Data Science University of Stavanger

Overview

The Master of Science in Data Science at the University of Stavanger is a comprehensive programme tailored for individuals aiming to master the intricacies of data analysis, machine learning, and artificial intelligence. This two-year course is structured to provide engineering graduates with the interdisciplinary skills necessary to thrive in today's data-driven world. The curriculum emphasises the extraction of meaningful insights from vast datasets, a skill that has become increasingly vital across various industries.

The University of Stavanger is renowned for its strong emphasis on research and innovation, particularly in the realm of data science and machine learning. The institution boasts state-of-the-art facilities and a collaborative environment that fosters partnerships with industry leaders. This unique combination ensures that students gain practical experience alongside theoretical knowledge, preparing them for real-world challenges.

The tuition fees for the Master of Science in Data Science are as follows:

• International students: NOK 190,000 per year
• European students: NOK 0 per year

Visit the Fees and Funding section for a breakdown in your local currency.

The curriculum is designed to cover a broad spectrum of topics essential for a career in data science. The compulsory courses include:

• Cloud Computing Technologies
• Data-intensive Systems and Engineering
• Introduction to Data Science
• Statistical Modelling and Simulation
• Generative AI
• Algorithm Theory
• Machine Learning
• Master's Thesis in Data Science

Additionally, students have the option to choose elective courses such as:

• Investment Analysis
• Project Management
• Reinforcement Learning
• Information Retrieval and Text Mining
• Image Processing and Computer Vision
• Statistical Learning
• Discrete Simulation and Performance Analysis
• Project in Computer Science
• Deep Neural Networks
• Probability and Statistics 2

Graduates of the Master of Science in Data Science can expect to find opportunities across a wide range of sectors, including consulting, telecommunications, healthcare, and energy. The programme equips students with the necessary skills for roles in data analysis, system development, and the management of data processing systems. Many alumni have successfully transitioned into positions that require advanced knowledge in statistics, machine learning, and data management, making them invaluable assets in the evolving job market.