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Göteborgs universitet, Institutionen för data- och informationsteknik
Göteborgs universitet, Institutionen för data- och informationsteknik

Fakta

Kontakt

  • Ort

    Göteborg

  • Längd

    120 hp, 2 år

  • Lärosäte

    Göteborgs universitet, Institutionen för data- och informationsteknik

  • Sista ansökningsdatum

    15 april

  • Startdatum

    HT20

  • Utbildningstyp

    Universitet & Högskola

  • Områdesbehörighet/behörighet

    Se utbildarens hemsida

  • Examen

    Masterexamen

  • Kategorier:

    Data, IT & grafik

  • Kontakt

    Phone +46 (0)31-772 10 00
    E-mail: chalmers@chalmers.se  



Göteborgs universitet, Institutionen för data- och informationsteknik

Göteborgs universitet, Institutionen för data- och informationsteknik

Institutionen är delad mellan Göteborgs universitet och Chalmers tekniska högskola, och sammanlagt med undervisningen vid Chalmers erbjuder vi runt 150 kurser på 25 olika program från grund- till fors... Läs mer

 Applied Data Science, Master's Programme

About the programme

Big Data is taking centre stage in all areas – business and industry, public policy, the life sciences, natural sciences, humanities and social sciences, and people with knowledge of how to process and analyse large amounts of data has become an increasingly sought after category. 

The programme 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.

Programme syllabus, Applied Data Science

For whom?

The Master's Programme in Applied Data Science is an international full-time programme open to both Swedish and international applicants. The programme is taught in English and comprises 2 years.

The programme is available to students from diverse backgrounds with basic programming skills.

With this programme you will obtain advanced knowledge in Applied Data Science, and once the programme is completed you will be able to either pursue a specialist career in industry or move ahead in academic research.

You will be prepared to work with Big Data in your future career. You will learn about different Data Science methods, their applicability, and advantages and disadvantages of different techniques. You will have the knowledge and skills necessary to respond to the challenges and opportunities that emerge as massive data sets become increasingly available.