Electrical engineering

Tilhører studiet:
Physics - master
Foto: Colourbox
Foto: Colourbox

Electrical engineering

Tilhører studiet:
Physics - master
Application deadline
Nordic applicants: 15 April/1 November
International applicants: 1 December
How to apply?

An oil-pipeline in the ocean is leaking; can you use satellite imaging to determine how large the oil-spill is? How can an optical sensor detect the gas leaking into the sea before it becomes a blow-out? How do you kill cancer cells inside the human body with heat while leaving healthy tissue unharmed? Electrical engineering is about developing solutions to the technical challenges of our society. Data analysis, for example, enable face detection in digital cameras and modern spam filters. This Master's degree program gives you a broad education in application of state-of-the-art technology to solve real-world problems.

Spørsmål om studiet

Kirsti Merete Johannessen .jpg
Kirsti Merete Johannessen

Studiekonsulent / Administrasjon

Electrical Engineering is a discipline of the Master's degree programme in physics.

Electrical engineering provides solutions to the ever-increasing advanced technological demands of modern society. Technology and industry is rapidly developing. Electrical engineering education and competence is at the core of this transition, and will provide a solid foundation for employment in several growth industries. Sensors are essential, for example in medicine and biological research, for new materials, and for oil and gas. This requires knowledge about optics, nanotechnology, transducers, and imaging techniques. In society, there is a virtual explosion of data from websites, images, speech, genes, etc., requiring innovative data analysis based on machine learning, pattern recognition, statistics, and signal- and image analysis implemented in scalable computer programs.

The Electrical Engineering discipline offers specialisation in five different fields of research:

  • Optics
  • Nanoscopy
  • Microwave techniques
  • Ultrasound
  • Machine learning

In Tromsø, electrical engineering education is based on a strong research group covering all these fields. There are good facilities for laboratory work with modern equipment.

The Electrical Engineering group covers a wide range of application areas, some of which are the oil and gas sector, bio-medical physics and imaging, super-resolution optical microscopy/optical nanoscopy, and health analytics:

  • The petroleum oil and gas industry is of key national importance. The majority of the remaining petroleum resources are located offshore northern Norway, leading to new challenges with respect to equipment operating in a cold and harsh climate. The Electrical Engineering group is leading a consortium of research institutions and oil companies performing research on and development of the next generation cold-water subsea sensors. Petroleum activity in the north also poses environmental issues since spills may affect one of Europe's most important breeding areas for fish. The Electrical Engineering group is developing data analysis methods for early detection of errors in the petroleum production line.
  • Bio-medical physics and imaging research in the Electrical Engineering group is concentrated on development of new antenna concepts capable of both producing hyperthermia and receiving extremely weak radiated electromagnetic waves containing information on the tissue temperature distribution (microwave radiometry). Hyperthermia is an anti-tumoral therapeutic modality. It consists of selective heating of tumors to temperatures above 42 degrees Celsius, while maintaining healthy tissue nearer to physiological temperatures.
  • Optical Nanoscopy research in the Electrical Engineering Group is at the crossroads of Biology and Physics. The group is developing novel fluorescence optical nanoscopy techniques for real-time imaging of sub-cellular organelles (50-100 nm) in living cells. The experimental facilities consist of state-of-the-art commercial high-speed structured illumination microscopy (SIM) and direct stochastic optical reconstruction microscopy (dSTORM) and custom build epi-fluorescence microscopy/nanoscopy based on optical waveguides.
  • Health Analytics in the Electrical Engineering group is focused towards machine learning and data mining in electronic health records (where all the data recorded for each patient in the healthcare system is stored), for personalized medical diagnosis support, for discovering hidden comorbidity patterns, and for decision support for clinicians. Researchers from the Electrical Engineering group have especially been involved in projects using data from the University Hospital of North Norway related to colorectal cancer and gastrointestinal surgery.

Compulsory courses in the Electrical Engineering discipline:

  • FYS-3900 Master's thesis in physics

Students are required to choose at least four of the following 3000-level courses:

  • FYS-3007 Microwave techniques
  • FYS-3009 Photonics
  • FYS-3011 Detection theory
  • FYS-3012 Pattern recognition
  • FYS-3024 Biomedical instrumentation and imaging
  • FYS-3029 Optical nanoscopy
  • FYS-3810 Individual special curriculum
  • STA-3001 Computer-intensive statistics
  • STA-3002 Multivariable statistical analysis
  • STA-3003 Nonparametric inference

Optional courses in the Electrical Engineering discipline may be chosen from those 3000-level courses listed above, that were not chosen among the four required 3000-level courses.

Additional relevant optional courses for Electrical Engineering are:

  • FYS-2006 Signal processing
  • FYS-2007 Statistical signal theory
  • FYS-2008 Measurement techniques
  • FYS-2010 Digital image processing
  • FYS-3001 Earth observation from satellites
  • FYS-3023 Environmental monitoring from satellite
  • * AUT-2006 Elektronikk
  • * INF-2200 Datamaskinarkitektur og -organisering
  • * INF-2201 Operativsystem
  • * MAT-2100 Kompleks analyse
  • MAT-2200 Differential equations
  • MAT-2201 Numerical methods
  • MAT-2202 Optimization models
  • MAT-2300 Algebra 1
  • MAT-3113 Nonlinear partial differential equations
  • MAT-3114 Algebraic topology
  • MAT-3200 Mathematical methods
  • STA-2001 Stochastic processes
  • STA-2002 Theoretical statistics
  • * STA-2003 Tidsrekker

* = Currently only offered in Norwegian.

Optional courses should be determined in collaboration with your supervisor in connection with choice of research topic in the Master's thesis. Other optional courses may be approved on application or if recommended by your supervisor. An individual special curriculum or project paper may also be part of the degree.
If the Master's thesis involves work in a laboratory, in the field or on a research cruise, it is mandatory to conduct a course in safety education prior to commencing the thesis.

Knowledge - The candidate:

  • has a solid basis in natural sciences in general, and in particular in physics
  • has advanced knowledge of theory and methods in one of the offered disciplines of physics
  • has thorough knowledge about mathematical and statistical methods for analysis of physical problems
  • can apply knowledge on new areas of research in one of the offered disciplines of physics
  • has good knowledge of scientific method and knows how to conduct a research experiment
  • can analyse and assess scientific literature and research in the field of physics

Skills - The candidate:

  • is able to use scientific measurement equipment and carry out advanced experiments
  • is able to evaluate and analyse measurement data in a critical manner
  • is able to assess sensors and measurement devices and evaluate and quantify their error sources
  • is able to use programming tools and advanced software for solving physical problems numerically
  • is able to work independently with problem solving following scientific method
  • can evaluate and analyse published theories, methods and experiments in the physics literature
  • can carry out an independent, limited research or development project under supervision in physics or related areas

Competences - The candidate:

  • displays good communication skills, oral and written, in the presentation of scientific work for both the general public and for the specialists in the field
  • can analyse academic, professional and research ethical problems in the field of physics
  • displays good working habits and follows the code of ethics in scientific work
  • is able to continue a career within research, teaching, production, development and technical professions in the society
  • can produce a well-structured presentation of an extensive independent scientific work
  • can contribute to new thinking and innovation processes in the field of physics

Specializing in eletrical engineering at UiT gives you the competence to work with:

  • Nanotechnology
  • Laboratory Engineering
  • Micro and Nanoscopy
  • Sensortechnology
  • Health Science
  • Statistical/Data Analysis
  • Machine Learning

Term 10 ects 10 ects 10 ects
1. sem. (autumn)
Obligatory courses (20 ECTS credits)
Optional course (10 ECTS credits)
2. sem. (spring)
FYS-3900 Master's thesis in physics (10 of 60 ECTS)
Obligatory course (10 ECTS credits)
Optional course (10 ECTS credits)
3. sem. (autumn)
FYS-3900 Master's thesis in physics (20 of 60 ECTS)
Obligatory course (10 ECTS credits)
4. sem. (spring)
FYS-3900 Master's thesis in physics (30 of 60 ECTS)

Exchange studies abroad or at the University Centre in Svalbard can be recognised in the Master's degree if recommended by your supervisor, and only if the external courses are validated prior to departure. The period of time for the exchange studies depends on the individual educational plan, and should be planned in collaboration with the student advisor and the students supervisor.

Application deadline
Nordic applicants: 15 April/1 November
International applicants: 1 December
How to apply?