Data Science AAS
This comprehensive program provides a strong foundation in mathematics, science, and engineering principles, preparing students for a seamless transition to four-year degree programs. Program Educational Outcomes Upon completion the student is prepared to: 1. Analyze data to identify patterns and trends. Apply industry-standard data science tools (e.g., Python, R, SQL) to process, analyze, and visualize data. Understand ethical, legal, and privacy considerations in data collection, analysis, and sharing, particularly in relation to handling personal or sensitive data.
Courses
- ENG 101
- ENG 105 — prerequisites. INS 250 Western Thought and Culture I
- COM 100 — . COM 205 Intercultural Communication
- CPT 166 — Fundamentals of Structured Query Language
- ENG 201 — Technical Writing
- MAT 236 — Statistics for STEM
- MAT 163 — Calculus I
- MAT 164 — Calculus II
- MAT 29
- CPT 254 — Data Structures and Algorithms
- ECO 201 — Introduction to Macroeconomics
- ECO 202 — Introduction to Microeconomics
- MAT 265 — Calculus III
- MAT 293 — Differential Equations
- CPT 245 — Introduction to Java Programming
- CPT 250 — Programming in C
- CPT 287 — Database Security
- CPT 290 — Introduction to Cyber Security
- BUS 100 — Understanding Business
- BUS 260 — Business Finance
- BCA 246 — Database Management