This offering is not in the current catalogue. The information is retained from an earlier publication. Check the provider's current offering.
University of Gothenburg
Research Methods for Data Science
<p>The following topics are covered in the course:</p> <ul> <li>technical writing in data science, being practiced on a topic of free choice and on a research proposal </li> <li>structuring a scientific text </li> <li>communicating a topic to different audiences </li> <li>theories on ethics, with examples from…
- Higher education
- Information unavailable
- 4 November 2024
- Information unavailable
- Information unavailable
- 50 %
Overview
<p>The following topics are covered in the course:</p> <ul> <li>technical writing in data science, being practiced on a topic of free choice and on a research proposal </li> <li>structuring a scientific text </li> <li>communicating a topic to different audiences </li> <li>theories on ethics, with examples from data science </li> <li>identification and analysis of ethical and societal issues in data science </li> <li>ethics and good practice in research and publishing</li> </ul>
Admission scores
Entry 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.
The text is reproduced from the Susa source. Antagningsdata does not map GY11 and GY25 or assess personal eligibility.
Source, measure and data quality
- Source
- Skolverket Susa-navet
- Period
- 2024-11-04
- Measure
- Entry-requirement text reproduced from the published Susa data; no personal eligibility assessment is made.
- Population
- Education offering e.uoh.gu.dit875.48630.20242
- Last checked
- 2026-09-23T10:36:42.164498+00:00
- Limitation
- Antagningsdata does not map GY11 and GY25. General and specific conditions are not separated without structured source data.
Programme content
Study structure
Application and important dates
- Programme or course starts
- Programme or course ends
Salary and salary distribution
Common occupations after graduation
Students
Geographical background
Previous upper-secondary schools and programmes
Completion and outcomes
About the provider
Sources and data quality
Education facts for the selected offering come from Skolverket Susa-navet.
Retrieved . Published . Times are shown in Swedish local time.
Source identity and publication version
- Publication version
- 8e217193-f5fa-4778-b085-a4521fd03e8d
- Education identity in the source
- i.uoh.gu.dit875.48630.20242
- Offering identity in the source
- e.uoh.gu.dit875.48630.20242
- Education-form source code
- HS
- Education code in the source
- DIT875
- Change time according to the source
- 2024-03-04T11:57:06
The provider, education and education offering are separate identities. Application information should be checked on the official website. Supplementary statistics have not been obtained from this source.