Course Description

HDA 634 BIG DATA ANALYTICS   3.0 Credit(s)
The course focuses on the theoretical principles and practical application of big data technologies within the healthcare ecosystem. Students will move beyond traditional statistical methods to explore tools and architectures designed for data volumes that exceed the capacity of conventional databases and software. Key topics include the V's of Big Data (Volume, Velocity, Variety, Veracity, and Value), distributed computing frameworks (e.g., Apache Spark and Hadoop), NoSQL databases, and advanced machine learning techniques for high-dimensional data. The curriculum emphasizes real-world application, covering topics like analyzing genomic data, processing streaming sensor data from wearables, and extracting patterns from vast electronic health record (EHR) systems. Students will gain hands-on experience in building scalable analytical pipelines to support precision medicine, operational efficiency, and population health initiatives. Prerequisite: Take HDA-515 HDA-630
Offered: As Needed All Years