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 a second major (College students only) or minor with SEAS are required to meet with the Undergraduate Curriculum Chair from the major/minor department you wish to declare to discuss requirements and obtain approval on the Second Major or Minor form. The approved form must be returned to the SEAS Research and Academic Services Office, 109 Towne Building.

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
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
Business Computer Languages
Statistical Computing with R 2
Data Analytics and Statistical Computing
Statistics for Biologists
Discrete Probability, Stochastic Processes, and Statistical Inference
Engineering 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
Machine Learning
Natural Language Processing
Data and Analysis for Marketing Decisions
Special Topics: Experiments for Business Decision Making
Decision Support Systems
Predictive Analytics for Business 2
Forecasting Methods for Management
Modern Data Mining
Modern Regression for the Social, Behavioral and Biological Sciences
Applied Econometrics I
Theory of Networks
Models for Marketing Strategy
Computer Simulation Models
Mathematical Modeling and its Application in Finance
Stochastic Processes
Total Course Units6

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


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 2023 and later. Students should consult with their academic program regarding final certifications and requirements for graduation.