Master of Science in Computational Engineering
Combine engineering expertise with data science and machine learning to drive industry digitization.
Best for:Best for engineering graduates seeking to specialize in computational modeling, machine learning, and data-driven engineering solutions.
Overview
The Master of Science in Computational Engineering at the University of Stavanger bridges engineering and data science, equipping graduates with skills in programming, mathematical modeling, and machine learning. This two-year programme prepares students to automate workflows, analyze complex systems, and support decision-making across sectors like health technology and energy. Applicants with a bachelor’s degree in engineering or a related field will develop expertise in Python, open-source tools, and numerical methods to address real-world challenges. The curriculum emphasizes interdisciplinary problem-solving, ensuring graduates are ready to contribute to the digital transformation of industries.
What you'll do
- Develop mathematical and machine learning models using Python and its libraries to automate engineering workflows.
- Apply computational techniques to analyze complex and uncertain systems in sectors like energy and health technology.
- Learn to use open-source programming languages and tools for modeling and simulation.
- Collaborate on interdisciplinary projects that integrate engineering, data science, and computational methods.
- Implement numerical models to support decision-making in real-world engineering challenges.
- Engage in hands-on projects that address digitization needs across various industries.
Requirements
Degree required: Bachelor's degree in engineering or a related field (or equivalent qualification)
Degree offered: Master of Science (MSc)
Language: English proficiency (typically demonstrated via IELTS, TOEFL, or equivalent)
Instruction: English
- Proficient programming skills, particularly in Python
- Basic understanding of mathematical modeling and numerical methods
- Familiarity with data-driven approaches or machine learning concepts
- Problem-solving and analytical thinking in engineering contexts
- Applicants must hold a recognized bachelor’s degree in engineering or a closely related field
- No specific nationality or residency restrictions mentioned
Funding & terms
Programme and admissions
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- Intake
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- Prerequisites
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How to apply
Applicants must submit their application through the official University of Stavanger portal. Required documents typically include a CV, academic transcripts, a letter of motivation, and proof of English proficiency. Additional documents may be requested depending on the applicant’s background.
- CV
- Academic transcripts (Bachelor’s degree)
- Letter of motivation
- Proof of English proficiency (e.g., IELTS, TOEFL)
- Copy of passport or ID
Contact
Create a free profile to unlock your personal match score, the full requirements, funding details and how to apply — in English or Persian.