DS 188Special Topics in Data Science1
Special topics course offered in response to student and faculty interest.
- Subject
- DS
- Credits (min)
- 1
- Credits (max)
- 1
- Type
- course
- Edition
- 2026
- Source
- catalog.meredith.edu
Meredith College · Courses
DS
13 courses with the subject DS, each shown exactly as we captured it from the college's catalog, with every element we hold. Where the wording looks broken, that is our reading of the catalog, not the college's text.
DS 200Introduction to Data Analysis3
A general introduction to data analysis that covers a broad selection of methodologies for working with data. Topics will be chosen from sources of data, exploratory data analysis, data visualization, cleaning and preparing data, inference, and regression. Students will use statistical analysis technology. Particular topics related to analyzing data, such as ethics and communication of results, are highlighted.
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026
- Source
- catalog.meredith.edu
DS 210Foundations of Data Science3
DS-299 or DS-499 3
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2024-2025-undergraduate
- Source
- catalog.meredith.edu
DS 288Special Topics in Data Science
Special topics course offered in response to student and faculty interest. Credits 1 -3
- Subject
- DS
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- catalog.meredith.edu
DS 299Introduction to Data Science Research1
This course will provide opportunities for freshmen and sophomores to participate in original research in data science. Students will submit findings in a written report and/or will give a presentation. Students will be expected to work approximately three hours per week on the research project for each semester hour of credit.
- Subject
- DS
- Credits (min)
- 1
- Credits (max)
- 1
- Type
- course
- Edition
- 2026
- Source
- catalog.meredith.edu
DS 310Foundations of Data Science3
Implementation of principles and techniques of data science, including advanced programming projects. Topics will be chosen from data visualization, data wrangling and cleaning, regression, and classification. Industry best practices, such as ethical decision-making and communication of results, will be discussed.
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026
- Source
- catalog.meredith.edu
DS 388Special Topics in Data Science1
Special topics course offered in response to student and faculty interest.
- Subject
- DS
- Credits (min)
- 1
- Credits (max)
- 1
- Type
- course
- Edition
- 2026
- Source
- catalog.meredith.edu
DS 410Machine Learning3
A general introduction to machine learning that covers the theoretical foundations of various supervised and unsupervised learning techniques, as well as principled methods for assessing and comparing models. Emphasis is placed on practical applications via programming assignments in a high-level language. Credits 3
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- catalog.meredith.edu
DS 450Topics in Data Science3
Topics chosen from current topics in data science. May be repeated for credit. t Credits 3
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Repeatable
- May be repeated for credit.
- Edition
- 2025-2026-undergraduate
- Source
- catalog.meredith.edu
DS 480Data Science Internship1-3
Supervised experience in business, governmental, or non-profit institutions where work is related to student interest in data science. May be repeated for a total of credit hours. Pass/fail grading only. Credits 1 -3
- Subject
- DS
- Credits (min)
- 1
- Credits (max)
- 3
- Type
- course
- Repeatable
- May be repeated for a total of credit hours.
- Edition
- 2025-2026-undergraduate
- Source
- catalog.meredith.edu
DS 488Special Topics in Data Science1
Special topics course offered in response to student and faculty interest.
- Subject
- DS
- Credits (min)
- 1
- Credits (max)
- 1
- Type
- course
- Edition
- 2026
- Source
- catalog.meredith.edu
DS 498Honors Thesis in Data Science3
With a faculty mentor, the student will formulate and execute an original research project in data science that will culminate in a paper and a presentation. The research project must meet Honors Program thesis requirements as well as the expectations of the faculty mentor.
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2026
- Source
- catalog.meredith.edu
DS 499Data Science Research1-3
Sub-Total Credits 2-6 Criminology and Sociology (Double
- Subject
- DS
- Credits (min)
- 1
- Credits (max)
- 3
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- catalog.meredith.edu
Source: Meredith College's catalog, linked per course · table learning_unit · CourseShelf publish 61