systems engineering, and modelling. This interdisciplinary approach offers you a wide range of cutting-edge knowledge in smart technologies and helps you step through the doors of the fourth industrial revolution.

Job options

The employment percentage of those holding an MSc (Tech.) degree is high in Finland. Moreover, since smart systems are becoming an intrinsic part of our daily lives, with applications ranging from simple smart home appliances to highly efficient and intelligent manufacturing systems, this specialisation track offers several career opportunities in a wide variety of jobs.

Career in Research

After successfully finishing this program, you can also opt for a research career by applying for a position at the University of Turku Graduate School UTUGS. The Graduate School consists of doctoral programs, which cover all disciplines and doctoral candidates of the University.

Courses include:

• Intelligent control of mechatronic systems using machine learning

• Control and decision-making in autonomous robotic systems

• Smart condition monitoring for predictive maintenance

• Soft Computing Applications in Industry: modeling and control

• Smart sustainability: AI-based approaches to energy-efficient automation.