Data Science Applied Analytics Major (M)
This program will develop in students knowledge and skills needed to ethically manipulate and effectively analyze data, both large and small, revealing insights into problem domains.
In addition to the required courses for the major, students majoring in DSAA may select a concentration in Public Health, Environmental Issues, or Sports and Human Performance to learn context, vernacular, and key issues of a particular field. The concentrations will be noted as an "emphasis" on students' transcripts.
Program Learning Outcomes
- Ethical approach to Data Analysis
- Selection and execution of stats software
- Discern algorithms and tools
- Application to problems
- Communication of solutions
Curriculum
| Code | Title | Hours |
|---|---|---|
| Core Requirements 1 | 45 | |
| Major Requirements | 53 | |
| Emphasis/Electives | 22 | |
| Total Hours | 120 | |
- 1
For transfer students, please see the Advanced Transfer Core.
Major Requirements
| Code | Title | Hours |
|---|---|---|
| MATH 201 | Calculus I | 4 |
| MATH 202 | Calculus II | 4 |
| MATH 205 | Statistics I | 3 |
| MATH 220 | Discrete Math | 3 |
| MATH 305 | Statistics II | 3 |
| CSC 200 | Coding I- Fundamentals | 3 |
| CSC 250 | Coding II - Algorithms | 3 |
| CSC 300 | Coding III- Data Structures | 3 |
| CSC 410 | Computational Dilemmas | 3 |
| CSC 430 | Database Fundamentals | 3 |
| COMM 335 | Technical Writing and Speaking | 3 |
| COMM 435 | Critical Thinking and Information Dissemination | 3 |
| DSAA 200 | Introduction to Data Science and Analysis | 3 |
| DSAA 300 | Data Mining and Predictive Analysis | 3 |
| DSAA 310 | Visual Analytics | 3 |
| DSAA 400 | Senior Research Seminar | 3 |
| DSAA 499 | Internship | 3 |
| Total Hours | 53 | |