MSc Electrical Engineering

2 years full time, 120 ECTS, degree


Language of instruction, English


The program

The graduate program in Electrical Engineering combines a solid theoretical foundation in physical science and mathematics, with engineering design and entrepreneurship. We emphasize that our students gain strong engineering and problem solving skills, and get to know all aspects of the engineering design process, from conception and development through operation and implementation. One of our key focus points is that the students develop strong team-working skills.

Double degree

Reykjavik University School of Science and Engineering has signed a "Double Degree Master's Programme" agreement (in Electrical Engineering) with Aalto University (School of Electrical Engineering), Finland. At Aalto university, application for this program will open in January/February 2017 with studies commencing in August 2017. See further information under the "Structure" tab on this page.

We offer specializations in Electric Power and in Mechatronics.

Electric Power

Electric Power engineering is concerned with components of electric power systems, their operations, production and transport of electrical energy, and how to ensure steady delivery of electricity to meet consumer demand. Additionally, the field is concerned with the design requirements for electric power systems and subsystems, and their interactions.

We offer a variety of courses, designed for specialization in electric power systems, including Power System Operation, High Voltage Engineering, Power System Stability and Control, Power System Protection and Power Electronics.

Integrated Project

Our graduate students are required to take the course Integrated Project, an interdisciplinary design course, focused on the design and implementation of a complex engineering system. Examples on possible course projects include:

  • Smart grids and the power transmission system.
  • Real time power system operation and power quality

Mechatronic engineering

Mechatronics is the combination of electrical engineering, computer science and mechanical engineering and focuses on automation, sensors, data acquisition and analysis, actuators and control.  The course is offered within the mechanical- and electrical engineering department and is organized in close relationship with computer science.  The main aim of the course is to bring the three disciplines together in order to solve real-world problems in robotics and mechatronics.   There is an emphasis on machine learning, computer engineering, computer vision, system dynamics and control.  A variety of topical courses are on offer, including Linear Dynamical Systems, Data Mining and Machine Learning, Computer Vision Applications in addition to recommending various courses in from Computer Science and Mechanical Engineering.

Integrated Project

Our graduate students are required to take the course Integrated Project, an interdisciplinary design course, focused on the design and implementation of a complex engineering system.
Examples on previous course projects include:

  • Autonomous Submarine
  • Robot monitoring the temperature of molten aluminum containers
  • Prosthetic leg testing robot

  • Buoy broadcasting whale sounds

  • A single stage rocket, driven by solid fuel.


  • The degree requirement is 120 ECTS, or equivalent of 4 semesters of full time study, following a 180 ECTS undergraduate study.
  • Full time study is consider to be 30 ECTS per semester. Courses are usually 6-8 ECTS.
  • Students have a choice of completing either a 30 or a 60 ECTS MS thesis.
  • All students must take an integrated project course (14 ECTS).
  • In addition to the field requirements, students are encouraged to select from a variety of elective courses based on their personal interest.

Course catalogue (pdf)

Electric Power

  1. year  2. year 
  • High voltage engineering 
  • Power system operation 
  • Elective 
  • Power Elecrtonics *
  • Electives, Thesis, Internship or Exchange studies (Valnámskeið, Meistaraverkefni, Starfsnám eða skiptinám)
  • Smart-Grids in sustainable energy systems (Snjallnet og sjálfbær raforkukerfi)
  • Stability and Control in Electric Power Systems (Stöðugleiki og stjórnun Raforkukerfa)
  • Integrated project CD og CDIO (Samþætt verkefni I)
  • Elective (Val)
  • Intergrated project IO of CDIO (Samþætt verkefni II)*
  • Thesis 

*Three week course

Electives  - Fall

  • Partial differential equations
  • Simulation
  • Advanced circuit design
  • Theory of computation
  • Measurements and stochastic variables
  • Linear dynamical systems

Electives - spring

  • Probability and Stochastic Processes

  • Engineering optimization
  • Thermodynamics

  • Heat transfer

  • Numerical Fluid Flow and Heat Transfer

  • Medical Imaging

Mechatronic engineering

  1. year   2. year  
  • Precision machine design
  • Data mining and machine learning
  • Linear Dynamical systems
  • Computer vision applications

  •  Elective
  • Thesis
  • Elective
  • Integrated project
  • Thesis 

Electives  - Fall

  • Computer networks
  • Applied probability 
  • Electromagnetism and Semiconductors

  • Power Electronics

  • Theory of computation
  • Simulation II
  • Biomechanics
  • Research Methods I

Electives - spring

  • Engineering optimization
  • Optimization applications
  • Stochastic processes
  • Mechatronics II
  • Solid state electronics

Double Degree Master's Programme

  • Reykjavik University, School of Science and Engineering has signed a "Double Degree Master's Programme" agreement (in Electrical Engineering) with Aalto University (School of Electrical Engineering), Finland.
  • It is a two-years Master's Programme of 120 ECTS credits. 
  • The agreement take effect in 2017.
  • At Aalto university, the application for this program will open on January/February 2017 but the students will begin their studies in August 2017.
  • The final admission of students is always subject to final approval by the Aalto university (host institution).
  • Students are required to complete one or two full terms/semesters at each university.
  • The minimum Master studies credit is 60 ECTS credits from each university, including a co-supervised 30 ECTS Master's thesis.
  • Contact person at Reykjavik University: Ass.Prof. Mohamed Abdelfattah (



Admission requirement is an undergraduate study in electrical engineering or related disciplines.

Upon graduation, students should fulfil all requirements of the Ministry of Industries and the Icelandic Association of Engineers to obtain the professional title of Engineer. Therefore, students must have completed a prescribed set of engineering foundation and science courses.

Assistance is provided to students that need to increase the scope of their previous studies, in order to adhere to the recommendations above

Contact us

If you would like any further information please do not hesitate to contact us.

Office of the School of Science and Engineering tvd(at)

María Sigríður Guðjónsdóttir
Head of Mechanical and Electrical Engineering
(+354) 599 6304

For international enquiries please contact:

Verity Louise Sharp
International Admissions Officer
(+354) 599 6584

When graduated

Specialization in Electric Power Engineering is designed to prepare students for careers in electric power industry, including power generation,  the design of electrical power systems and components, their operation and maintenance. Electric power engineers are employed by the power system operators, power system service providers, consulting engineering firms, aluminum industry and other large energy consumers.

Specialization in Signals and Systems is designed to provide career opportunities in high tech [RK1] industry. Our graduates have been hired by Efla consulting, Landsnet, Teledyne Gavia, Marel and Alcoa.

Examples of previous MSc projects:

  • Speaker Localization and Identification (2012) - Hendrik Tómasson
  • Automatic Thermal Inspection of Aluminium Reduction Cell  (2012) - Guðjón Hugberg Björnsson
  • Sjálfvirkur eftirlitsróboti fyrir álver (2013) -  Símon Elvar Vilhjálmsson
  • Speech based cognitive workload monitoring model based on pattern recognition methods (2013) - Eydís Huld Magnúsdóttir

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