Applied Computer Science - Master

Refresher course:
In Week 33 a two-days refresher course in linear algebra is offered. In this course, central concepts and methods from previous linear algebra courses will be repeated. Experiences from previous years are that students who participate in this refresher course benefit greatly from this in SMN6190 Linear Algebra II.

All teaching on this program takes place in English.

The study program is structured with concentrated courses where students work on one subject at a time. This provides for a uniform workload throughout the program. The program is R&D-based, and the professors are often using their own research results in lecturing. Most courses are based on traditional lectures, theoretical exercises, laboratory exercises, excursions, and self-studies. Exercises can be either voluntary or mandatory and performed individually or in teams.

Mandatory project works are also often used in connection to the different subjects. The projects are normally executed by student teams. The teams are preparing project reports that are presented to the professors, examiners and sometimes also to the fellow students. The projects may be based on laboratory experiments, business cases or similar. Some subjects are entirely based on a project supervised by the actual professor.

The final thesis is characterized by a topic of scientific nature and can be performed in close cooperation with a relevant industry partner and/or based on an existing R&D-project. The work is divided into two phases where the first phase normally consists of a literature study in order to provide the students with a stronger theoretical basis to execute phase two. Phase two is the main part of the thesis and is a dedicated R&D task where the students will gain in-depth knowledge of the chosen topic. The result of the work is to be presented in the form of a scientific report in order to document all work that is performed in connection with the thesis. The work is normally performed individually, but in special cases by a group of two or three students. There will be milestone status meetings and presentations during the working period, and the final results are presented to faculty staff and fellow students.

Form of assessment

Throughout the program, various forms of evaluation methods are used in connection to the different subjects. In most cases individual written examinations are used as the main form of subject grading. In addition, mandatory projects (individually or in groups) are used in order to set the final grade.

Some subject evaluations are based on a portfolio of performed assignments, while others are based on project works in which the grades are determined based on written reports, sometimes followed by oral presentations.

The grading of the final master thesis is based only on the written report with relevant attachments.

Further information about the evaluation method of each subject is defined in the respective course description, but the grading is normally based on the ECTS system with grades A, B, C, D, E and F, where F is "not passed".

Mandatory safety training in health, security and environment (HSE)

All students must complete mandatory safety training before they are allowed access and given permission to work in laboratories, workshops and the like. This also goes for participation in fieldwork/research cruises and similar. Please contact your immediate supervisor for list of mandatory courses.

A relevant undergraduate Bachelor Engineering programme in Computer Science or equivalent with minimum 25 credits mathematics, 5 credits statistics, 7,5 credits physics.

Admission requirements:
A relevant undergraduate Bachelor degree in Engineering programme in computer science or equivalent.

In addition, the following requirements must be met:

• minimum 25 credits in mathematics (equivalent to Mathematical Methods 1, 2 og 3)
• 5 credits in statistics
• 7,5 ects i physics on a higher level is required.

The requirement for physics can be covered by 7.5 credits in physics, building physics, fluid mechanics, thermodynamics and/or mechanics of materials.

Applicants from within the Nordic countries

The application deadline is 15. april - application code 4600

The study is 2 years long, but with the possibility of an arranged course over 4 years for Norwegian/Nordic applicants.

If you don't have enough mathematics and/or physics to qualify for the master's degree, you can take one of these courses in the first semester at UiT in Narvik: TEK-2800 Mathematics 3 (5 ects) and/or TEK-2801 Physics 2 (5 ects)

The physics requirement of 7.5 credits. is considered fulfilled for all university engineering educations that follow the NRT's (Norwegian Council for Technology) national framework plan.

Applicants with a bachelor engineering degree from another field may take a qualifying one year course in Computer Science - Videreutdanning Datateknikk. (Narvik)

Applicants from outside the Nordic countries:
Applicants with education from non-Nordic countries must document English language proficiency. You will find more information of English language requirements ++here: https://en.uit.no/admission#v-pills-735946

The application deadline is
November 15th for non-EU/EEA applicants (application code 9008)
1 March for EU/EEA + Swiss applicants (application code 7143)

You will find more information about international admission here.

Non-EU students must be prepared to pay tuition fees, more information here

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Søkere fra Norge/nordiske land:

Søknadfrist er 15. april for opptak til høstsemesteret

Studiet er 2-årig, men med mulighet for tilrettelagt løp over 4 år.

Søking via UiTs Søknadsweb, søknadskode 4600

Opptakskrav Data/IT, sivilingeniør - master:

Bachelorgrad i ingeniørfag eller tilsvarende innen fagområdet datateknikk eller andre tilsvarende hovedfag.

Søkere med en bachelor ingeniørgrad fra et annet fagområde kan ta et kvalifiseringsår i datateknikk Videreutdanning Datateknikk. (Narvik).

I tillegg må følgende krav være oppfylt:

Det kreves minimum

• 25 studiepoeng i matematikk,tilsvarende Matematikk 1, 2 og 3
• 5 studiepoeng i statistikk
• 7,5 fag i fysikk på høyere nivå.
  Kravet til fysikk kan dekkes av 7,5 studiepoeng i fysikk, bygningsfysikk, fluidmekanikk, termodynamikk og/eller fasthetslære.

Fysikk-kravet på 7.5 stp. anses oppfylt for alle bachelor ingeniør-/høgskoleingeniørutdanninger som følger NRTs nasjonale rammeplan, eller kombinasjon av enkeltemner med innhold som samlet gir 7.5 stp. fysikk.

Dersom du har for lite matematikk og/eller fysikk for å bli kvalifisert til master i teknologi, kan du ta ett av disse kursene i løpet av første semester ved UiT i Narvik: TEK-2800 Matematoll 3 (5 studiepoeng) og/eller TEK-2801 Fysikk 2 (5 studiepoeng)

Søkere med en bachelor ingeniørgrad fra et annet fagområde kan ta et kvalifiseringsår i datateknikk Videreutdanning Datateknikk. (Narvik).

Her finner du all informasjon knyttet til søking og opptak.

After completion of the programme the candidate is possessing the following learning outcome.

Kunnskaper / knowledge:

• The candidate will have necessary basic knowledge as well as expertise knowledge to challenging jobs in research, industrial development and other areas. The knowledge is on a level such that the candidate can analyze problems and apply the knowledge in new areas.
• The candidate will have thorough knowledge of the different theories and methodologies of software development and especially computer programming, including advanced object oriented programming and meta-programming, based on knowledge of mathematics and technology applicable to both general-purpose programming and especially to technical applications on different platforms.
• The candidate will have special knowledge in the combined fields of geometric modelling and programming, geometry combined with artificial intelligence and programming, simulations/computations and programming, and geometry and computer graphics.

Ferdigheter / skills:

• The candidate will work independently with problems, by analyzing the problems and make plans for solving them.
• The candidate will be able to independently make large and/or complex computer programs that can run on different platforms.
• The candidate can carry out an independent research or development project within the field of computer science under supervision and in accordance with applicable norms for research ethics.
• The candidate can find, analyze and deal critically with various sources of information and use them in development and in argumentation.
• The candidate will be able to write a longer continuous report and present research clearly in written work and communicate knowledge in general orally and in writing.

Generell kompetanse / general competence:

• The candidate is influenced to maintain and develop curiosity and values such as openness, precision and the importance of separating between knowledge and opinions.
• The candidate can communicate about academic issues, analysis and conclusions in the field of computer science by using the relevant terminology to communicate with specialists and also with the general public.
• The candidate can contribute to new thinking and innovation processes in cooperation with experts from other fields.