Data Analytics A.B.
Chair Department of Mathematics and Statistics: Associate Professor Beuerle
Associate Chair: Professor L. Taylor
The Department of Mathematics and Statistics offers programs leading to the Bachelor of Arts or Bachelor of Science degree with a major in Applied Mathematics, Data Analytics, Mathematics or Statistics. With an A.B. in Data Analytics students will be exposed to methods and issues related to managing and analyzing data. This particular degree is meant to be interdisciplinary in nature with requirements in mathematics, statistics, computer science, and a requirement of a supporting additional major or minor.
Major Requirements
Foundations: 28 sh
| STS2120 | Statistics in Application | 4 sh |
| STS2300 | Introduction to Data Analytics | 4 sh |
| STS2320 | Statistical Modeling | 4 sh |
| STS3270 | Statistical Computing for Data Management | 4 sh |
| STS3300 | Statistical Methods for Data Analytics | 4 sh |
| CSC1100 | Data Science and Visualization | 4 sh |
| MTH2300 | Mathematical Methods for Data Analytics | 4 sh |
Capstone Requirement: 4 sh
Students will be required to complete either
STS 4980 or
approved capstone focusing on data analytics from another major or minor.
Electives: 8 sh
Take 2 of the following courses; at least 4 sh must be taken at the 3000-level or higher.
| BUS2110 | Management Information Systems | 4 sh |
| CSC1300 | Computer Science I | 4 sh |
| CSC3211 | Database Systems | 4 sh |
| CSC4422 | Data Mining and Machine Learning | 4 sh |
| ECO4400 | Economic Consulting | 4 sh |
| FIN4230 | Financial Modeling with Excel | 4 sh |
| GEO2500/ENS2500 | Introduction to GIS: Vector | 4 sh |
| MEA3800 | Advanced Media Analytics | 4 sh |
| MGT3100 | Foundations of Business Analytics | 4 sh |
| MGT4110 | Data Wrangling | 4 sh |
| MGT4245 | Emerging Technologies in Business Analytics | 4 sh |
| MGT4250 | Data Visualization and Storytelling | 4 sh |
| MGT4260 | Data Mining for Managerial Decision Making | 4 sh |
| MKT4260 | Marketing Analytics | 4 sh |
| PUB3010 | Policy Analysis | 4 sh |
| SPT2320 | Sport Data and Research | 4 sh |
| STS3470 | Statistical Computing for Simulation and Theory | 4 sh |
For other courses in this category, seek approval from the Chair of the Department of Mathematics and Statistics.
Additional Requirement
Students must complete a full minor or a second major in another discipline. A major in statistics with a concentration in data analytics or minor in computer science, data science, or statistics does not count toward fulfillment of this requirement.
Total Credit Hours: 40
Program Outcomes
Students should be able to construct models to analyze data using common data analytics approaches.
Students should be able to use at least two different statistical software or programming languages to manage, analyze, or present data.
Students should be able to design computationally reproducible data management and analysis workflows using best practices.
Students should be able to evaluate the importance of data analytics and the role it plays in making informed, data-driven decisions in at least one discipline beyond Data Analytics.
Students should be able to discuss current ethical issues in data, such as data collection, management, analysis, and interpretation.
Students should be able to articulate data analytics ideas, methods, and results to technical and non-technical audiences.