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Applied Data Science, Master

  • Application Deadline
  • 24 months
    Duration
University rank #256 (QS) ,
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 these present. 

About

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.

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 (e.g. data about customers) can offer crucial competitive advantages. People with knowledge and skills in Data Science are therefore in high demand, in Gothenburg 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. Thus, providing training in the management and analysis of large-scale data is important in preparing students for further study and research within higher education, research institutes and industry.The Master's programme in Applied Data Science is designed to be accessible to students with a wide range of Bachelor's degrees, and a Master's level education in Applied Data Science will be of benefit to students with backgrounds in many different areas who recognise 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 these can be used, and practical skills in their application.

Programme Structure

This two-year programme includes the following compulsory courses that provide a core within Data Science:
  • Introduction to Data Science 
  • Thinking and Working Mathematically 
  • Statistical Methods for Applied Data Science 
  • Applied Machine Learning
  • Techniques for Large-scale Data 
  • Master’s Thesis in Data Science 

Detailed Programme Facts

  • Programme intensity Full-time
    • Full-time duration 24 months
  • Credits
    120 ECTS
  • Languages
    • English
  • Delivery mode
    On Campus

English Language Requirements

This programme may require students to demonstrate proficiency in English.

General Requirements

  • Bachelor's degree of 180 credits including an independent project (degree project) of at least 15 credits or equivalent in a subject relevant to the study of Data Science, either as a basis for Data Science methods or as an area where Data Science can be applied. At least 15 credits from programming or eqvivalent. 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.

Tuition Fee

  • International

    13596 EUR/year
    Tuition Fee
    Based on the original amount of 27187 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.
We've labeled the tuition fee that applies to you because we think you are from and prefer over other currencies.
  • Application fee: 900 SEK
  • Full programme cost: 281 392 SEK
  • First payment: 70 348 SEK

Living costs for Göteborg

  • 7552 - 13940 SEK/month
    Living Costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

Funding

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