University of Wisconsin-Madison College of Letters & Science 65 courses
Students in the Data Science certificate develop abilities such as data management, reproducibility, modeling strategies, and ethical considerations of data science to be paired with their knowledge gained from their major or domain area. The certificate is a great fit for students who like programming, want to learn data analysis, and seek to be high-end users of data science tools in domain areas. Data science is one of the fastest growing career sectors in Wisconsin and across the nation.
Foundation Courses
| Code | Course Title | Credits |
|---|---|---|
| COMP SCI 220 or COMP SCI 320 | Data Science Programming I or Data Science Programming II | 4 |
| STAT 240 | Data Science Modeling I | 4 |
| E C E 204 | Data Science & Engineering | 3 |
| L I S 461 or E C E 570 | Data and Algorithms: Ethics and Policy or Ethics of Data for Engineers | 3 |
| L I S 462 or PHILOS 244 | Data and Algorithms: Ethics and Policy (Communications Intensive) or Introductory Artificial Intelligence (Ai) and Data Ethics | 4 |
| Total Foundation Courses | 10-12 credits | |
Elective Courses
Click a course code or title to read the full course description.
Our subject experts help with essays, research papers, case studies, discussion posts, and capstone projects for these programs β written from scratch to your course requirements.
Program and course information is reproduced from each university's published academic catalog for informational purposes and may change. Always confirm current requirements with your university. We are an independent academic support service and are not affiliated with or endorsed by the universities listed.
Expert guides on essay writing, citation styles, study skills, and academic success.
View All Articles
Learn how to write a good research question for a paper. Narrow your topic, identify a research problem, and create a focused question with practical examples.
Learn how to choose a research topic you can actually research. Discover how to narrow broad ideas, find reliable sources, and develop a focused research question.
Learn how to cite sources in a research paper using APA, MLA, and Chicago styles, with in-text citation examples and reference-list tips.