The Minor in Data Science at Mount St. Joseph University provides students with the skills to discover, analyze, and visualize data in new and exciting ways. It is intended to give students a solid foundation in programming, statistics and analytics. In addition, the minor is designed to provide students with the ability to extract knowledge from data using popular languages such as Python and R, and interpret the data for the purpose of decision making.
Since data now drives many industries and the ability to work with data has become a critical skill in a variety of fields of study, the data science minor is a natural complement to any major. Essentially, a student with a data science minor will be better prepared for the workplace of the future.
The minor requires 23 credit hours in the Mathematics and Computer Science departments.
Program Requirements
- INF 120 Principles of Programming I (3)
- INF 221 Principles of Programming II (3)
- INF 230 Database Design and Development (3)
- INF 378 Machine Learning and Data Mining (3)
- MTH 193 Calculus (4) CMA
- MTH 320 Probability/Statistics (4)
- INF 324 Data Structures (3)
- INF 331 Applied Database (3)
- INF 377 Automata (3)
- MTH 220 Discrete Mathematics (3)
- MTH 301 Mathematical Modeling (3)
Restriction: Computer Science students cannot use this minor as their required minor for the major since they can receive it with just one additional course. However, they can still receive the minor as a secondary minor, but only if they choose MTH 301 as their elective.
Students Learn How to:
- Collect data
- Understand data in various formats
- Scrape data from web sites or mine large datasets
- Transform data into data structures used in analysis
- Draw meaning from data
- Visualize data for enhanced understanding
- Statistically analyze data to summarize, draw inferences, and make predictions
- Discover and characterize patterns in large data sets