Data Science

In this course, students will learn the basics of Data Science, an interdisciplinary field of study that uses scientific methods, programming skills, and knowledge of mathematics and statistics to extract insight information from extensive data. Students will learn the basic knowledge of what data science is; its importance in today's data-driven world; describe the various paths that can lead to a career in data science; and learn basic skills involving libraries & packages, large data sets, machine learning models, and big data tools. This course fulfills the Mathematics requirement in the General Education Curriculum.

In this course, students will be exposed to practical and application-based experiences which will allow them to explore various approaches and methodologies in use today in the field of data science. They will learn cutting-edge approaches to creating and managing a data science project, and how those methodologies are most often applied in various types of projects. Prerequisite: DAT 210

In this course, students will have the opportunity to participate in a hands-on culminating experience that will allow them to gain valuable experience in the data science field. Students may either work with the instructor of the course to identify, develop, and carry out a data science project within the scope of the university or a community partner, or identify and complete an internship in the field of data science. In addition to completion of the project or working at the internship site, students will participate in regular meetings with the supervising instructor to enhance the experiential knowledge gained. Prerequisites: DAT 310, Senior standing, and Permission/Consent of Advisor.