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M.Sc. On Campus

Computer Science - Applied Data Science

Malmö University

24 months
Duration
12288 EUR/year
Free
Unknown
Tuition fee
Unknown
Apply date
Unknown
Start date

About

The Computer Science: Applied Data Science programme at Malmö University will provide you with understanding of the state-of-the-art methods and algorithms of data science through hands-on experience with the latest tools and systems in the industry. 

Overview

During the Computer Science: Applied Data Science programme at Malmö University you will get a comprehensive understanding of the fundamental aspects of data modelling, computational techniques and statistical analysis. You will apply these skills to real-world problems and build a portfolio of projects demonstrating solutions to current business and societal challenges. You will have the opportunity to conduct original and innovative research, working with industry partners and academia during the capstone project course and thesis work.

The programme is built around the international research environments at the Department of Computer Science and Media Technology. The teaching staff includes experts in artificial intelligence, data processing and analysis, software development for big data and cloud architectures, modern software methodologies, and data visualisation.

Graduates will enter the workplace with solid skills in managing, modelling, visualising and processing big data in order to provide insights to meet the growing needs of a digitised society. After graduating from this programme, you will have developed competencies that are applicable across various sectors and application domains of data science such as computer science, technology, logistics, financial services, internet of things, transport, business analytics, healthcare, gaming and digital marketing and advertising analytics.

In addition, the programme will prepare you for postgraduate education in computational-based science and technology — especially focussed on data science — but also research and development work in related areas.

Programme Structure

Courses:

  • Artificial intelligence for data science 
  • Statistical Methods for Data Science
  • Data and Society 
  • Research Methods of Computer Science and Fundamental Computational Theory
  • Exploratory Data Analysis, Visualization and Storytelling
  • Advanced Machine Learning

Key information

Duration

  • Full-time
    • 24 months

Start dates & application deadlines

Credits

120 alternative credits

Delivered

On Campus

Academic requirements

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

Other requirements

General requirements

  • Bachelor's degree or master's degree (at least 180 credits) in computer science or related topics such as mathematics, informatics, telecommunications, electrical engineering, or physics.
  • At least 15 credits in programming.
  • At least 7.5 credits in mathematics.
  • The equivalent of English 6 at Swedish upper secondary level.
  • Selection

    University credits completed 100%

    Tuition Fee

    To alway see correct tuition fees
    • International

      12288 EUR/year
      Tuition Fee
      Based on the tuition of 24576 EUR for the full programme during 24 months.
    • EU/EEA

      Free
      Tuition Fee
      Based on the tuition of 0 EUR for the full programme during 24 months.

    Full tuition fee: 250000 SEK

    Living costs for Malmö

    7318 - 11465 SEK /month
    Living costs

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

    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 6 months

    Check the official programme website for potential updates.

    Our partners

    Computer Science - Applied Data Science
    -
    Malmö University

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