From petabyte-scale Spark clusters to Kubernetes-based MLOps pipelines, the BS in Data Science at USC equips technologists to wrangle high-velocity data. Coursework covers distributed graph algorithms, privacy-preserving federated learning (PPFL), and PQC (post-quantum cryptography) risk analytics. A data-center practicum grants root access to configure GPU nodes, while an ethics module instills NIST AI RMF compliance. Graduates deploy code that scales and safeguards.
Kubeflow pipeline auto-retraining wildfire-risk model
Homomorphic-encrypted analytics on medical billing CSVs
Spark-based graph of global supply-chain chokepoints
Edge-fleet anomaly detection for EV charging stations
Synthetic data generator via Diffusion models for fintech
Quantum-safe key-exchange traffic monitor dashboard
RL tuner for Apache Spark executor memory allocation
Data lineage tracker using OpenTelemetry & Dagster
Bitemporal database demo for ESG audit trails
Real-time sentiment ingest from Twitch chat streams
Explainable gradient-boosted predictions for tenant screening
Policy brief on data-localization laws & ML portability
GAN-assisted upscaling of NOAA climate grids
Streaming ELT of IIoT sensor data into Delta Lake
AR data-ops visualizer for on-prem cluster health
Causal inference study of ride-hailing surge zones
Digital badge system tracking data-governance SLA
Engineer robust pipelines that turn velocity into value.
Whether it's Machine Learning, Data Science, or Web Development, Collexa is here to support your academic journey.
"Collexa transformed my academic experience with their expert support and guidance."
Computer Science Student
Reach out to us for personalized academic assistance and take the next step towards success.
