Data Science: a proposal for a curriculum

Kauermann, Göran und Seidl, Thomas (19. März 2018): Data Science: a proposal for a curriculum. In: International Journal of Data Science and Analytics

Abstract

We define Data Science as the combination of statistical and computational data analytic approaches. We argue that only this combination allows to tackle the many problems occurring in today’s Big Data era. We outline a possible curriculum, which focuses on both statistics and computer science aspects of data analytics. The proposed curriculum is implemented in the Data Science master program run at the University Munich (www.datascience-munich.de). We also argue that data ethical aspects as well as practical and communication skills are essential in a modern Data Science study program.

• Dokumententyp: Zeitschriftenartikel
• Fakultät: Mathematik, Informatik und Statistik > Statistik ; Mathematik, Informatik und Statistik > Statistik > Lehrstühle/Arbeitsgruppen > Lehrstuhl für Statistik und ihre Anwendungen in Wirtschafts- und Sozialwissenschaften
• Themengebiete: 000 Informatik, Informationswissenschaft, allgemeine Werke > 004 Informatik ; 500 Naturwissenschaften und Mathematik > 510 Mathematik
• ISSN: 2364-4168; 2364-415X
• Sprache: Englisch