Master’s in Data Science Courses & Curriculum | Northwestern SPS - Northwestern School of Professional Studies

Course Schedule, Part-time Online Program

Please note that course schedules may be amended due to low enrollment, faculty availability, and/or other factors.

Online Sync Sessions are an integral part of the online learning experience. Additional information about learning concepts and assignments may be discussed and sync sessions offer valuable opportunities for students to interact with their faculty and peers during the term. We encourage all students to attend live, but if they are unable to, sync sessions will be recorded and posted within Canvas to allow for an asynchronous model of success as well.

MSDS 442-DL : Data Pipelines and Stream Processing

Description

This application engineering and analytics course introduces stream processing and the end-to-end data pipeline. Real-time data sources include electronic monitoring of continuous processes, observing digital communications and social interaction, and tracing the movement of goods through production lines, warehouses, and distribution channels. The course demonstrates a stream-processing technology stack designed for high throughput and low latency. Students analyze business transactions and processes, event logs, workflows, and consumer behavior. They learn about operations, logistics, and supply chain management. This is a case study and project-based course with a strong programming component.

Prior to fall 2023, this course was titled, "Real-Time Stream Processing and Analytics."

Prerequisites: (1) MSDS 420-­DL Database Systems or CIS 417 Database Systems Design and Implementation and (2) MSDS 422-­DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.