Minor in Data Science
Data science is a multidisciplinary field that uses algorithms, scientific knowledge and machine learning principles to extract hidden patterns from raw data. A minor in Data Science will give students digital skills that can be applied to any field within/outside their major. Currently we are in an age where there is an abundance of data but very few professionals are prepared to analyze these data. The minor in data science will prepare interdisciplinary professionals to develop a career in the ever-changing world of data.
Summary of Requirements
Required pre-minor courses 6-7 credits
| DAS 101 | Introduction to Data Analysis | 3 |
| | and | |
| MAT 102 | Introductory Probability and Statistics | 3 |
| | Or | |
| MAT 130 | Precalculus | 4 |
A student must complete prerequisites with a grade of C or better before declaring a minor in Data Science.
Required minor courses 3 credits
Elective minor courses 6 credits
Choose two from the following:
| CHE 240 | Computer Applications for Scientists | 3-4 |
| DAS 221 | Data Visualization | 3 |
| DAS 231 | Genomics and Bioinformatics | 3 |
| DAS 532 | Fundamentals of Geographic Information Systems | 3 |
Required Statistics Course 3 credits
Choose one of the following:
| MAT 142 | Introductory Probability and Statistics for Science and Information Technology | 3 |
| MAT 211 | Biostatistics | 3 |
| PSY 331 | Statistics for Behavioral Sciences | 3 |
| SOC 375 | Statistics I | 3 |