Pathways to Data Science
Data Science Major
Our major in Data Science prepares students for a variety of data-related careers by providing in-depth and hands-on course work in programming, applied statistics, data management, data visualization, ethics, and machine learning.
Data Science Minor
Our minor in Data Science is a six course sequence that focuses on developing students expertise with core Data Science tools and techniques. The minor is designed to be a great supplement to any major that involves the use of data for exploration or decision making.
Data Analytics Certificate
Our certificate in Data Analytics is a three course sequence that focuses on introductory programming, statistics, and data visualization. It is ideal for students interested in developing their data analytic skills and will expose students to a variety of commonly used data analytic tools and techniques.
The Student Experience
Project-Based Application-Focused Learning
Our Data Science courses emphasize learning with real-world data and student projects that can make an impact beyond the classroom. We work with community partners, including non-profits, local government, and businesses or all sizes to develop Data Science projects that allow students to learn by doing. Students work on every part of developing projects for our community partners, from data cleaning, to analysis, to the final presentations.
Small Classes with Experienced Faculty
Our students don't get lost in the crowd. Our typical Data Science class has fewer than 20 students. Small class sizes allows us to move beyond just lectures and offer many opportunities for one-on-one interaction with faculty. Our faculty have deep expertise in teaching the foundations of Data Science including Computer Science, Mathematics, and applied Statistics.
Our faculty have earned Ph.D.s from leading institutions including University of Michigan,
Purdue University, the University of Wisconsin, Madison, and Auburn University. Faculty
research interests include: a). algorithmic number theory and its applications to
cryptography, b). infeasible constraint systems, c). high-throughput systems for collection
and analysis of behavioral data, d). decompositions, embeddings, and labelings of
graphs, digraphs, and hypergraphs.
Proven Career Outcomes
Our recent graduates have found employment in the private sector, with companies such as Price Waterhourse Cooper, Deloitte, and State Farm, and in state and local government, including the Federal Bureau of Investigation. Our graduates have also gone on to top graduate programs in a variety of data-related fields including programs in Accounting, Data Science, and Business.
