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.
| Item Type: | Journal article |
|---|---|
| Faculties: | Mathematics, Computer Science and Statistics > Statistics Mathematics, Computer Science and Statistics > Statistics > Chairs/Working Groups > Chair of Statistics - Methodology and Applications in Economics, Social and Life Sciences |
| Subjects: | 000 Computer science, information and general works > 004 Data processing computer science 500 Science > 510 Mathematics |
| ISSN: | 2364-4168; 2364-415X |
| Language: | English |
| Item ID: | 43193 |
| Date Deposited: | 17. Apr 2018 14:04 |
| Last Modified: | 04. Nov 2020 13:18 |
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