Minor in Data Science

The Data Science minor is designed to provide students with hands-on experience of the concepts and techniques used in data science, including statistical methodology and data-oriented computing. The minor will provide students from all majors (including science, business, humanities, social sciences, education etc.) with the foundational skills to collect, process, analyze data, and think critically about data-driven problems in their respective disciplines. The minor has a requirement of 32 credits, consisting of 6 required courses (26 units) and 2 elective courses (6 units).

Requirements for a minor in Data Science (32 units)

Required Courses (26)
CSE 1300
Introduction to Data Science
and Introduction to Data Science Lab
CSE 2010Computer Science I4
CSE 2020Computer Science II4
MATH 2210Calculus I4
MATH 2220Calculus II4
MATH 2265Statistics with Applications3
Choose one of the following courses:3
CSE 5160Machine Learning
MATH 5360Statistical Methods for Machine Learning *
Electives (6)
Choose two courses from the following list:6
MATH 3465Computational Statistics *
MATH 4360Linear Statistical Models *
CSE 5120Introduction to Artificial Intelligence
CSE 5720Database Systems
Total Units32

*Note course have prerequisites. Completion of prerequisites or consent of instructor required.