Course Descriptions

Courses numbered 1000-1999 are open to freshmen; 2000-2999 to sophomores; 3000-3999 to juniors; 4000-4999 to seniors. It is recommended that students elect courses in the years for which they are listed. Freshmen will be admitted to courses above the 2000 level only with the consent of the instructor and the student’s advisor. Juniors and seniors taking freshman courses may be expected to do additional work. Any course above 4999 is a graduate course.

NOTE:
The number in parentheses following the course title indicates the semester hours of credit assigned to the course.
An H following the course number indicates an honors level course.

XDSCI 2100
Data Science I [Course] (3)
This course is an introduction to data science in Python. You'll use advanced visualization and predictive modeling tools to turn raw data into actionable insights. You will also learn how to use SQL to navigate databases. This course is an online course offered via RWU's partnership with Rize, an education company seeking to prepare students for careers in the fastest-growing fields. The partnership allows students to earn RWU credit toward in-demand degree programs. Courses are designed by top academics and industry leaders, vetted by RWU, and taught by faculty at other colleges and universities

XDSCI 2200
Data Science II [Course] (3)
This course is intended as a continuation of Data Science I. This course takes a deep dive into machine learning models, natural language processing, and time series in Python. This course is an online course offered via RWU's partnership with Rize, an education company seeking to prepare students for careers in the fastest-growing fields. The partnership allows students to earn RWU credit toward in-demand degree programs. Courses are designed by top academics and industry leaders, vetted by RWU, and taught by faculty at other colleges and universities

XDSCI 3100
AI and Machine Learning [Course] (3)
This course is a technical approach to cutting-edge AI methods. Students will productionize machine learning models to solve business problems, evaluate modern AI use cases (such as computer vision) and adapt Large Language Models (LLMs) for specific applications. This course is an online course offered via RWU's partnership with Rize, an education company seeking to prepare students for careers in the fastest-growing fields. The partnership allows students to earn RWU credit toward in-demand degree programs. Courses are designed by top academics and industry leaders, vetted by RWU, and taught by faculty at other colleges and universities

XDSCI 3600
Data Science Practicum [Course] (3)
This course is a capstone project in which students are asked to work through a full data science workflow using real-world data. This course exists to prepare students for the kind of work they will do on Data Science teams, and as such also features an emphasis on interviewing for jobs in the space and communicating results to stakeholders. This online class has optional live sessions. This course is an online course offered via RWU's partnership with Rize, an education company seeking to prepare students for careers in the fastest-growing fields. The partnership allows students to earn RWU credit toward in-demand degree programs. Courses are designed by top academics and industry leaders, vetted by RWU, and taught by faculty at other colleges and universities