DATA SCIENCE

The Associate of Science (A.S.) in Data Science provides students with a solid foundation in mathematics, statistics, and programming, preparing them for both immediate entry into the workforce and seamless transfer to a four-year institution. This program equips students with the skills needed to analyze and interpret complex data, apply statistical methods, and build data models using modern programming languages. Whether pursuing a career in data analysis, machine learning, or business intelligence, or continuing education at the bachelor’s level, students will develop the essential technical expertise required for success in the field of data science. This degree program offers a comprehensive curriculum that combines rigorous coursework in mathematics and statistics with hands-on experience in programming and data analysis. Students will learn to clean, visualize, and analyze large datasets, develop predictive and classification models, and use programming languages such as Python, R, and/or SQL to tackle data challenges. The program is designed to provide both practical skills for immediate employment and a strong foundation for advanced studies in data science, computer science, statistics, or related fields.

Learning Outcome(s):

1. Apply data preprocessing, exploratory analysis, and statistical methods to clean, transform, visualize, and interpret data.
2. Apply programming, mathematical foundations, and machine learning techniques to develop models, identify patterns, and generate predictions.
3. Assess the limitations and ethical considerations of data science practices and communicate findings using industry-standard tools.