|Study location||Lithuania, Kaunas|
|Nominal duration||2 years|
|Awards||M.Sc. (Master of Engineering Sciences)|
|Tuition fee||€4,300 per year|
|Application fee||€100 one-time|
|Registration fee||€149.99 one-time
You can receive DISCOUNT and pay only 104.99 EUR, for more information visit our FREE webinar “Education in Europe”.
Undergraduate diploma (or higher)
The entry qualification documents are accepted in any language
Applicants must upload education documents in original language, as well as translations into English.
You must take the original entry qualification documents along with you when you finally go to the university.
Applications are NOT accepted from the following territories (based on citizenship): Bangladesh, Iraq, Pakistan, Yemen.
One of next variants, if you have no any of this certificates you can pass University or Baltic Center Exams:
Control systems are integral part of many modern technologies, and they will keep playing leading role in the Industry 4.0. Knowledge of contemporary control theory, modelling and optimisation of processes and systems, design of control systems, programming of controllers and other subjects, acquired during studies, enable performance of design and implementation of efficient and safe automated control systems, controlling complex process and facilitating everyday life, and remain competitive in labour market.
The*Master +* model offers either to masterpiece in the chosen discipline by choosing the Field Expert track or to strengthen the interdisciplinary skills by choosing the Interdisciplinary Expert track emphasising managerial skills or a choice of a different competence to compliment the chosen discipline and achieve a competitive advantage in one’s career.
Design of control systems
Design and installation of control systems
Programmed process control systems
Communications of control systems
Synthesis of controllers
Information processing in control systems
Data processing technologies
Signals and their columns in the systems
Signal processing in process control systems
Forming and analysis of data in intellectual systems
Modelling of processes and systems, and experimental analysis
Modelling and identification of systems
Application of Petri nets in control systems
Modelling in machine vision systems
Experimental analysis of technological processes
Modern and special purpose systems
Hybrid process monitoring and control systems
Integrated mechatronic systems
Process visualisation systems
Modelling and control of biotechnological processes
From specialist of automation and control systems, project manager and head of department to company’s manager