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Automation Technology 2020, Vasa


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Year of study 1 2
Search for study unit: ECTS 1 2 1A 1S 2A 2S 1 2 3 4 5 1 2 3 4 5
Dynamic Systems 5
Development of Control Systems 5
Linear and Nonlinear System Identification 5
Multivariable Control 5
Supervisory Systems 10
Degree Thesis 30  
ECTS credits per period / semester / academic year 30 30 15 15 30 0 15 15 10 10 10 30 30 0 0 0

Due to the timing of optional and elective courses, credit accumulation per semester / academic year may vary.


The Master’s degree programme is designed for the professional engineer who wants to deepen his/her knowledge and understanding of the methods and possibilities of modern automation and control systems. The students will study automation and control both on a theoretical level and on a practical level – learning to design, test and implement control, supervisory and automation systems. A special emphasis is put on broadening the control and automation sciences to a more general non-technical field of applications.


The student gains knowledge of how to model, control and simulate common industrial processes. The student can identify opportunities for industrial decision-making and learn how to implement intelligent solutions. The student learns how to apply machine learning methods to solve industrial problems by using classification, regression, detection, and optimization. The student understands the importance of thorough testing and evaluation of models and of high-quality data to succeed with the data-driven decision-making process. The student develops an understanding of the ethical, sustainability and security challenges of modern industrial automation systems.