Research Methods for Data Science
Course
DIT875
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.