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Overview
Study objective
The Master’s degree programme in Automation Technology at Novia University of Applied Sciences is designed for the professional engineer who wants to deepen his or her knowledge and understanding of the methods and possibilities of modern automation and intelligent systems. The student will study automation and control both on a theoretical level and on a practical level – learning to design and use automation systems and how to apply modern techniques of data-driven decision making. A special emphasis is put on the use of machine learning methods in industrial automation and the study of intelligent systems.
Study content
Studies in Automation Technology will give the student knowledge in the methods and techniques of planning, implementing and using modern systems of process control and automation. Both model-based and data-based methods are covered. The curricula include the application of machine learning methods for industrial automation and studies of intelligent systems. Specific applications include data-driven fault detection, automatic event classification and techniques for predictive maintenance.
Studies
The Master’s degree programme in Automation Technology (60 ECTS) consists of degree specific professional studies (30 ECTS) and a Master’s thesis (30 ECTS).
The studies are designed for students who are already working. Tuition in the Master's degree programme is organized so that studying can be combined with full-time work during a period of two years. During these two years, the studies are scheduled for two days a month from September to June. The studies consist of virtual parts and intensive course days mainly at Campus Vaasa. The studies of the programme involve not only theoretical lectures but also practical ways of learning, laboratory assignments and hands-on exercises in innovative learning environments.
Programme Structure
Courses include:
- Research methods and scientific writing
- Dynamic systems - modeling, simulation and control
- Machine learning methods in automation
- Development of modern automation systems
- Intelligent systems
- Project course in automation
Key information
Duration
- Part-time
- 24 months
Start dates & application deadlines
- Starting
- Apply before
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Language
English
IELTS 5.5
Credits
60 ECTS
Delivered
On Campus
Disciplines
Mechanical Engineering Automotive Engineering General Engineering & Technology View 8 other Masters in Mechanical Engineering in FinlandAcademic requirements
We are not aware of any academic requirements for this programme.
English requirements
IELTS 5.5
Other requirements
General requirements
- You need a Bachelor degree certificate (undergraduate degree EQF 6, or equivalent document). Upon request, you must also submit a transcript of records (a record of completed courses and grades).
- If your Bachelor degree certificate is not issued in English, Swedish or Finnish you need an authorised translation of the document into English, Swedish or Finnish.
- You need at least two years (24 months) of work experience obtained after your Bachelor degree that can be verified by employment certificates issued by your employer.
- You need to have good English language skills. Your language skills will be tested in the entrance examination(s). A separate language test is not necessary in the application. In order to be successful in your studies, your English language skills should be at least level B2 according to the Common European Framework of Reference (CEFR).
Tuition Fee
To alway see correct tuition fees
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International
9000 EUR/yearTuition FeeBased on the tuition of 9000 EUR per year during 24 months. -
EU/EEA
FreeTuition FeeBased on the tuition of 0 EUR per year during 24 months.
Living costs for Vaasa
680 - 990 EUR /month
Living costs
The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.
Funding
Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.
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