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

Course Descriptions and Schedule

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

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.