MSc in Computational Engineering makes you eligible for the most demanding and interesting tasks in the private or public sector as an engineer, researcher, or leader.
What can humans do better than machines? What is possible to solve with the help of computers?
These questions are not fully answered yet, and for most practical applications, one has to rely on modeling. This master program will teach you how to develop understanding of complex and uncertain contexts through the use of models. Modeling breaks a complicated, unstructured problem into smaller pieces that can be handled by algorithms and computers.
This workflow has a lot in common with computational thinking. In this study program we use computational thinking actively as a strategy to investigate specific problems, decide on strategies for solving the problems, evaluate the strengths and weaknesses of the chosen solution, as well as how to communicate the analysis and recommended solution to team members and managers.
Decisions and Modeling
Good decisions rely on domain knowledge, relevant data, good models, and the ability to model.
By acquiring skills within modeling and understanding how a model can be used for decision-making support, you will be better equipped to create value from digitalization. Real world problems change all the time. The technical depth and the programming skills provided by this master’s program will give students the required technical competence and flexibility to handle these challenges. The study program will give you skills to analyze complex unstructured problems and apply the insight to make better decisions to improve e.g. efficiency, quality, and workflows.
The master’s program has courses that build on mathematics, statistics, and basic programming from a bachelor’s program in engineering or science. The study program contains advanced modeling and algorithmic topics, decision analysis, optimization, and uncertainty modeling.
A master’s degree in Computational Engineering makes you eligible for the most demanding and interesting tasks in the private or public sector as an engineer, researcher, or leader. Job opportunities are abundant, and the majority of major oil and service companies and research institutes (SINTEF, NORCE, IFE) demand this competence.
Academic requirements for MSc in Computational Engineering
In order to be eligible for master’s programmes in Norway, you need to document a bachelor’s degree of minimum three years. Depending on where you completed upper secondary education, you may be required to have more than three years of university education. Please check the GSU-list for detailed information and requirements for each country.
A Bachelor’s degree in engineering or equivalent is required.
The degree must include at least:
- 10 ECTS credits in informatics/computer sciences/an introductory course for engineers including programming
- 30 ECTS credits in mathematics/statistics/calculus
The minimum GPA (grade point average) for admission to this Master’s programme is 60% or 3 on the ECTS grading scale. However, admission to this programme is highly competitive and applicants must demonstrate good academic standards and top grades.
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