Data Science, A.A.A.S.

Academic Plan Code: 184

This program prepares students for careers in the high-demand field of data science and data analytics by equipping them with both foundational and practical skills. Core courses such as Introduction to Data Science, Programming for Data Science, Statistics, and Applied Data Science provide students with essential knowledge in data manipulation, statistical analysis, and computational techniques. Through these courses, students develop the ability to extract insights from complex datasets and apply data-driven solutions across a variety of industries.

Program Learning Outcomes:

1. Demonstrate a comprehensive understanding of core data science principles, including data manipulation, statistical analysis, and computational techniques, as introduced in courses such as Introduction to Data Science, Programming for Data Science, and Statistics.
2. Develop and apply technical skills in programming, statistical methods, and data analysis to extract meaningful insights from complex datasets and solve real-world problems using industry-standard tools.
3. Engage in hands-on, project-based learning experiences that foster collaborative problem-solving and practical application of data science methodologies across diverse industry contexts.
4. Critically assess the ethical and social implications of data collection, analysis, and application, ensuring responsible and transparent data practices in professional environments.
5. Effectively communicate data-driven findings and technical concepts to both technical and non-technical audiences, facilitating interdisciplinary collaboration and informed decision-making.