M.Sc. On Campus

Data Science

University of Oslo

24 months
Tuition fee
Apply date
Start date


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.

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

To alway see correct tuition fees
  • International

    Tuition Fee
    Based on the tuition of 0 EUR for the full programme during 24 months.
  • EU/EEA

    Tuition Fee
    Based on the tuition of 0 EUR for the full programme during 24 months.

Living costs for Oslo

11682 - 19230 NOK /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


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.

Fresh content

Updated in the last 6 months

Check the official programme website for potential updates.

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Data Science
University of Oslo


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