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

Credits

120 ECTS

Delivered

On Campus

Academic requirements

We are not aware of any academic requirements for this programme.

English requirements

TOEFL admission requirements TOEFL® IBT The TOEFL iBT® is given online through the internet at designated 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
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

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.

Fresh content

Updated in the last 9 months

Check the official programme website for potential updates.

Our partners

Data Science
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