Big Data Analytics & Data Mining

Catalog description

This course provides an in-depth study of big data mining and analytics, emphasizing advanced techniques and practical applications across multiple domains. Students examine methods for data analysis, data processing, and data management with both structured and unstructured data, including large datasets, data warehouses, and data lakes. The curriculum covers statistical analysis, machine learning algorithms, feature engineering, and pattern recognition to support informed decision making in areas such as business, healthcare, and science. Through hands-on projects, students develop skills in using modern software, programming languages, and distributed computing frameworks to address real-world information challenges. This course strengthens knowledge within the computer science discipline, preparing learners to explore and apply analytics in diverse professional contexts while aligning with graduate-level program outcomes. (Prerequisite: CSCI500) Spanish language learners may complete this course in Spanish.