Data Analytics A.B.
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, media analytics, and a requirement of a supporting additional major or minor.
Foundations
The following courses are required
| STS 2120 | STATISTICS IN APPLICATION | 4 sh |
| STS 2320 | STATISTICAL MODELING | 4 sh |
| STS 3270 | STATISTICAL COMPUTING FOR DATA MANAGEMENT | 4 sh |
| STS 3470 | STATISTICAL COMPUTING FOR SIMULATION AND THEORY | 4 sh |
| CSC 1100 | DATA SCIENCE AND VISUALIZATION | 4 sh |
| MTH 2300 | MATHEMATICAL METHODS FOR DATA ANALYTICS | 4 sh |
| STS 3300 | STATISTICAL METHODS FOR DATA ANALYTICS | 4 sh |
Electives
Students should take 2 of the following courses
Note: Some classes have additional pre-reqs not met by the foundations, these are noted in parentheses below.
- CSC 3211: Database Systems (pre-req: CSC 1300)
- CSC 4422: Data Mining and Machine Learning (pre-req: CSC 3211 and either CSC 2300 or instructor permission)
- ECO 4400: Economic Consulting (pre-req: ECO 3200, ECO 3300 and ECO 3120 or ECO 3100)
- MGT 3100: Big Data Analysis (pre-req: BUS 2110)
- PST 3010: Policy Analysis (pre-req: PST 2250)
Capstone Requirement
Students will be required to complete either STS 4980 or approved capstone focusing on data analytics from another major or minor.
Additional Requirements
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.
Program Outcomes
To prepare students to manage and analyze large data sets.
To prepare students to think analytically in real-world applications, supporting their actions with ethical decisions from data.
To prepare students to employ principles of descriptive and predictive analytics to address real-world challenges.
To prepare students to articulate analytical conclusions and recommendations in written, oral, and visual formats.
Total Credit Hours: 40