24 months
Duration
15000 EUR/year
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

In the interdisciplinary Master's Programme in Data Science from University of Helsinki, you are trained to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems.

Visit the official programme website for more information

Overview

Studies in the Data Science from University of Helsinki include both theoretical and practical components, including a variety of study methods (lectures, exercises, projects, seminars; done both individually and in groups). Especially in applied data science, we also use problem-based learning methods, so that you can address real-world issues. You will also practise academic skills such as scientific writing and oral presentation throughout your studies. You are encouraged to include an internship in your degree in order to obtain practical experience in the field.

Upon graduating from the Data Science MSc programme, you will have solid knowledge of the central concepts, theories, and research methods of data science as well as applied skills. 

In particular, you will be able to:

  • Understand the general computational and probabilistic principles underlying modern machine learning and data mining algorithms
  • Apply various computational and statistical methods to analyse scientific and business data
  • Assess the suitability of each method for the purpose of data collection and use
  • Implement state-of-the-art machine learning solutions efficiently using high-performance computing platforms
  • Undertake creative work, making systematic use of investigation or experimentation, to discover new knowledge
  • Report results in a clear and understandable manner
  • Analyse scientific and industrial data to devise new applications and support decision making.

Programme Structure

Courses include:

  • Introduction to Data Science
  • Introduction to Machine Learning
  • Distributed Data Infrastructures
  • Statistical Data Science (substitutes Bayesian Inference)
  • Data Science Seminar
  • Data Science Project
  • Academic Skills for Data Science

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

More details

Application period: 1 December- 15 January

Language

English, Finnish, Swedish
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.
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

  • An officially certified copy of the degree certificate/diploma
    • An official transcript of records or an officially certified copy of the transcript
    • A diploma supplement (if available)
    • Please also submit authorised translations of these documents in Finnish, Swedish or English, if necessary.
    If you wish to use any additional degrees or studies as grounds for application, please also submit the following documents related to them:
    • Certified copy of the degree certificate/diploma
    • Official transcript of records or a certified copy of the transcript
    • Please also submit authorised translations of these documents in Finnish, Swedish or English, if necessary.

Tuition Fee

  • International

    15000 EUR/year
    Tuition Fee
    Based on the original amount of 15000 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.

Citizens of non-EU/EEA countries, who do not have a permanent residence status in the area and pursue their studies in English, are liable to pay tuition fees.

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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