DS 000DATA SCIENCE ELECTIVE
Elective course in Data Science. Permission of the Chairperson is required.
- Subject
- DS
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- www.stvincent.edu
Saint Vincent College · Courses
DS
8 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 099DATA SCIENCE AND SPORTS1
As every sports fan knows, the sports world is full of statistics and data. From simple win-loss records, to the number of goals by right- handed defensemen during the 3rd period. This course introduces the process of data science through the lens of predicting outcomes in professional sports. Leave "gut feelings" to the pundits; in this course you will make predictions based on data. Learn to collect, clean, summarize, visualize, and analyze data, and use that data to build predictive models. This course will emphasize the concepts and thought processes involved in data science rather than the underlying mathematical/statistical theory. As such, no mathematical background beyond algebra is required and no prior computer coding experience is required.
- Subject
- DS
- Credits (min)
- 1
- Credits (max)
- 1
- Credit unit
- credit
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- www.stvincent.edu
DS 100Intro to Data Science and Analytics
MA-111 or Calc l (T1 SLO3) 109***
- Subject
- DS
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- www.stvincent.edu
DS 300Methods of Data Science and Analytics3
Choose two elective courses (2 courses/ 6 credits):
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- www.stvincent.edu
DS 350DATA MINING3
A course covering data mining concepts, methodologies, and programming. Topics include decision tables and trees, classification and association rules, clustering, pattern analysis, and linear and statistical modeling. Additional topics may include data cleaning and warehousing and techniques for text and web mining.
- Subject
- DS
- Credits (min)
- 3
- Credits (max)
- 3
- Credit unit
- credits
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- www.stvincent.edu
- Prerequisite
- DS 300 and either MA 242 or BA 351. Fall Semesters.
DS 370Deep Learning & Other Advanced
Data Science Algorithms 3
- Subject
- DS
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- www.stvincent.edu
DS 400DATA SCIENCE AND ANALYTICS CAPSTONE
Students will work in teams to complete a data analysis project through all the project stages including developing appropriate questions, data mining, cleansing, and transformation, appropriate l analysis using data tools, visualization of the results of the analysis, and communication to the client. Students will also explore responsible conduct of research and other ethical considerations.
- Subject
- DS
- Type
- course
- Edition
- 2025-2026-undergraduate
- Source
- www.stvincent.edu
- Prerequisite
- DS-370 or BA-355. Spring Semesters. 3 credits
DS 550DATA SCIENCE INTERNSHIP
Work experience program extending the learning experience beyond the college into the world of work. Students are employed in an area related to their academic endeavor. Academic credits are awarded according to the extent of the work experience. Students may or may not be paid depending on the site. The purpose of the program is to integrate academic studies and employment activities. May be repeated. Variable credit.
- Subject
- DS
- Type
- course
- Repeatable
- May be repeated.
- Edition
- 2025-2026-undergraduate
- Source
- www.stvincent.edu
Source: Saint Vincent College's catalog, linked per course · table learning_unit · CourseShelf publish 59