Data Science

University of Oslo

M.Sc. On Campus
24 months
Tuition fee
Apply date
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Data Science is the science of extracting knowledge or insight from various types of data. The Data Science programme of the University of Oslo combines mathematics, statistics and informatics making you ready for meeting the Data revolution.


A brief description of the programme

With the Data Science programme of the University of Oslo, you will be well prepared to face a major challenge in today's society: how to utilize the information contained in the vast amounts of data that are being collected in various areas such as medicine, finance, environment, and social media. The master's programme in Data Science is based on an interdisciplinary background in  statistics (probability theory, inference, machine learning) and computer science (algorithms, visualization, database) in addition to a solid foundation in general mathematics.

Modern data collection is characterised by volume (the amount of data), variety (the many different types of data including numbers, text and videos) and velocity (the dynamic collection and need for processing data). Extracting knowledge and insight from such data requires several different skills. Many tools are available, but the need for an understanding on what these tools do and how they can be applied or modified to a specific problem requires deep methodological understanding of all the topics within the Data Science production chain. This programme will give you a combination of theoretical basis and practical experience, from problem definition to data extraction and preprocessing to analysis and in the end presentation of the results.

The program will focus on both the breadth and specialization in various subjects. The master's programme has the following specializations:

  • Statistics and Machine Learning
  • Database Integration and Semantic Web
  • Data Science and Life Science
  • Language Technology
  • Digital Image Processing

Career prospects

After studying, you will have a good foundation for working in a number of areas both in private and public sector. Many of our Master's theses are directly linked to the issues and activities of technology companies and institutions in Norway. Some of the master's degree students who achieve very good academic results continue to pursue a research career by taking a doctorate (Ph.D.) at the University of Oslo or a university abroad.

Programme Structure

Courses include: 

  • Adaptive methods for data-based decision making
  • Database Systems
  • Applied Bayesian Analysis
  • Advanced Database Systems for Big Data
  • Logic
  • Bioinformatics

Key information


  • Full-time
    • 24 months

Start dates & application deadlines




120 ECTS


On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated testing site. The test measures your English-language abilities in an academic setting. The score refers to the total score of 4 subjects (writing, listening, speaking, and reading), each subject has a range of 0 - 30.
IELTS admission requirements IELTS The International English Language Test System (IELTS) tests your English-language proficiency on a scale of 1 – 9. The score refers to the combined average score of 4 subjects (writing, listening, speaking, and reading).
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Other requirements

General requirements

  • You must have a bachelor’s degree comparable to a Norwegian bachelor’s degree.
  • 4-year bachelor's degree or Licence.
  • You must have a minimum grade average comparable to a Norwegian C in the required specialization. A Norwegian C is described as a good grade, generally comparable to an American B and a Second Class Upper in the British system.
  • Documentation of English language proficiency.
  • Scan and upload your official transcripts documenting that you have completed your upper secondary education.
  • You must scan and upload your official bachelor's degree certificate and academic transcript.
  • Documentation of financing.
  • Passport or ID card.

Tuition Fee

  • International

    Tuition Fee
    Based on the original amount of 0 EUR for the full programme and a duration of 24 months.
  • EU/EEA

    Tuition Fee
    Based on the original amount of 0 EUR for the full programme and a duration of 24 months.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

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Data Science
University of Oslo


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