Data Science lets engineering students from different fields become experts in machine learning and Artificial intelligence.
2 years/4 semesters
English
120
August every year
Data Science students will learn to extract relevant information from a compilation of large datasets from different sources. Data Scientists are the experts needed to understand, apply, and improve data driven methods like machine learning and Artificial intelligence. The ability to create, manage and exploit data has become one of the most important challenges for practitioners in most industries. Students with expertise in Data Science will be highly sought after in the labor market, where they will contribute to the development of smart solutions and digitisation.
This study comes in the wake of Big Data and the need to find useful information in them. Analysis, understanding, and use of these data require interdisciplinary skills and knowledge. This master’s programme creates opportunities for students from different engineering backgrounds who want to focus more on digitisation and data analysis.
You can write your master’s thesis in collaboration with industry and participate in innovation and research. UiS has a strong research focus on analysis of large datasets, Cloud solutions, and machine learning.
Revised study plan and course descriptions for the academic year 2025/2026 will be published 1 February, 2025.
Academic requirements
A Bachelor's degree in engineering or equivalent is required. The degree must include at least:
- 10 ECTS credits in programming + 10 ECTS informatics/computer science
- The equivalent of 25 ECTS credits in mathematics, 5 ECTS credits in statistics and 7,5 ECTS credits in Physics.
In case programming and computer engineering subjects cannot be confirmed through the The Bologna Process Framework for Learning Outcomes, at least 50 credits in programming and computer engineering subjects will be required.
Only degrees from accredited universities from the following countries are confirmed through the Bologna Process: List of countries.
If the country where you completed your degree is not included in the list above, a minimum of 50 credits in programming and computer engineering subjects is required.
If you have completed studies/courses outside the University of Stavanger, you must upload course descriptions that have clearly defined curriculum (learning outcomes). The course names and codes on the course descriptions must match the transcript of records. If you do not provide course descirptions, you might risk your application to not be prioritized.
Admission to this master's programme requires a minimum grade average comparable to a Norwegian C (according to ECTS Standards) in your bachelor's degree. Applicants with a result Second-class lower Division or lower are not qualified for admission.
Application and admission
Contact
For inquiries regarding admission to international Master's programmes, send an email to: admissions@uis.no.
Student life at UiS
Frequently asked questions
Questions about the study programme? Find more information here.
What do you learn when you choose Computer Science?
Master’s program in Computer Science teaches you the management, design and programming of computer systems. The ability to integrate knowledge and skills in security, reliability and scalability together with algorithm theory and statistics is necessary to respond to challenges in computer systems in all industries.
The program provides a basis for work with the development and planning of commercial computer systems for various purposes. You gain knowledge and skills in network security, reliability of distributed systems, simulation and modeling.
What do you learn when you choose the Data Science program?
Master’s program in Data Science teaches you to extract relevant information from a compilation of large data sets from different sources. The ability to create, manage and utilize data has become one of the most important challenges for practitioners in almost all disciplines, sectors and industries.
Data Science provides a basis for work in data analysis and development of data processing systems for the entire data life cycle. You gain knowledge and skills in advanced statistics, data mining, machine learning and processing large amounts of data. The study will be highly sought after in the future labor market, with the development of smart solutions such as in smart cities, with smart energy and digitalisation.
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Faculty Administration TN
Kontor for utdanningsadministrative tjenester
Department of Electrical Engineering and Computer Science