Computational Science and Engineering (master's two years)

Master

In Oslo (Norway)

Price on request

Description

  • Type

    Master

  • Location

    Oslo (Norway)

  • Duration

    2 Years

  • Start date

    Different dates available

In this programme of study you will learn about the development and use of modern IT-tools for analysing and solving problems in science and technology. We emphasize both concrete understanding and mathematical description of these phenomena.

For several hundred years, research scientists have developed mathematical models to help understand how nature functions and how we can create technical constructions. Oil production, mobile phones and television are just a few examples of things that would have been impossible without a deep insight into natural phenomena by means of mathematical modeling. Mathematical models often include complicated equations that may be impossible to solve with pen and paper. But with help from today’s powerful computers and newly developed methods, we can solve highly complicated mathematical models. In this way, we can gain increased insight and understanding of nature and advanced technology. For example, the Norwegian oil industry has extensively used computer simulation to discover how to increase oil production, and this has generated billions in increased income.

Computer simulations of natural phenomena and technological constructions have a central place in this programme. To develop good simulators and understand the phenomena being studied, we emphasise skills in mathematical modeling, mechanics and physics, and programming and visualisation.

Facilities

Location

Start date

Oslo (Norway)
See map

Start date

Different dates availableEnrolment now open

About this course

Candidates holding a Master’s degree in Computational Science and Engineering have a modern education with elements derived from mathematics, engineering, the natural sciences and informatics in various combinations, numerical calculations being the common factor.

During the programme, you will obtain a solid academic foundation and gain broad experience in advanced numerical calculations and in practical problem solving.

With this background you are qualified for modern, technology oriented research- and developmental assignments within a number of sectors.

You may find work in e.g.

research institutions,
oil companies and in
high technology engineering firms.
The IT-sector is also a relevant market for graduates from the programme. There is also a need for people in education and administration.

The study programme provides the candidates with a solid theoretical and methodological foundation and is therefore relevant for further PhD studies (research education) and research.

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Reviews

This centre's achievements

2019

All courses are up to date

The average rating is higher than 3.7

More than 50 reviews in the last 12 months

This centre has featured on Emagister for 5 years

Subjects

  • Computational Science
  • Technology
  • Engineering
  • Production
  • Computational
  • Analysing
  • Engineering Drawing
  • Engineering Science
  • Engineering Skills
  • Engineering Management
  • Engineering Mathematics

Course programme

Programme structure

The duration of the Master’s programme is two years and consists of courses and thesis work. Should you choose a short thesis (30 ECTS), the first three semesters are assigned course work and the last semester is assigned thesis work.
Choosing a longer thesis (60 ECTS), is a more flexible solution to the execution of the programme. It is recommended that you take three courses during the first semester. In the second semester you can work on your Master’s thesis while taking one course consisting of 20 ECTS, and in the third semester you can take one course consisting of 10 ECTS while working on your thesis. The fourth semester is entirely assigned to thesis work.

4. semester
  • Master's thesis
3. semester
  • Master's thesis
  • Master's course
2. semester
  • Master's thesis
  • Master's course
  • Master's course
1. semester
  • Master's course
  • Master's course
  • Master's course

Computational Science and Engineering (master's two years)

Price on request