Research Methods for Data Science
Course
Master’s level
7,5 credits (ECTS)
About
The following topics are covered in the course:
- technical writing in data science, being practiced on a topic of free choice and on a research proposal
- structuring a scientific text
- communicating a topic to different audiences
- theories on ethics, with examples from data science
- identification and analysis of ethical and societal issues in data science
- ethics and good practice in research and publishing
Prerequisites and selection
Requirements
To be eligible to the course, the student should have a Bachelor's degree, and have successfully completed 15 credits of courses within the subject Data Science. Applicants must prove knowledge of English: English 6/English B or the equivalent level of an internationally recognized test, for example TOEFL, IELTS.
Selection
Selection is based upon the number of credits from previous university studies, maximum 225 credits.
For admission to the summer 2021 and onward the following selection applies: selection is based upon the number of credits from previous university studies, maximum 165 credits.