Master of Science in Data Analytics Engineering

Program Format
On-Ground|Hybrid|
College Name
Curriculum
Application Deadlines
Domestic - Canada 
Fall Priority:  January 15
Fall Final: August 1
Spring: December 1
(International students, in-country with valid study permit - same deadline as domestic)

International (In-country) - Canada
Same as domestic deadlines above

International 
Fall Priority:  January 15
Fall Final: June 1
Spring: Sept 15
Credits Required for Graduation
Master of Science in Data Analytics Engineering has 32 required credits.

Overview

The Department of Mechanical and Industrial Engineering offers the Master of Science in Data Analytics Engineering in order to meet the current and projected demand for a workforce trained in analytics. While the core courses for this program are offered by the College of Engineering, elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern. The program is designed to enable graduating students to address the growing need for professionals who are trained in advanced data analytics and can transform large streams of data into understandable and actionable information for the purpose of making decisions. The key sectors that require analytics professionals include healthcare, smart manufacturing, supply chain and logistics, national security, defense, banking, finance, marketing, and human resources.

This degree program seeks to prepare students for a comprehensive list of tasks including collecting, storing, processing and analyzing data, reporting statistics and patterns, drawing conclusions and insights, and making actionable recommendations.

This program is offered under the written consent of the Minister of Advanced Education effective November 29, 2021, having undergone a quality assessment process and been found to meet the criteria established by the minister. Nevertheless, prospective students are responsible for satisfying themselves that the program and the degree will be appropriate to their needs (for example, acceptable to potential employers, professional licensing bodies, or other educational institutions).


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