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Data Science and Artificial Intelligence● OpenMastersPreview

MSc in Data Science

A two-year interdisciplinary master’s programme equipping engineers with expertise in machine learning, big data, and digital innovation.

Best for:Best for engineers and professionals with a background in STEM disciplines who want to specialise in data science, machine learning, and digital transformation for industry applications.

University of Stavanger · Stavanger, Norway
More professors at University of Stavanger
Machine LearningBig Data AnalyticsCloud ComputingData-Driven Decision MakingDigital TransformationIndustry-Academia Collaboration
This is a masters position — not a PhD studentship.
Deadline
—
Funding
—
2 years
Start date
Flexible (typically aligned with academic calendar)
Location
Stavanger
Norway

Overview

The Master of Science in Data Science at the University of Stavanger prepares students to extract meaningful insights from large datasets using advanced techniques like machine learning and artificial intelligence. This programme is designed for engineers and professionals seeking to specialise in data-driven solutions, addressing critical challenges in digitisation and smart technology. Students engage in hands-on learning, collaborate with industry partners on real-world projects, and conduct research in areas such as cloud computing, large-scale data analysis, and machine learning. The curriculum emphasises interdisciplinary collaboration, ensuring graduates are well-equipped to contribute to innovation and industry needs. Thesis opportunities include partnerships with companies, fostering practical experience alongside academic rigor.

Data Science Master’sMachine LearningBig DataCloud SolutionsIndustry CollaborationData-Driven InnovationInterdisciplinary ResearchDigitalisation

What you'll do

  • Develop and apply advanced machine learning and data analysis techniques to extract insights from large datasets.
  • Collaborate with industry partners to solve real-world problems through applied research projects.
  • Conduct independent research and write a master’s thesis, potentially in partnership with companies.
  • Engage in interdisciplinary learning, integrating knowledge from engineering, computer science, and data science.
  • Participate in innovation projects focused on digitisation and smart solutions for various industries.
  • Utilise cloud computing and big data technologies to manage and analyse complex datasets.
  • Present research findings and contribute to academic and industry discussions on data-driven innovation.

Requirements

Degree required: Bachelor’s degree in a relevant field such as Computer Science, Engineering, Mathematics, or related disciplines (equivalent to 180 ECTS credits).

Degree offered: MSc in Data Science

Language: English proficiency (equivalent to B2/C1 level).

Instruction: English

Required skills
  • Strong foundation in mathematics and statistics.
  • Basic programming skills (e.g., Python, R, or Java).
  • Familiarity with data analysis and machine learning concepts.
  • Ability to work collaboratively in interdisciplinary teams.
Nice to have
Experience with big data tools (e.g., Hadoop, Spark).Prior exposure to cloud computing platforms (e.g., AWS, Azure).Knowledge of data visualisation tools (e.g., Tableau, Power BI).Background in software engineering or data engineering.
Eligibility
  • Applicants must hold a recognised bachelor’s degree in a relevant field.
  • No specific nationality or residency restrictions, but English proficiency is mandatory.

Funding & terms

Type
Unknown
Amount
—
Duration
2 years
Programme
—

Programme and admissions

Admissions not verified

A catalogue listing does not mean applications are open or funding is guaranteed. Check the source for your intake.

Intake
Not confirmed by the source
Duration
Not confirmed by the source
Teaching language
Not confirmed by the source
Taught / research mode
Not confirmed by the source
Study mode
Not confirmed by the source
Campus
Not confirmed by the source
Prerequisites
Not confirmed by the source
Application instructions
Not confirmed by the source
Tuition
Not confirmed by the source
Funding
Not confirmed by the source

How to apply

Applicants must apply through the official University of Stavanger portal. The process involves submitting academic transcripts, proof of English proficiency, a statement of purpose, and a CV. Additional documents may be required based on the programme’s specific guidelines.

Documents required
  • CV
  • Statement of Purpose
  • Bachelor’s degree transcripts
  • Proof of English proficiency (e.g., IELTS, TOEFL)
  • Letter of recommendation (if required)
↗Check programme and admissions

Contact

Lab
Data Science Research Group
University of Stavanger
Norway
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Check admissions, intake and funding with the official source; a listing does not mean applications are open.