DSC 232R: Big Data Analytics Using Spark

Jan 5, 2026 · 1 min read
courses

Course Overview

DSC 232R: Big Data Analytics Using Spark is a graduate-level course in the Master of Data Science program at UC San Diego’s Halicioglu Data Science Institute.

Topics Covered

  • Distributed computing fundamentals
  • Apache Spark architecture and programming model
  • Large-scale data processing with PySpark
  • Machine learning at scale with MLlib
  • Real-world applications in genomics and industry
  • Cloud computing and cluster management

Learning Outcomes

Students completing this course will be able to:

  1. Design and implement distributed data processing pipelines
  2. Apply machine learning algorithms to large-scale datasets
  3. Optimize Spark applications for performance
  4. Work with real-world big data from genomics and other domains

Offering Schedule

  • Spring 2024
  • Fall 2025
  • Winter 2026
Data Science Big Data Spark Machine Learning
Edwin Solares
Authors
Edwin Solares (he/him)
Executive Director, ESB AI Lab Corporation
Executive Director of ESB AI Lab Corporation, a 501(c)(3) nonprofit advancing research in AI, machine learning, computer vision, and genomics. Previously a Lecturer at UC San Diego. My research harnesses AI and bioinformatics for food security and species conservation. Published in Nature Plants, PNAS, Genome Research, and G3 (h-index: 7).