Statistics, Data Science, B.S.
What You'll Learn
- Processing large data sets and programming for data-intensive applications
- Model diagnostics and forecasting
- Data management and mining
- Classification and regression trees
- Logistic regression and neural networks
- Methodologies for statistical learning including generalized logistic and ridge regression and hierarchical clustering
- Database design and management including data modeling, relational theory, etc.
What You Can Do
| Job | What They Do |
|---|---|
| Data Analyst | Collect, process, and perform statistical data analyses with the goal of helping companies make better decisions |
| Business Analyst | Improve business processes by serving as a liaison between business and IT with a clear directive to focus on advancing strategic business objectives |
| Marketing Analyst | Study information to better assist companies in making informed decisions about market opportunities |
| Data Architect | Create blueprints for data management systems to integrate, centralize, protect, and maintain data sources |
| Data Mining Specialist | Identify patterns and relationships in data to help a company predict future behaviors and make more intelligent, data-driven decisions |
| Machine Learning Engineer | Program computers to accept real-world data from real people utilizing technology and determine from that data the person's likes and tendencies with the goal of placing more relevant advertisements in front of customers |
| Database Developer | Design, program, construct, and implement new databases, as well as modify existing databases for platform updates and changes in user needs |
Required Courses
- General Education Requirements
- Statistics Core
- Analytic Geometry-Calculus I, II, and III, Programming for Data Science/Computer Science I, Theoretical Statistics I and II, Applied Statistics/Introductory Statistics I & II, Applied Regression and ANOVA, Statistical Data Management, Statistical Consulting
- Data Science Electives (Choose 4)
- Introduction to Bioinformatics, Time Series Analysis, Advanced Statistical Computing, Introduction to Machine Learning, Applied Analytics-Decision Trees, Database Management for Information Systems
- Statistics Electives
- Stat-DS Requirements Flow Chart
