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Data Science

Norwegian University of Life Sciences (NMBU)

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

About

On the Master of Science in Data Science at Norwegian University of Life Sciences (NMBU) you will learn how to combine informatics, mathematics and statistics with data analysis to deal with Big Data challenges.

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Overview

What can you use this qualification for?

Being an expert in the field of Data Science makes you highly attractive for the future labor market. Big Data challenges are present in all modern societies, all industrial sectors and research and are expected to grow rapidly in future. 

What will you learn?

The Master of Science in Data Science at Norwegian University of Life Sciences (NMBU)combines the disciplines of informatics, mathematics, statistics and data analysis. During the data science studies, you will deepen your knowledge in these subjects and learn to analyze real-world problems related to complex and big data. You will capitalize on the wide range of application areas of big data in technology, environmental and life sciences, as well as in business and economics.

Short description

Programming, computer science and data mining will give you basic skills in Data Science. Linear algebra and statistics are offered as optional courses if you lack these subjects in your bachelor degree. 

You will complement this basis with two specialization courses in one of the following areas: 

  • Geographical Modelling and Analysis
  • Geographical Database Systems
  • Geographical data Mining
  • Climate Modelling Biostatistics
  • Biophysics, Bioinformatics
  • Computational Neuroscience
  • Energy Physics
  • Building Structures
  • Building Performance Simulation and Economics

In your 30 ECTS master thesis, you will apply your data science competence to a specific task and hone your problem-solving skills.

Programme Structure

Courses include:

  • Data analysis and statistics        
  • Image Analysis 
  • Machine Learning and Deep Learning 
  • Regression
  • Applied methods in statistics
  • Theoretical statistics       
  • Theoretical statistics 
  • Selected topics in Statistics
  • Statistical Programming   

      

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).
7 (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.
92 (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

  • Higher Education Entrance Qualification and a completed bachelor's degree comparable to a Norwegian bachelor's degree included a specialization worth 80 ECTS.

    Applicants with a Norwegian degree in Engineering must have the courses Mathematical Methods I, II and III (or comparable) and Statistics (worth 30 ECTS) included in their degree. Other applicants must have at least 30 ECTS Mathematics courses and 5 ECTS Statistics courses.

  • Copy of foreign passport or ID   card
  • Documentation of upper secondary school
  • Documentation of higher education
  • Courses to be completed
  • Translations
  • Documentation of English language proficiency
  • Documentation of financing

Tuition Fee

  • International

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

    Free
    Tuition Fee
    Based on the original amount of 0 EUR per year 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.

Our partners

Data Science
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Norwegian University of Life Sciences (NMBU)

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