- Are you interested in physics?
- Are you excited by the idea of a practical, research-based graduate programme?
- Do you want to use physics to solve engineering challenges?
- Would you like to work in a high-tech industry?
The Master's programme in engineering physics is a heavily research-based programme, compared to programmes at universities in other countries.
Students' research projects are completed either at the University of Iceland or as a collaboration between the University and research institutes or companies working in areas such as technology, manufacturing, or energy. Research projects will require an in-depth knowledge of physics and how to apply that knowledge to solve engineering challenges.
In order for an applicant to be accepted onto the programme, there must be a suitable academic supervisor available among the permanent members of teaching staff at the Department.
Programme structure
The programme is 120 ECTS and is organised as two years of full-time study, though it is possible to study part-time and complete the programme over a longer period.
The programme is made up of:
- Elective courses, 60 ECTS
- Master's thesis, 60 ECTS
Organisation of teaching
Courses are taught in Icelandic unless it is explicitly noted that they are taught in English. The same applies to examinations, which may be either written or oral. Assignments may also contribute towards a student's final grade.
The Master's thesis should generally be written in English.
Students often take part of the programme at a university abroad.
Main objectives
The programme aims to prepare students for a range of careers in research, development and innovation, as well as provide them with a strong foundation for doctoral studies.
Other
Completing a Master's degree in engineering physics allows you to apply for doctoral studies.
- A BS degree or equivalent with minimum average grade of 6.5. In addition to the BS degree there may be some preliminary course requirements before starting the actual MS programme. Acceptance is dependent on the availability of a supervisor within the department.
- All international applicants, whose native language is not English, are required to provide results of the TOEFL (79) or IELTS (6.5) tests as evidence of English proficiency.
- Applicants are asked to submit a letter of motivation, 1 page, where they should state the reasons they want to pursue graduate work, their academic goals and a suggestion or outline for a final paper.
- Letters of recommendation (2) should be submitted. These should be from faculty members or others who are familiar with your academic work and qualified to evaluate your potential for graduate study. Please ask your referees to send their letters of recommendation directly to the University of Iceland electronically by e-mail (PDF file as attachment) to transcript@hi.is.
- CV
- Statement of purpose
- Reference 1, Name and email
- Reference 2, Name and email
- Supervisor/supervising teacher at the University of Iceland
- Certified copies of diplomas and transcripts
- Proof of English proficiency
Further information on supporting documents can be found here
Programme structure
Check below to see how the programme is structured.
This programme does not offer specialisations.
- Year unspecified
- Whole year courses
- Mentor in Sprettur
- Fall
- Final project
- Thesis skills: project management, writing skills and presentation
- Not taught this semesterComputational Physics F
- Quantum Mechanics 1
- Condensed Matter Physics 1
- Not taught this semesterComputational Chemistry F
- Not taught this semesterQuality Management
- Corrosion
- Spring 1
- Final project
- Microfabrication Technology
- Not taught this semesterSolid State Physics 2
- Literature Study for the Master's Degree in Engineering Physics
- Modern Experimental Physics
- Introduction to Nanotechnology
- Not taught this semesterInnovation, Product Development, Marketing
- Biochemistry 4
- Cell Biology II
- Not taught this semesterIntroduction to Systems Biology
- Not taught this semesterEngineering Design Processes
- Mechatronics
- Computer Aided Design
- Computational Fluid Dynamics
Mentor in Sprettur (GKY001M)
In the course, the student's task consists in being a mentor for participants that are upper secondary school students and university students in the project "Sprettur". Mentors' main role is to support and encourage participants in their studies and social life. As well as creating a constructive relationship with the participants, being a positive role model, and participating in events organized in Sprettur. The mentor role centers around building relationships and spending meaningful time together with the commitment to support participants.
Sprettur is a project that supports students with an immigrant or refugee background who come from families with little or no university education. The students in this course are mentors of the participants and are paired together based on a common field of interest. Each mentor is responsible for supporting two participants. Mentors plan activities with participants and spend three hours a month (from August to May) with Sprettur’s participants, three hours a month in a study group and attend five seminars that are spread over the school year. Students submit journal entries on Canvas in November and March. Diary entries are based on reading material and students' reflections on the mentorship. Compulsory attendance in events, study groups, and seminars. The course is taught in Icelandic and English.
Students must apply for a seat in the course. Applicants go through an interview process and 15-30 students are selected to participate.
See the digital application form.
More information about Sprettur can be found here: www.hi.is/sprettur
Final project (EÐL442L)
Final project
Thesis skills: project management, writing skills and presentation (VON001F)
Introduction to the scientific method. Ethics of science and within the university community.
The role of the student, advisors and external examiner. Effective and honest communications.
Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.
Computational Physics F (EÐL114F)
Introduction to how numerical analysis is used to explore the properties of physical systems. Programming environment and graphical representation. The application of functional bases for solving models in quantum and statistical mechanics. Communication with Linux-clusters and remote machines. The course is taught in English or Icelandic according to the needs of the students.
Programming language: FORTRAN-2008 with OpenMP directives for parallel processing.
Quantum Mechanics 1 (EÐL509M)
The postulates and formalism of quantum mechanics. One-dimensional systems. Angular momentum, spin, two level systems. Particles in a central potential, the hydrogen atom. Approximation methods. Time independent and time dependent perturbation. Scattering.
Condensed Matter Physics 1 (EÐL520M)
The course is an introduction to some basic concepts of condensed matter physics. Curriculum: Chemical bonds, crystal structure, crystal symmetry, the reciprocal lattice. Vibrational modes of crystals, phonons, specific heat, thermal conductivity. The free electron model, band structure of condensed matter, effective mass. Metals, insulators and semiconductors. The course includes three labs.
Computational Chemistry F (EFN115F)
Methods for calculating and predicting properties of matter and the rate of transitions. Students will learn to use software for setting up and carrying out calculations of various organic and inorganic compounds and to interpret
the results for deeper insight and understanding of chemistry. Among the methods that will be introduced for calculating electron distribution are Hartree-Fock, density functional theory and perturbation theory (MP2). The compromises that need to be made in choosing basis sets and level of theory will be discussed. Among methods used to calculate structure of molecules and movement of atoms are minimization techniques, classical dynamics, vibrational mode analysis, Monte Carlo and transition state theory. The coursework includes laboratory exercises involving computer calculations, including individual projects and computer programming.
Quality Management (IÐN101M)
Organization and management systems. The systems approach. Quality management, quality concepts. Historical development of quality management. Quality cost. Quality in manufacturing. x, R, p, c and cusum-chart. Statistical quality control. Tests of hypotheses. Acceptance sampling - OC curves. Inspection planning. Quality systems and quality assurance. Quality handbook and organizing for quality. ISO 9001. Total Quality Management, improvement step by step, motivations theories. Quality tools. Practical assignment: Designing a quality system for a company.
Corrosion (VÉL501M)
Basic thermodynamic and electrochemical principles that cause corrosion. Procedures of electrochemical measurements used to investigate corrosion behavior. Methods of corrosion protection and prevention, materials selection and design.
The course is taught every other year on even numbered years.
Final project (EÐL442L)
Final project
Microfabrication Technology (EÐL523M)
Integrated circuits, history and future trends. Solid state electronics, the MOS-transistor and CMOS. Integrated circuit fabrication, crystal growth, oxidation, doping, diffusion, ion implantation, lithography, deposition and etching of thin fi ms, microelectromechanical systems (MEMS).
Solid State Physics 2 (EÐL206M)
The goal is to introduce the limits of single particle models of condensed matter and explore particle interactions. Curriculum: Electric- and magnetic susceptibility in insulating and semiconducting materials. Electron transport, the Boltzmann equation and the relaxation time approximation. Limits of single particle models. Interactions and many particle approximations. Exchange interaction and magnetic properties of condensed matter, Heisenberg model, spin waves. Superconductivity, the BCS model and the Ginzburg-Landau equation.
Literature Study for the Master's Degree in Engineering Physics (EÐL222F)
The supervising committee and the MS-student meet for one semester on a weekly basis to discuss research articles, review articles, and parts of books selected by the committee for that purpose. The reading material shall be related to the student's field of research, but without overlapping with his research project, so as to broaden the horizons of the student. The course is completed with a short thesis on the subject and an oral examination.
Modern Experimental Physics (EÐL616M)
Presentation of important techniques used in experimental physics and of various phenomena related to the subject matter of the second and third year of the Physics curriculum. Six extensive experiments are made, most of which are related to active research in experimental physics at the Science Institute of the University of Iceland. The course emphasizes independence in carrying out the experiments, data analysis and literature search.
Introduction to Nanotechnology (EÐL624M)
Nanostructures and Nanomaterials, Nanoparticles, Nanowires, Thin films, thin film growth, growth modes, transport properties. Characterization of nanomaterials, Crystallography,Particle Size Determination, Surface Structure, Scanning Tunneling Microscope, Atomic Force Microscope, X-ray diffraction (XRD), X-ray reflectometry (XRR), Scanning Electron Microscpe (SEM), and Transmission Electron Microscopy (TEM). Scaling of transistors, MOSFET, and finFET. Carbon Nanoscructures, Graphene and Carbon nanotubes. Lithography. Nanostructred Ferromagnetism. Nano-optics, Plasmonics, metamaterials, cloaking and invinsibility. Molecular Electronics.
Innovation, Product Development, Marketing (IÐN202M)
An insight into the structure of innovation, product development and marketing and how to use this methodology as a tool of management in industrial companies. Theory and practical methods of innovation, product development and marketing. Training in project management and how to run integrated projects covering those three areas by solving realistic problems.
Biochemistry 4 (LEF617M)
This course focuses on methodology and recent innovations in biochemistry, emphasizing both analytical and computational techniques. It is divided into several modules, each taught by experts in their respective fields. While lectures form the core of the material, additional resources such as articles or book chapters may be assigned when appropriate. Practical demonstrations of research equipment may also be included. Students are expected to submit several written assignments throughout the semester.
The course will explore recent research in various specialized areas of biochemistry, and the content of the modules is regularly updated.
Topics covered may include single-molecule spectroscopy, protein mass spectrometry, structural biochemistry, binding affinity and thermodynamics, enzymology, and computational biochemistry.
Cell Biology II (LÍF614M)
The emphasis is on research articles. Resent research in various field with links to cell biology are included but can vary between years. For each lecture max three research articles are included.
Each student gives a seminar on one research article with details on methods and results. The students write a report (essay) on the article and discusses the results in a critical way.
Examples of topics included in the course: innate immunity, prions, the proteins pontin and reptin, polarized epithelium, development of trachea, data analyses and gene expression, autophagy, the origin of the nucleus.
Introduction to Systems Biology (LVF601M)
Systems biology is an interdisciplinary field that studies the biological phenomena that emerge from multiple interacting biological elements. Understanding how biological systems change across time is a particular focus of systems biology. In this course, we will prioritize aspects of systems biology relevant to human health and disease.
This course provides an introduction to 1) basic principles in modelling molecular networks, both gene regulatory and metabolic networks; 2) cellular phenomena that support homeostasis like tissue morphogenesis and microbiome resilience, and 3) analysis of molecular patterns found in genomics data at population scale relevant to human disease such as patient classification and biomarker discovery. In this manner, the course covers the three major scales in systems biology: molecules, cells and organisms.
The course activities include reading and interpreting scientific papers, implementation of computational algorithms, working on a research project and presentation of scientific results.
Lectures will comprise of both (1) presentations on foundational concepts and (2) hands-on sessions using Python as the programming language. The course will be taught in English.
Engineering Design Processes (VÉL203M)
Background for design and engineering design process. Conceptual design, need analysis, specifications, boundary conditions and evaluation criteria. Embodiment and detailed design. CAD system and development of computer graphics. Wire frame model, surface and solid models. Design for reliability, safety and environmental protection.
Mechatronics (VÉL205M)
Mechanical systems and mechatronics system elements. Mechanism, motors, drives, motion converters, sensors and transducers. Signal processing and microprocessor.
Computer Aided Design (VÉL206M)
In this course students are introduced to the basic concepts and methods for parametric representation of curves such as the Bezier-, Hermite- and NURBS curves. Students will learn about the methods for representing three-dimensional wireframe-, solid- and surface models. The course will cover the use of parameters when developing and creating three-dimensional modeling, the creation of assembly drawings using mating operators and how different engineering software solutions can communicate.
The course provides a good fundamental overview of the available engineering software solutions – their advantages and limitations – and the students will learn about the current trends in their field, e.g. in the analysis, simulation, prototyping and manufacturing. The current trends will be indroduced through guest lectures, company visits and a mini-seminar where the students write articles and present new and exciting research or new techniques (based on peer-review papers).
Concurrently with the lectures, students work on an unstructured engineering project where they will engineer and build a working prototype, write the results in a report and present the results.
Computational Fluid Dynamics (VÉL215F)
The main purpose is to develop methods of predicting numerical solutions in fluid mechanics and heat transfer. Especially of predicting boundary layer phenomena and modelling of turbulence transport properties. Both finite volume and finite difference methods are demonstrated. Solution of non-linear equations and stability criterium. Emphasis is laid on solution of practical problems.
The course is taught every other year on odd numbered years.
- Whole year courses
- Course Description
In the course, the student's task consists in being a mentor for participants that are upper secondary school students and university students in the project "Sprettur". Mentors' main role is to support and encourage participants in their studies and social life. As well as creating a constructive relationship with the participants, being a positive role model, and participating in events organized in Sprettur. The mentor role centers around building relationships and spending meaningful time together with the commitment to support participants.
Sprettur is a project that supports students with an immigrant or refugee background who come from families with little or no university education. The students in this course are mentors of the participants and are paired together based on a common field of interest. Each mentor is responsible for supporting two participants. Mentors plan activities with participants and spend three hours a month (from August to May) with Sprettur’s participants, three hours a month in a study group and attend five seminars that are spread over the school year. Students submit journal entries on Canvas in November and March. Diary entries are based on reading material and students' reflections on the mentorship. Compulsory attendance in events, study groups, and seminars. The course is taught in Icelandic and English.
Students must apply for a seat in the course. Applicants go through an interview process and 15-30 students are selected to participate.
See the digital application form.
More information about Sprettur can be found here: www.hi.is/sprettur
Face-to-face learningThe course is taught if the specified conditions are metPrerequisitesAttendance required in class- Fall
EÐL442LFinal projectMandatory (required) course0A mandatory (required) course for the programme0 ECTS, creditsCourse DescriptionFinal project
Self-studyPrerequisitesPart of the total project/thesis creditsVON001FThesis skills: project management, writing skills and presentationElective course4Free elective course within the programme4 ECTS, creditsCourse DescriptionIntroduction to the scientific method. Ethics of science and within the university community.
The role of the student, advisors and external examiner. Effective and honest communications.
Conducting a literature review, using bibliographic databases and reference handling. Thesis structure, formulating research questions, writing and argumentation. How scientific writing differs from general purpose writing. Writing a MS study plan and proposal. Practical skills for presenting tables and figures, layout, fonts and colors. Presentation skills. Project management for a thesis, how to divide a large project into smaller tasks, setting a work plan and following a timeline. Life after graduate school and being employable.Face-to-face learningOnline learningPrerequisitesNot taught this semesterEÐL114FComputational Physics FElective course10Free elective course within the programme10 ECTS, creditsCourse DescriptionIntroduction to how numerical analysis is used to explore the properties of physical systems. Programming environment and graphical representation. The application of functional bases for solving models in quantum and statistical mechanics. Communication with Linux-clusters and remote machines. The course is taught in English or Icelandic according to the needs of the students.
Programming language: FORTRAN-2008 with OpenMP directives for parallel processing.
Face-to-face learningPrerequisitesCourse DescriptionThe postulates and formalism of quantum mechanics. One-dimensional systems. Angular momentum, spin, two level systems. Particles in a central potential, the hydrogen atom. Approximation methods. Time independent and time dependent perturbation. Scattering.
Face-to-face learningPrerequisitesEÐL520MCondensed Matter Physics 1Elective course8Free elective course within the programme8 ECTS, creditsCourse DescriptionThe course is an introduction to some basic concepts of condensed matter physics. Curriculum: Chemical bonds, crystal structure, crystal symmetry, the reciprocal lattice. Vibrational modes of crystals, phonons, specific heat, thermal conductivity. The free electron model, band structure of condensed matter, effective mass. Metals, insulators and semiconductors. The course includes three labs.
Face-to-face learningPrerequisitesNot taught this semesterEFN115FComputational Chemistry FElective course10Free elective course within the programme10 ECTS, creditsCourse DescriptionMethods for calculating and predicting properties of matter and the rate of transitions. Students will learn to use software for setting up and carrying out calculations of various organic and inorganic compounds and to interpret
the results for deeper insight and understanding of chemistry. Among the methods that will be introduced for calculating electron distribution are Hartree-Fock, density functional theory and perturbation theory (MP2). The compromises that need to be made in choosing basis sets and level of theory will be discussed. Among methods used to calculate structure of molecules and movement of atoms are minimization techniques, classical dynamics, vibrational mode analysis, Monte Carlo and transition state theory. The coursework includes laboratory exercises involving computer calculations, including individual projects and computer programming.Face-to-face learningPrerequisitesNot taught this semesterIÐN101MQuality ManagementElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionOrganization and management systems. The systems approach. Quality management, quality concepts. Historical development of quality management. Quality cost. Quality in manufacturing. x, R, p, c and cusum-chart. Statistical quality control. Tests of hypotheses. Acceptance sampling - OC curves. Inspection planning. Quality systems and quality assurance. Quality handbook and organizing for quality. ISO 9001. Total Quality Management, improvement step by step, motivations theories. Quality tools. Practical assignment: Designing a quality system for a company.
Face-to-face learningPrerequisitesCourse DescriptionBasic thermodynamic and electrochemical principles that cause corrosion. Procedures of electrochemical measurements used to investigate corrosion behavior. Methods of corrosion protection and prevention, materials selection and design.
The course is taught every other year on even numbered years.
Face-to-face learningThe course is taught if the specified conditions are metPrerequisites- Spring 2
EÐL442LFinal projectMandatory (required) course0A mandatory (required) course for the programme0 ECTS, creditsCourse DescriptionFinal project
Self-studyPrerequisitesPart of the total project/thesis creditsEÐL523MMicrofabrication TechnologyElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionIntegrated circuits, history and future trends. Solid state electronics, the MOS-transistor and CMOS. Integrated circuit fabrication, crystal growth, oxidation, doping, diffusion, ion implantation, lithography, deposition and etching of thin fi ms, microelectromechanical systems (MEMS).
Face-to-face learningPrerequisitesNot taught this semesterEÐL206MSolid State Physics 2Elective course8Free elective course within the programme8 ECTS, creditsCourse DescriptionThe goal is to introduce the limits of single particle models of condensed matter and explore particle interactions. Curriculum: Electric- and magnetic susceptibility in insulating and semiconducting materials. Electron transport, the Boltzmann equation and the relaxation time approximation. Limits of single particle models. Interactions and many particle approximations. Exchange interaction and magnetic properties of condensed matter, Heisenberg model, spin waves. Superconductivity, the BCS model and the Ginzburg-Landau equation.
Face-to-face learningPrerequisitesEÐL222FLiterature Study for the Master's Degree in Engineering PhysicsElective course10Free elective course within the programme10 ECTS, creditsCourse DescriptionThe supervising committee and the MS-student meet for one semester on a weekly basis to discuss research articles, review articles, and parts of books selected by the committee for that purpose. The reading material shall be related to the student's field of research, but without overlapping with his research project, so as to broaden the horizons of the student. The course is completed with a short thesis on the subject and an oral examination.
PrerequisitesEÐL616MModern Experimental PhysicsElective course8Free elective course within the programme8 ECTS, creditsCourse DescriptionPresentation of important techniques used in experimental physics and of various phenomena related to the subject matter of the second and third year of the Physics curriculum. Six extensive experiments are made, most of which are related to active research in experimental physics at the Science Institute of the University of Iceland. The course emphasizes independence in carrying out the experiments, data analysis and literature search.
Face-to-face learningPrerequisitesEÐL624MIntroduction to NanotechnologyElective course8Free elective course within the programme8 ECTS, creditsCourse DescriptionNanostructures and Nanomaterials, Nanoparticles, Nanowires, Thin films, thin film growth, growth modes, transport properties. Characterization of nanomaterials, Crystallography,Particle Size Determination, Surface Structure, Scanning Tunneling Microscope, Atomic Force Microscope, X-ray diffraction (XRD), X-ray reflectometry (XRR), Scanning Electron Microscpe (SEM), and Transmission Electron Microscopy (TEM). Scaling of transistors, MOSFET, and finFET. Carbon Nanoscructures, Graphene and Carbon nanotubes. Lithography. Nanostructred Ferromagnetism. Nano-optics, Plasmonics, metamaterials, cloaking and invinsibility. Molecular Electronics.
Face-to-face learningPrerequisitesNot taught this semesterIÐN202MInnovation, Product Development, MarketingElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionAn insight into the structure of innovation, product development and marketing and how to use this methodology as a tool of management in industrial companies. Theory and practical methods of innovation, product development and marketing. Training in project management and how to run integrated projects covering those three areas by solving realistic problems.
Face-to-face learningPrerequisitesCourse DescriptionThis course focuses on methodology and recent innovations in biochemistry, emphasizing both analytical and computational techniques. It is divided into several modules, each taught by experts in their respective fields. While lectures form the core of the material, additional resources such as articles or book chapters may be assigned when appropriate. Practical demonstrations of research equipment may also be included. Students are expected to submit several written assignments throughout the semester.
The course will explore recent research in various specialized areas of biochemistry, and the content of the modules is regularly updated.
Topics covered may include single-molecule spectroscopy, protein mass spectrometry, structural biochemistry, binding affinity and thermodynamics, enzymology, and computational biochemistry.
Face-to-face learningPrerequisitesCourse DescriptionThe emphasis is on research articles. Resent research in various field with links to cell biology are included but can vary between years. For each lecture max three research articles are included.
Each student gives a seminar on one research article with details on methods and results. The students write a report (essay) on the article and discusses the results in a critical way.
Examples of topics included in the course: innate immunity, prions, the proteins pontin and reptin, polarized epithelium, development of trachea, data analyses and gene expression, autophagy, the origin of the nucleus.
Face-to-face learningPrerequisitesNot taught this semesterLVF601MIntroduction to Systems BiologyElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionSystems biology is an interdisciplinary field that studies the biological phenomena that emerge from multiple interacting biological elements. Understanding how biological systems change across time is a particular focus of systems biology. In this course, we will prioritize aspects of systems biology relevant to human health and disease.
This course provides an introduction to 1) basic principles in modelling molecular networks, both gene regulatory and metabolic networks; 2) cellular phenomena that support homeostasis like tissue morphogenesis and microbiome resilience, and 3) analysis of molecular patterns found in genomics data at population scale relevant to human disease such as patient classification and biomarker discovery. In this manner, the course covers the three major scales in systems biology: molecules, cells and organisms.
The course activities include reading and interpreting scientific papers, implementation of computational algorithms, working on a research project and presentation of scientific results.
Lectures will comprise of both (1) presentations on foundational concepts and (2) hands-on sessions using Python as the programming language. The course will be taught in English.
Face-to-face learningPrerequisitesNot taught this semesterVÉL203MEngineering Design ProcessesElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionBackground for design and engineering design process. Conceptual design, need analysis, specifications, boundary conditions and evaluation criteria. Embodiment and detailed design. CAD system and development of computer graphics. Wire frame model, surface and solid models. Design for reliability, safety and environmental protection.
Face-to-face learningPrerequisitesCourse DescriptionMechanical systems and mechatronics system elements. Mechanism, motors, drives, motion converters, sensors and transducers. Signal processing and microprocessor.
Face-to-face learningPrerequisitesVÉL206MComputer Aided DesignElective course6Free elective course within the programme6 ECTS, creditsCourse DescriptionIn this course students are introduced to the basic concepts and methods for parametric representation of curves such as the Bezier-, Hermite- and NURBS curves. Students will learn about the methods for representing three-dimensional wireframe-, solid- and surface models. The course will cover the use of parameters when developing and creating three-dimensional modeling, the creation of assembly drawings using mating operators and how different engineering software solutions can communicate.
The course provides a good fundamental overview of the available engineering software solutions – their advantages and limitations – and the students will learn about the current trends in their field, e.g. in the analysis, simulation, prototyping and manufacturing. The current trends will be indroduced through guest lectures, company visits and a mini-seminar where the students write articles and present new and exciting research or new techniques (based on peer-review papers).
Concurrently with the lectures, students work on an unstructured engineering project where they will engineer and build a working prototype, write the results in a report and present the results.
Face-to-face learningPrerequisitesVÉL215FComputational Fluid DynamicsElective course7,5Free elective course within the programme7,5 ECTS, creditsCourse DescriptionThe main purpose is to develop methods of predicting numerical solutions in fluid mechanics and heat transfer. Especially of predicting boundary layer phenomena and modelling of turbulence transport properties. Both finite volume and finite difference methods are demonstrated. Solution of non-linear equations and stability criterium. Emphasis is laid on solution of practical problems.
The course is taught every other year on odd numbered years.
Face-to-face learningThe course is taught if the specified conditions are metPrerequisitesAdditional information The University of Iceland collaborates with over 400 universities worldwide. This provides a unique opportunity to pursue part of your studies at an international university thus gaining added experience and fresh insight into your field of study.
Students generally have the opportunity to join an exchange programme, internship, or summer courses. However, exchanges are always subject to faculty approval.
Students have the opportunity to have courses evaluated as part of their studies at the University of Iceland, so their stay does not have to affect the duration of their studies.
A degree in engineering physics can open up opportunities in a wide range of careers. This programme would suit students aiming to work in:
- entrepreneurial businesses
- technology companies
- research and development departments at major companies
This list is not exhaustive.
There is no specific student organisation for this programme, but students meet frequently in the Student Cellar.
Students' comments Students appreciate the University of Iceland for its strong academic reputation, modern campus facilities, close-knit community, and affordable tuition.Helpful content Study wheel
What interests you?
How to apply
Follow the path
Contact us If you still have questions, feel free to contact us.
Engineering and Natural SciencesWeekdays 9 am - 3:30 pmShare