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Applied Computer Science - Master


Duration:2 År
Credits (ECTS):120
Qualification:Master of Science in Applied Computer Science / 'Sivilingeniør'
Admission requirements:A relevant undergraduate Bachelor Engineering programme in Computer Science or equivalent with minimum 25 credits mathematics, 5 credits statistics, 7,5 credits physics.
Application deadline:Nordic applicants: 15 April, EU/EEA + Swiss applicants: 1 March, Non-EU/EEA applicants: 15 November
Application code:Nordic applicants: 4600
EU/EEA + Swiss applicants: 7143
Non-EU/EEA applicants: 9008

Programme description

After completing this study, you will have the prerequisites to develop advanced computer games, virtual reality and create realistic simulations, such as collisions, rigid bodies, inverse kinematics and fluid mechanics. As a student you will benefit from the close bonds Narvik has to national and international research partners and our professional lab facilities. Throughout the studies you will build a strong and competitive fundament as a technical programmer and developer of advanced software and learning systems. The teaching activities are driven by active research groups within the fields of AI, geometric modeling and applied mathematics. This can serve as a basis for:

After completing the diploma thesis on a selected topic, you are equipped with a comprehensive knowledge set in dealing with technical and managerial challenges, which makes you attractive to companies within many industries. Former students have generally found exciting opportunities as experts or leaders in the most technologically advanced companies or within academia.

Programme structure

10 ects 10 ects 10 ects
1. sem. (autumn) DTE-3611 Algorithms - Design and Analysis - 10 stp. DTE-3801 Partial differential equations - 5 stp. MAT-3800 Linear Algebra II - 5 stp. MAT-3801 Numerical Methods - 5 stp. MAT-3802 Discrete Mathematics with Game- and Graph Theory - 5 stp.
2. sem. (spring) DTE-3607 Systems Programming for Computational Engineering - 10 stp. DTE-3604 Applied Geometry and Special Effects - 5 stp. DTE-3608 Artificial Intelligence and Intelligent Agents - Concepts and Algorithms - 5 stp. END-3607 Geometric Modelling - 5 stp. TEK-3501 Innovation and Economy - 5 stp.
3. sem. (autumn) DTE-3601 Simulations - 5 stp. DTE-3605 Virtual reality, Graphics and Animation - project - 5 stp. DTE-3606 Artificial Intelligence and Intelligent Agents- project - 5 stp. DTE-3609 Virtual Reality, Graphics and Animation - theory - 5 stp. DTE-3612 FEM theory and implementation - 5 stp. TEK-3500 Innovation and Management - 5 stp.
4. sem. (spring) DTE-3900 Master's Thesis – Applied Computer Science - 30 stp.

Learning outcomes

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

Kunnskaper / knowledge:

Ferdigheter / skills:

Generell kompetanse / general competence:

Teaching and assessment

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.

Language of instruction

The language of the study program is English. This will apply to teaching, syllabus material and examinations. There is also support for Norwegian language.

Job prospectives

The Master's degree in Applied Computer Science qualifies for work internationally within a range of industries and diciplines, ranging from software engineering in general to development of domain-specific special software. Some examples include:

Access to further studies

UIT Campus Narvik has a ph.d. education within the field of Engineering Science and Technology. Students may be qualified for admission to this PhD programme click here to see these.
After successful completion of the degree programme, depending on satisfactory grades in the Master's and Bachelor's degree.