Data Science and Analytics, Minor

Data science is the study of methods for extracting knowledge from data, combining programming, statistical, and communication skills. The Data Science & Analytics minor is intended for students who wish to complement their major field of study with data science skills. Students will learn the foundational data and programming tools, fundamental statistical inference methods, and modern machine learning approaches – with a focus on application in the social and natural sciences. The minor consists of six courses, three of which are foundational and must fall into specific components (data and programming, statistics, machine learning) and the remaining three are electives that must have a strong link to data science. The minor is not exclusive to a single department, but rather recognizes the wide range of data science courses available in SAS and helps students organize their coursework into a focused data science minor.


Introductory Data Science and Programming1
Data Science for Beginners
Criminal Justice Data Analytics (Or)
Data Science for Studying Language and the Mind
Introduction to Data Science
Computational Data Exploration
Data Science for the Humanities
Foundations of Data Science
Introduction to Computational Physics
Data Analytics and Statistical Computing
Math and Statistics1
Statistics for Biologists
Statistics for the Social Sciences I
Statistics for Economists
Introduction to Data-driven Modeling
Biological Data Science I - Fundamentals of Biostatistics
Engineering Probability
Data Analysis for the Natural Sciences I: Fundamentals
Statistical Methods PSCI
Social Statistics
Introductory Statistics
Applied Data Science1
Biological Data Analysis
Econometric Machine Learning Methods and Models
Applied Data Science
Introduction to Bayesian Data Analysis
Modern Data Mining
Applied Machine Learning
Data Analysis for the Natural Sciences II: Machine Learning
Astronomical Techniques
Introduction to Computational Biology & Biological Modeling
Computational Text Analysis for Communication Research
GIS: Mapping Places & Analyzing Spaces
Artificial Intelligence
Database and Information Systems
Big Data, Memory and the Human Brain
Phonetics II: Data Science
Computer Analysis and Modeling of Biological Signals and Systems
Ethics of Artificial Intelligence
Physical Models of Biological Systems
Survey Research and Design
Health of Populations
Text Analytics
GIS Applications in Social Science
Total Course Units6

The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2023 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.