Data Science, Minor

Data Science applies core concepts in computer science, statistics and mathematics to problems in a wide variety of fields, from physical, social, biomedical, and behavioral sciences to arts and humanities.  The minor targets students with strong analytical abilities and some existing programming experience, and requires courses in statistics, data-centric programming, data management, and data analysis.  It also points to courses across the University that deal with data in areas of importance to Data Science.

SEAS Second Major or Minor Option

Students interested in declaring a second major (College students only) or minor with SEAS should check the website of the department overseeing the major/minor for the requirements. Students are encouraged to reach out to the department staff if they have any questions or would like to discuss the requirements and/or their plan of completion. Students then must submit the Declare/Update Field of Study PATH form, which will go through multiple approval steps before the major/minor is added to the student's record. 

Data Science Minor

Core Requirements4
Programming Languages and Techniques I
Applied Machine Learning 1
Modern Data Mining
Machine Learning
Scalable and Cloud Computing
Big Data Analytics
Engineering Probability
Statistics for Data Science
Probability
Statistical Inference
Data Science Electives2
Two electives required from two of the categories below. Approval required.
Data-Centric Programming
Computational Data Exploration
Introduction to Scientific Computing
Foundations of Data Science
Statistical Computing with R 2
Data Analytics and Statistical Computing
Statistics
Statistics for Biologists
Discrete Probability, Stochastic Processes, and Statistical Inference
Engineering Probability
Probability
Applied Probability Models in Marketing
Data Collection, Representation, Management and Retrieval
Internet and Web Systems
Database and Information Systems
Crowdsourcing and Human Computation
Analytics in Excel VBA
Sample Survey Design
Data Analysis 1
Applied Machine Learning
Artificial Intelligence
Natural Language Processing
Machine Learning
Data and Analysis for Marketing Decisions
Experiments for Business Decision Making (Center Special Topic)
Predictive Analytics for Business 2
Forecasting Methods for Management
Modern Data Mining
Applied Econometrics I
Modeling
Theory of Networks
Models for Marketing Strategy
Stochastic Processes
Total Course Units6
1

Both CIS 4190/5190 and CIS 5200 cannot be taken for credit toward the minor.

2

STAT 4050 & STAT 4220 are 0.5 CU courses


The degree and major requirements displayed are intended as a guide for students entering in the Fall of 2025 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.