Computational Engineering University of Stavanger

Overview

The University of Stavanger (UiS) is renowned for its commitment to excellence in education and research. The Computational Engineering programme stands out due to its interdisciplinary approach, combining engineering principles with data science and programming. This integration is crucial for addressing the growing demands of digitalisation and artificial intelligence across various industries. UiS boasts modern facilities and a collaborative environment, fostering innovation and creativity among students. Moreover, the university's strong partnerships with industry leaders provide students with invaluable networking opportunities and insights into real-world applications of their studies.

The tuition fee for international students is NOK 190,000 per year. European students benefit from a tuition fee of NOK 0 per year. Visit the Fees and Funding section for a breakdown in your local currency.

The Master's programme comprises compulsory courses and electives designed to provide a comprehensive education in Computational Engineering. The following are the core modules:

• Decision Analysis with Artificial Intelligence Support
• Modelling and Computational Engineering
• Fundamentals of Machine Learning for Engineering Applications
• Data-driven Modelling of Conservation Laws

In addition to these, students can choose from a variety of elective courses in their second semester, including:

• Machine Learning
• Differential Equations
• Introduction to Computational Fluid Dynamics
• Applied Computational Fluid Dynamics for Industrial Processes
• Reservoir Modelling and Simulation

The third semester allows for further specialisation through elective courses or the initiation of the master’s thesis, which can be pursued in the second or third semester.

As digital technology permeates various sectors, the demand for skilled Computational Engineers continues to rise. Graduates are well-prepared to enter industries such as energy, healthcare, consulting, and public services, where their expertise in programming and modelling is invaluable. The combination of engineering knowledge and computational skills positions them as essential contributors to the ongoing digital transformation across multiple fields.

Graduates of the Master's programme in Computational Engineering are equipped for diverse career paths. Many alumni find roles in leading companies within the energy sector, consulting firms, and healthcare institutions. The skill set acquired during the programme prepares students for positions that require advanced modelling and programming capabilities, making them highly sought after in the job market. Additionally, the programme lays a solid foundation for those wishing to pursue further academic research, particularly in areas related to energy, information technology, mathematics, and physics.