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):*

Course List

Code	Title	Credits
Required Courses
CSC 221	Introduction to Programming	3
or CSC 222	Object-Oriented Programming
DSC 365	Introduction to Data Science	3
DSC 366	Machine Learning	3
MTH 360	Elementary Probability and Statistics	3
or MTH 361	Probability and Statistics in the Health Sciences
MTH 362	Statistical Modeling	3
One additional course chosen from the following:		3
BIA 472	Visual Analytics and Visualization
BIA 484	Machine Learning
BIO 501	Bioinformatics
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
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 Credits		18

*

Kingfisher Concentration requirements: Choose any 9 credits from list above.