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Applied Computer Science - Master favoritt ikon

Universitet og høgskole
This study is a perfect match for those who are interested in computer graphics, artificial intelligence (AI) and simulations.

Studienivå

Master, 2 år

Organisering

  • Undervising ved lærestaden

Studiepoeng

120

Semester

4

Om studiet

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:

  • Artificial intelligence (AI), machine learning and intelligent agents
  • Geometric modeling, virtual reality, computer graphics and animations
  • Object-oriented programming, meta- and GPU programming
  • The development of large software systems, and massive multipurpose systems

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.

Form of teaching

The program utilizes problem-based learning. This means that theoretical instruction is followed by projects, in which students learn by applying the theory.

Throughout the program various forms of evaluation methods are used in connection to the different subjects. In some cases individual written examinations are used as the subject grading.

Some subject-evaluations are based on project works in which the grades are determined based on written reports, program codes and resulting computer programs together with an oral examination where the students makes a demonstration, describes why and what they have done and answer questions about the syllabus in general.

The grading of the final master thesis is based only on the written report and the material delivered together with it.

Further information about the evaluation method of each subject is defined in the individual course descriptions. However, 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.

Formal prerequisites

A relevant undergraduate Bachelor Engineering programme in Computer Science or equivalent with minimum 30 credits mathematic/statistics topics

Admission

A relevant undergraduate Bachelor degree in Engineering programme in computer science or equivalent with a minimum of 30 credits mathematics/statistics topics.

Knowledge in Physics (7,5 - 10 ects) on a higher level is recommended to be able to follow different courses on the master programme. Some of the courses in the bachelor programme have a certain amount of physics included and can be accepted.
Applicants from Norway or Nordic countries:
- The application deadline for Norwegian and other Nordic applicants is April 15th for admission to the autumn semester
Applicants from outside the Nordic countries:
- The application deadline for applicants outside the Nordic countries is December 1st for admission to the autumn semester.

Learning objectives

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

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.

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.

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.

Career opportunities

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:
  • Software development in general
  • Virtual reality and simulators
  • Graphical visualization systems
  • Development of domain specific software solutions, e.g: oil and gas, CAD/CAM
  • Computer games industry
  • Machine learning and development of artificial intelligence systems
  • Academic career within research and development

Kvalifikasjon/tittel

Master i teknologi