Minor in Statistics and Data Science

Statistics, the science of making inferences and decisions under uncertainty, is becoming increasingly relevant in the modern world due to the widespread availability of and access to unprecedented amounts of data and computational resources. Unlike classical statistics, the need to process and manage massive amounts of data has become a key feature of modern statistics. This aspect of managing and processing data is popularly referred to as “data science.”

Through six required subjects, the Minor in Statistics and Data Science provides students with a working knowledge base in statistics, probability, and computation, along with an ability to perform data analysis.

Select one of the following:6-12
Engineering Mathematics: Linear Algebra and ODEs
Introduction to Computer Science and Programming
Introduction to EECS via Robot Sensing, Software and Control
Differential Equations
Linear Algebra
Statistics 1
Select one of the following: 112
Introduction to Probability I
and Introduction to Probability II
Introduction to Statistical Methods in Economics
Probability and Random Variables
Statistics 2
Select one of the following:12
Statistical Thinking and Data Analysis
Statistics for Applications
Computation & Data Analysis
Select two of the following:24
Numerical Computation for Mechanical Engineers
Introduction to Machine Learning
Foundations of Computational and Systems Biology
Advances in Computer Vision
Advanced Econometrics
Optimization Methods in Business Analytics
Topics in Mathematics with Applications in Finance 2
Capstone Subject
IDS.012Statistics, Computation and Applications12
Total Units66-72

Consult minor advisor about potential substitutions.


Subject has prerequisites that are outside of the program. 

A minimum of four subjects taken for the Statistics and Data Science Minor cannot also count toward a major or another minor.

See the Statistics and Data Science Minor webpage for additional information. Inquiries about the undergraduate program may be directed to the IDSS Academic Office.