Studyportals

Applied Data Science

University of Gothenburg

M.Sc. On Campus
24 months
Duration
14372 EUR/year
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Applied Data Science programme of the University of Gothenburg consists of courses in applied data science and related subjects. The courses are progressively arranged so that they, within the framework of learning outcomes, contribute separately and jointly to develop your skills and abilities in the field.

Overview

About

Data science is concerned with extracting meaning from large volumes of data. It is a field that has grown rapidly in recent years as a result of the increasing availability of large data sets and the opportunities and challenges that they present. Central topics within data science include data mining, machine learning, databases, and the application of data science methods in natural sciences, life sciences, business, humanities, and social sciences, as well as in industry and society.

Training in the management and analysis of large-scale data

Data science is having a big impact on industry. For some companies, being able to handle and analyse massive data sets is central to their business model. Even for other companies, being able to extract information from data (for example, data about customers) can offer crucial competitive advantages. People with knowledge and skills in data science are therefore in high demand, in Gothenburg, in Sweden, and internationally. Similarly, within scientific research, data-intensive scientific discovery is increasingly important in many areas, and researchers need to be able to handle and analyse massive data sets.

Welcoming students with backgrounds in many different areas

The Applied Data Science programme of the University of Gothenburg is designed to be accessible to students with a wide range of bachelor’s degrees, and a master’s education in applied data science will be of benefit to students with backgrounds in many different areas who recognize that being able to work effectively with large data sets will be important in their future careers. Some previous programming experience is required, and the programme builds on this. The programme gives students an overview of the techniques and technologies that are relevant to data science, an appreciation of when and how they can be used, and practical skills for their application.

Since we welcome students with various backgrounds you can help us by downloading and filling in the following form, to help us assess the prerequisites for the program. The form also contains room for your motivation letter. Please submit the form together with your transcripts and other documents in the application system.

Programme Structure

Courses include:

  • Data Science
  • Python for Data Scientists
  • Applied Mathematical Thinking
  • Statistical Methods for Data Science
  • Applied Machine Learning
  • Techniques for Large-Scale Data

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Language

English

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.
90
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
Start practicing IELTS today!

Other requirements

General requirements

  • A Bachelor's degree of 180 credits including an independent project (degree project) of at least 15 credits or equivalent.
  • 7.5 credits from courses in programming in a general-purpose programming language or equivalent, and 7.5 credits mathematics or statistics.
  • Applicants must prove their knowledge of English: English 6/English B from Swedish Upper Secondary School or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
  • Personal letter
  • Grades from previous higher education

Tuition Fee

  • International

    14372 EUR/year
    Tuition Fee
    Based on the original amount of 28744 EUR for the full programme and a duration of 24 months.
  • EU/EEA

    Free
    Tuition Fee
    Based on the original amount of 0 EUR for the full programme and a duration of 24 months.
  • Full education cost: 292,000 SEK
  • No fees are charged for EU and EEA citizens, Swedish residence permit holders and exchange students.

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 3 months

Check the official programme website for potential updates.

Our partners

Applied Data Science
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University of Gothenburg

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