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):
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 465 | 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 |
or CSC 542 | Database Design and Security | |
One additional course chosen from the following: | 3 | |
Data Structures | ||
Database Design and Security | ||
Building Generative AI Applica | ||
Data Visualization | ||
Statistical Modeling | ||
Mathematical Statistics I | ||
Total Credits | 18 |