Mathematics of Data Science Sub-plan

Students pursuing the Mathematics of Data Science sub-plan explore one of the fastest-growing fields through courses in machine learning, data analysis, and statistical computing. At this time, the Mathematics of Data Science sub-plan is available for Bachelor of Science students only.

This sub-plan has the same lower-division requirements as the standard BS in Mathematics, with one exception: instead of MATH 2243, students are encouraged to take MATH 2142.

Sub-plan course requirements: BS Mathematics of Data Science Sub-plan (College of Science & Engineering)

• One Theoretical Algebra course
• MATH 5485: Numerical Methods I (discrete algebra course)
• MATH 5486: Numerical Methods II (math elective course)
• MATH 4242: Applied Linear Algebra (math elective course)
• MATH 5651: Theory of Probability and Statistics (analysis course)
• MATH 5465:  Mathematics of Machine Learning & Data Analysis I (analysis course)
• MATH 5466: Mathematics of Machine Learning & Data Analysis II (math elective course)
• One additional upper-division MATH course
• STAT 3021: Introduction to Probability and Statistics
• STAT 3301: Regression and Statistical Computing
• STAT 4051: Statistical Machine Learning I
• CSCI 5521: Machine Learning Fundamentals
• CSCI 5527: Deep Learning

More about the BS in Mathematics