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Energy Automation Sustainable Engineering

Master of Engineering, 60 ECTS

Are you driven by a desire to create and implement the next generation of automatic and supervisory systems? Would you like to learn how to improve process operation, maintenance and automation, especially within renewable energy systems? The Energy Automation Sustainable Engineering programme is for you who wish to take part in the transition towards more sustainable and circular solutions by using modern engineering skills.


The master’s degree programme Energy Automation Sustainable Engineering (EASE) has a unique, Nordic profile within a rapidly changing field. In this programme, we focus on sustainable change in energy systems from a local and a global perspective. You will learn how analytical and modelling tools can be implemented in supervisory systems for the purpose of improved understanding and more efficient operation. We look at how physics and data can be used to create digital twins and how digital models support sustainable change in engineering design and transition towards a circular economy. The programme prepares you for taking on leadership roles within various fields of engineering and provides you with the skills needed for supporting the transition towards more sustainable engineering.

EASE comprises 60 ECTS with studies lasting one year. Please note that all applicants must have a minimum of two years (24 months) of relevant work experience after the completion of the bachelor’s degree in engineering in order to meet the eligibility criteria. Relevant work experience could e.g. be experience in development, operation, maintenance, software, or a similar field of engineering.

The programme is offered in collaboration with Arcada. While most of the studies take place online, students are also expected to physically attend curricular activities both on Arcada’s campus in Helsinki and on Högskolan på Åland’s campus in Mariehamn for a few weeks during spring semester.

What you will learn

  • skills in designing and implementing analytical tools in supervisory systems
  • skills needed for adapting supervisory systems to different applications within engineering, especially within renewable energy systems and smart grids
  • how to support changing business models towards including service and maintenance within engineering applications on a general level
  • how digital twins can be used for designing and improving automatic systems
  • how models of engineering systems can be combined with sensor data for system health management and predictive maintenance
  • how to incorporate your understanding in supervisory systems for, e.g., improving operation, automation and control
  • different strategies that can be used for controlling generated power in addition to controlling demand in electric grids.

Examples of future positions

After completing this master’s degree, you can take on leadership roles in:

  • developing measurement and supervisory systems for engineering applications
  • developing automation and production lines, and improving efficiency through use of models and data
  • driving sustainable change in engineering systems and support the transition towards a more circular society.

Nordic collaboration that creates a unique programme

In this programme, you can expect top-quality teaching. Our teaching teams represent both
institutions and possess extensive expertise within the field of energy automation, covering anything from supervisory systems to data analysis. Online learning is combined with on-campus labs, presentations and visits to industrial partners, both in mainland Finland and on Åland. Industrial partners include Ilmatar, Inficon, Flexens and OX2. You will get a unique opportunity to make use of highly equipped and state-of-the-art facilities – physical and digital – on both Arcada’s campus in Helsinki and on Högskolan på Åland’s campus in Mariehamn.

There is also an extensive Nordic network specifically for the field of this programme. You can expect to have possibilities for collaboration and joint projects with Mälardalen University and programmes in Sustainable Energy Systems, Intelligent Embedded Systems, and Robotics, and with Aalborg University and programmes in Advanced Power Electronics and Offshore Energy Systems.

Flexible online studies combined with inspiring on-campus weeks

Introductory sessions are held online and lectures are available as a mix of pre-recorded, audio-commented presentations and live online sessions. Assignments are discussed in study groups online and diaries are used to summarize discussions and progress in writing. In-person sessions focusing on laboratory assignments, presentations, and industrial visits are scheduled for 2–3 weeks per semester. For the spring semester 2024, the live online sessions will typically be held on Wednesdays after 2:15 PM and the on-campus weeks are scheduled to take place on 4-8 March in Helsinki and 20–24 May on Åland. Students are expected to cover the costs for travel, accommodation and food themselves. Changes may occur.

Study units:

  • Renewable Energy Systems – Design and Optimization (5 ECTS)
  • Data Acquisition and Analytics (5 ECTS)
  • Designing Digital Twins (5 ECTS)
  • Changing Energy Systems and Electric Grids (5 ECTS)
  • Automation and Digital Twins (5 ECTS)
  • Predictive Maintenance (5 ECTS)
  • Master’s Thesis 30 ECTS

Tuition fees

Please note that applicants from countries outside the EU/EEA are required to pay tuition fees. This master’s degree programme, consisting of 60 ECTS, costs 11 000 euros. In case a student is unable to complete the degree within the given study time, the student needs to pay 5 500 euros per each extra semester until the degree is completed.

No scholarships are available for master’s degree studies, but we do have an early bird offer. An admitted student can receive a discount of 3 000 euros on the tuition fees for the first academic year by bindingly accepting the study place offer of Åland UAS and paying the tuition fee within 14 days.

Åland University of Applied Sciences reserves the right to make index adjustments to the tuition fees and early bird offer during the studies.