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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.

Entry requirements and application

General information on application, IT Faculty

Information on entry requirements and selection is found in the digital programme catalogue at University of Gothenburg, where you also find an "apply-button" for the programme, with a direct link to the application system:

Application, international round:

Applied Data Science, 120 hec

Application open between November 1 - January 15

Application, national round:

Applied Data Science, 120 hp

Application open between March 15 - April 18


Page Manager: Anneli Andersson|Last update: 4/18/2017

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