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 434-DL : Analytics Application Engineering

Description

This course covers programming components essential to the development of analytics applications. The focus is analytics software engineering. Students learn to develop desktop and client-server solutions. They learn about web-based solutions employing a variety of front-end and back-end system components. The course introduces machine learning operations and engineering. Students use cloud systems to package and distribute containerized computer software. They develop software, working on open-source programming, database, and systems integration projects. They employ best practices in software development.

This is a required course for the Data Engineering specialization.

Recommended prior courses: (1) MSDS 432-DL Foundations of Data Engineering and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.

Prerequisites: (1) MSDS 400-DL Math for Data Scientists and (2) MSDS 420-DL Database Systems and Data Preparation or CIS 417 Database Systems Design.

Additional Information:

Prerequisites: (1) MSDS 432-DL Foundations of Data Engineering and (2) MSDS 422-DL Practical Machine Learning or CIS 435 Practical Data Science Using Machine Learning.