M.Sc. On Campus

Information Studies - Data Science

12 months
22880 EUR/year
2168 EUR/year
Tuition fee
Apply date
Start date


In a data rich world, data science is gaining a central position with an increasing potential value for businesses, science and society. Data scientists are needed to give meaning to the sea of data that surrounds us. With the innovative and interdisciplinary Information Studies - Data Science programme of the University of Amsterdam, it will be possible for you to become an expert in this field.


The Information Studies - Data Science programme of the University of Amsterdam has been developed in collaboration with Amsterdam Data Science (ADS). Courses are taught by an international team of top scientists and experts from all collaborating institutions.

During this one-year Master’s programme in Data Science you will:

  • delve into the main theories and tools used in the field of data science, and develop an integrated view on the latest developments and future possibilities of Data Science in society;
  • learn how to translate scientific, societal, and business challenges into data-related questions, identify solutions that are methodologically sound, while taking the ethical and legal aspects into account, communicate results and make well-founded decisions;
  • work together with an international group of students from a wide variety of educational backgrounds;
  • conduct and evaluate data science projects in a broad range of domains.

Programme Structure

Courses include:

  • Fundamentals of Data Science
  • Statistics, Simulation and Optimization
  • Data Systems Project
  • Applied Machine Learning
  • Big Data

Key information


  • Full-time
    • 12 months

Start dates & application deadlines




On Campus

Academic requirements

GPA admission requirements GPA
  • 3.0 (American system)
  • 2.1 (a second class upper/division one degree in the British system)
  • C (ECTS-system)

Student insurance

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

  • Additional medical costs (i.e. dental)
  • Repatriation, if something happens to you or your family
  • Liability
  • Home contents and baggage
  • Accidents
  • Legal aid

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Get your student insurance now

Start from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at University of Amsterdam and/or in Netherlands, please visit Student Insurance Portal.

Other requirements

General requirements

  • The track Data Science is open to applicants with an academic Bachelor's degree, and an affinity for data and technology. Students from various disciplines are eligible, such as: Artificial Intelligence, Business Studies, Communication Studies, Computer Science, Information Science, Information Studies, Media Studies, Psychology
  • You have an overall grade point average (GPA) equivalent to at least: 3.0 (American system), 2.1 (a second class upper/division one degree in the British system), C (ECTS-system)
  • Programming skills
  • English language proficiency

Tuition Fee

To alway see correct tuition fees
  • International

    22880 EUR/year
    Tuition Fee
    Based on the tuition of 22880 EUR per year during 12 months.
  • EU/EEA

    2168 EUR/year
    Tuition Fee
    Based on the tuition of 2168 EUR per year during 12 months.

Living costs for Amsterdam

1000 - 1500 EUR /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.

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Information Studies - Data Science
University of Amsterdam


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