Master of Science in Data Analytics Engineering 

Program Format
College Name
Application Deadlines
Spring 2021:
International applicants (outside of the U.S.): September 15, 2020
International applicants (inside the U.S.): November 1, 2020
Domestic applicants: December 1, 2020

Fall 2021:
International applicants (outside of the U.S.): May 15, 2021
International applicants (inside the U.S.): July 1, 2021
Domestic applicants: August 1, 2021

Credits Required for Graduation
32 Semester Hours


Master data analytics and become an innovator in the heart of one of the nation’s most influential tech hubs. Graduate with the tools, experience, and local networking opportunities you need to pursue employment at some of the biggest names in technology.

The MS in Data Analytics Engineering program offers students an opportunity to train for industry jobs or to acquire rigorous analytical skills and research experience to prepare for a doctoral program in health, security, and sustainability at Northeastern University. The Department of Mechanical and Industrial Engineering offers this degree program 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 MS degree in data analytics engineering is designed to enable the 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 meets F-1 international student status requirements.
  • Core courses for this program are offered by the College of Engineering, while elective courses can be chosen from diverse disciplines spread across various colleges at Northeastern.
  • This program is designed to enable the graduating students to address the growing need for professionals who are trained in advanced data analytics.

Program Objectives

The MS in Data Analytics Engineering is designed to help students acquire knowledge and skills to

• Discover opportunities to improve systems, processes, and enterprises through data analytics
• Apply optimization, statistical, and machine-learning methods to solve complex problems involving large data from multiple sources
• Collect and store data from a variety of sources, including internet of things, an integrated network of devices and sensors, customer touch points, processes, social media, and people
• Work with technology teams to design and build large and complex SQL databases
• Use tools and methods for data mining, Big Data algorithms, and data visualization to generate reports for analysis and decision making
• Create integrated views of data collected from multiple sources of an enterprise
• Understand and explain results of data analytics to decision makers
• Design and develop analytics projects


Core Requirements

IE 5374 Special Topics in Industrial Engineering (Data Visualization Engineering) 4
IE 6200 Engineering Probability and Statistics 4
IE 7275 Data Mining in Engineering 4
IE 7280 Statistical Methods in Engineering 4
INFO 6210 Data Management and Database Design 4
OR 6205 Deterministic Operations Research 4

See full course list and options. 

Cooperative Education Program (Co-Op)

The College of Engineering Graduate Cooperative Education Program is one option for experiential learning and is available on a competitive basis to selected students. Co-op at the graduate level is not just a way for students to gain real-world experience, but is a way to challenge, network, expand, and fine-tune their knowledge within their respective industry. The goals of co-op are to:

  • Apply knowledge and skills in new, authentic contexts.
  • Develop new knowledge and skills.
  • Integrate and use the deepened knowledge and skills in your academic programs.
  • Reflect on and articulate how you used your knowledge and skills, how you gained new knowledge and skills, and how “theory and practice” work together.

The Graduate School of Engineering placed over 800 students with some of the most sought-after technical skills in positions nationally during the 2018 academic year. We have a team that prepares students for co-op experience through resumé building, developing interview skills, and guiding professional development.

Additional Resources

Connect with a Current Student

Working with the Graduate School of Engineering, graduate student ambassadors provide both prospective and admitted students with the information they need to transition to Northeastern University. Their mission is to offer a glimpse into life as a current Husky and deliver the student perspective of graduate school. Ambassadors engage the community while demonstrating educational excellence and maintaining a high level of campus involvement in the College of Engineering and within in the entire university. Learn more at our graduate student ambassadors page.

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