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Data Science

University of Oslo

M.Sc.
24 months
Duration
Free
Free
Unknown
Tuition fee
Passed
Passed
Unknown
Apply date
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Start date

About

Data Science is the science of extracting knowledge or insight from various types of data. The Master in Data Science at University of Oslo combines mathematics, statistics and informatics making you ready for meeting the Data revolution.

Overview

With a Master in Data Science at 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. 

A graduate with a Master of Science in Data Science:

  • has broad insight, understanding and intuition of the whole process line of extracting knowledge from data
  • has a deep insight in one of the specialisations within the program, depending on the study and the choice of the master project
  • has solid knowledge in a broad range of methods based on statistics and informatics and can use these for data management, analysis and problem solving
  • has experience in deriving theoretical properties of methods involved in Data Science
  • has experience in implementation/modification of methods involved in Data Science

Programme Structure

Courses include: 

  • Statistics and Machine Learning
  • Database Integration and Semantic Web
  • Data Science and Life Science
  • Statistical learning methods in Data Science

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English
IELTS or TOEFL needed

Credits

120 ECTS

Delivered

On Campus

Academic requirements

GPA admission requirements GPA Your GPA, or Grade Point Average, is a number that indicates how well or how high you scored in your courses on average. Usually a GPA scales between 1.0 and 4.0, however different countries and universities can have different grading systems.
GRE admission requirements GRE® The GRE® General Test is a widely administered admissions test that measures the skills needed in today's graduate and business school programs worldwide. It contains three sections - Verbal Reasoning, Quantitative Reasoning, and Analytical Writing. Three scores are reported: a Verbal Reasoning score on a 130 - 170 score scale in one-point increments, a Quantitative Reasoning score on a 130 - 170 score scale in one-point increments, and an Analytical Writing score on a 0 - 6 score scale in half-point increments.
GMAT admission requirements GMAT The Graduate Management Admission Test (GMAT) is a test intended to assess certain analytical, writing, quantitative, verbal, and reading skills in written English for use in admission to a graduate management program, such as an MBA. GMAT contains 4 sections - Analytical Writing Assessment, Integrated Reasoning, Quantitative and Verbal. The score has a range from 200 - 800.

English requirements

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).
6.5 (required)
TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at desiganated 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.
90 (required)
PTE Academic admission requirements PTE Academic PTE Academic (Pearson Test of English Academic) is a language test that enables students to demonstrate their writing, listening, speaking, and reading skills when applying to study in English. The score refers to a total score which ranges between 10 and 90.

Other requirements

General requirements

  • Scan of non-Norwegian passport or ID card        
  • Documentation of English language proficiency        
  • Documentation of completed upper secondary education        
  • Final bachelor's degree diploma(s)/certificate(s)        
  • Transcript of records for your bachelor's degree        
  • Degree/ relevant courses to be completed - Only applicable for Nordic and EU/EEA/Swiss Citizens and applicants with a permanent or renewable residence permit in Norway
  • Final degree diploma and transcript of records        
  • Documentation of financing (if applicable) 

Tuition Fee

  • International

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

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

Funding

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
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