Data Science minor

The Data Science minor will encourage students to gain valuable experience and preparation for the growing field of Data Science, an interdisciplinary field combining elements of mathematics, statistics, and computing. Through completing the minor, students will

  • learn how to acquire and manage "big data"
  • learn how to use foundational tools of statistical science and machine learning
  • gain technical expertise in programming using R and Python
  • explore applications of data science in their chosen major disciplines

Data Science minor requirements (18 credits)

Required Courses
MTH 360Elementary Probability and Statistics3
or MTH 361 Probability and Statistics in the Health Sciences
MTH 362Statistical Modeling3
MTH 365Introduction to Data Science3
MTH 366Machine Learning3
CSC 221Introduction to Programming3
or CSC 222 Object-Oriented Programming
One additional course chosen from the following: 3
ANT/SOC 570
Introduction to Geographic Information Systems
BIA 472
Visual Analytics and Visualization
BIA 480
Business Analytics
BIA 484
Data Mining Techniques
BIA 485
Applications of Artificial Intelligence
BIO 501
Bioinformatics: Genomics Approach
CSC 321
Data Structures
CSC 421
Algorithm Design and Analysis
ECO 418
Econometrics
ECO 433
Regional Economic Analysis
FIN 505
Financial Modeling
HIS 316
Introduction to Digital Humanities
HIS 435
Digital Cultures
MKT 343
Marketing Research
MKT 479
Seminar in Marketing
MTH 561
Mathematical Statistics I
PHY 553
Computational Physics
PLS 421
Public Opinion, Political Behavior And Survey Research
PSY 370
Applying Research Methods and Statistics in Psychology
Total Credits18