The minor in data science is designed for STEM-focused students looking to broaden their skillset with data science tools and techniques in data visualization, statistical analysis, and programming. Students can explore a variety of topics in their upper-level courses including machine learning, high-performance computing, and building predictive models.
Considering the growing importance of data science skills for the current and future workforce, a data science minor will complement a variety of majors including crime and justice, political science, business, psychology, biology, and physics, to name a few. Engineers of all types are also well suited for the data science minor, and most of our graduate students come from a background in mathematics, engineering, or physics.
In successfully completing the data science minor, students will learn to:
- understand and apply contemporary techniques for managing, mining, and analyzing big data across multiple disciplines
- use computation and computational thinking to gain new knowledge and to solve real-world problems of high complexity
- communicate their ideas and findings persuasively in written, oral, and visual form and to work in a diverse team environment
- be well prepared for graduate school or employment by having a unique skillset that differentiates them in a job applicant pool