On [DATE], American Public University System combined with Rasmussen University and Hondros College of Nursing to form a single higher education institution. American Public University System (System) now includes American Public University, American Military University, Rasmussen University, and Hondros College of Nursing. The System is accredited by the Higher Learning Commission and is a wholly owned subsidiary of American Public Education, Inc. (APEI). We are continuing to update our website to reflect our new structure.

CSCI520 - Big Data Analytics & Data Mining

Course Details

Course Code: CSCI520 Course ID: 5546 Credit Hours: 3 Level: Graduate

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.

Course Schedule

Registration Dates Course Dates Start Month Session Weeks
Registration02/23/2026 - 07/31/2026 Course Dates08/03/2026 - 09/27/2026 Start Month August SessionSummer 2026 Session I Weeks8 Week session
Registration04/27/2026 - 10/02/2026 Course Dates10/05/2026 - 11/28/2026 Start Month October SessionFall 2026 Session B Weeks8 Week session
Registration05/25/2026 - 10/30/2026 Course Dates11/02/2026 - 12/27/2026 Start Month November SessionFall 2026 Session I Weeks8 Week session
Registration07/27/2026 - 01/01/2027 Course Dates01/04/2027 - 02/28/2027 Start Month January SessionWinter 2027 Session B Weeks8 Week session

Previous Syllabi

Not current for future courses.