University of Helsinki

Data Science, M.Sc.

  • Application Deadline
  • 24 months
    Duration
  • Tuition
    15000
    Tuition (Year)
    Free
    Tuition (Year)
  • English, Finnish, Swedish
    Language
In the Data Science masters programme at University of Helsinki, you will gain a solid understanding of the methods used in data science. You will learn not only to apply data science: you will acquire insight into how and why methods work so you will be able to construct solutions to new challenges in data science.

About

In the Data Science master’s programme, you will also be able to work on problems specific to a scientific discipline and to combine domain knowledge with the latest data analysis methods and tools. The teachers of the programme are themselves active data science researchers, and the programme is heavily based on first-hand research experience.

Upon graduating from the Data Science MSc programme from University of Helsinki, 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.

Career

Industry and science are flooded with data and are struggling to make sense of it. There is urgent demand for individuals trained to analyse data, including massive and heterogeneous data. For this reason, the opportunities are expected to grow dramatically. The interdisciplinary Data Science MSc programme will train you to work in data-intensive areas of industry and science, with the skills and knowledge needed to construct solutions to complex data analysis problems.

If you are focusing on the core areas of data science, you will typically find employment as a researcher or consultant, sometimes after taking a PhD in Computer Science or Statistics to deepen your knowledge of the field and research methods. If your focus is on the use of data science for specific applications, you will typically find work in industry or in other fields of science such as physics, digital humanities, biology or medicine.

Programme Structure

The programme consists of:

  • Common core studies of basic data science courses
  • Several modules on specific topics within data science algorithms, data science infrastructures and statistical data science, and on data science tools
  • Seminars and colloquia
  • Courses on academic skills and tools
  • Possibly an internship in a research group or company
  • Studies in an application domain
  • Masters thesis (30 credits)

Detailed Programme Facts

English Language Requirements

You only need to take one of these language tests:

  • Minimum required score: 6.5

    The IELTS – or the International English Language Test System – tests your English-language abilities (writing, listening, speaking, and reading) on a scale of 1.00–9.00. The minimum IELTS score requirement refers to which Overall Band Score you received, which is your combined average score. Read more about IELTS.

    Take IELTS test
  • Minimum required score (Grade A): 200

    The CAE test – or the Cambridge Advanced English – is an exam for applicants who wish to get a Certificate in Advanced English. To receive the Advanced certificate, test-takers must score between 142 and 210 on the Cambridge English: Advanced test. Read more about CAE.

    Note: degree programmes and applications may require a more specific minimum score for admission.

  • Minimum required score: 580

    The TOEFL – or Test OF English as a Foreign Language – offers a paper-based test (PBT). The final, overall PBT score ranges between 310 and 677, and is based on an average taken from the three test components (listening, structure, and reading). The writing part of this test is scored separately on a scale of 0-6. Read more about TOEFL (PBT).

  • Minimum required score: 92

    The TOEFL – or Test Of English as a Foreign Language – offers an internet-based test (iBT). The final, overall iBT score ranges between 0 and 120, and includes a scaled average from the four components (reading, listening, speaking, and writing). Read more about TOEFL (iBT).

Academic Requirements

Eligibility

  • You demonstrate by 31 July that you have completed a first- or second-cycle degree or a postgraduate degree in Finland or abroad.
  • You demonstrate by 12 January that you have completed the studies required for the programme.
  • You demonstrate by 12 January that you are proficient in English in the manner specified in Rectors Decision.

Application Documents:

  • Copy of the degree diploma
  • Official transcript of studies
  • Certificate of language proficiency
  • Authorised translations into Finnish, Swedish or English
  • Motivation letter and study plan

Tuition Fee Per Year

  • EUR 15000 International
  • Free EU/EEA

Funding

Check the programme website for information about funding options.

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.