Applied Data Science
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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. 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.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.Applied Data Science is multi-disciplinary by nature, and the programme is designed to allow space for students to create their own profiles by choosing optional courses. Students can choose courses in areas where Data Science methods can be applied, or courses in technical areas that feature techniques and technologies that complement those introduced in the programme’s compulsory courses. Students are particularly encouraged to supplement the compulsory courses that provide a core in Data Science with optional second-cycle courses in the area of their first degree.
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Admissions Requirements
Applicants should have a bachelor's degree with a major in Data Science.Applicants from non-anglophone countries must provide proof of English proficiency.Application deadline for non EU students is January 15.
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Gothenburg
Västra Götaland County
411 34
Sweden
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