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|
|Select one of the following: 1||12|
|Introduction to Probability I|
and Introduction to Probability II
|Introduction to Statistical Methods in Economics|
|Probability and Random Variables|
|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|
|Optimization Methods in Business Analytics|
|Topics in Mathematics with Applications in Finance 2|
|IDS.012||Statistics, Computation and Applications||12|
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.