Lead today’s decision makers with data-driven knowledge.

Master of Science in Data Analytics Engineering

Northeastern University’s Master of Science in Data Analytics Engineering program prepares you to use the power of data mining, data management, machine learning, and visualization for engineering and business projects. With your knowledge and skills, you’ll solve problems and help industry leaders make informed decisions to improve products, services, processes, systems, and enterprises.

Building on your engineering or science bachelor’s degree, you’ll gain rigorous analytical skills through technically advanced courses and real-world experience. You can specialize your degree with flexible electives from diverse disciplines across colleges at Northeastern in areas such as healthcare analytics, business analytics, smart manufacturing, network science, Internet of Things, and more. Upon graduating, you’ll be prepared to take on a data analyst position and support data scientist and data engineer roles in any industry or enter a doctoral program in areas including engineering, healthcare, banking, business, finance, security, or sustainability.

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$108K
25%
#34
Median annual salary for data analyst (U.S. Bureau of Labor Statistics, 2023)
Projected employment growth for operations research analysts from 2020 to 2030, much faster than the average for all occupations (U.S. BLS, 2021)
Ranked best engineering graduate schools (U.S. News and World Report, 2025)

“I’m responsible for driving digital and footwear innovation through data insight across the domestic product development teams. I help different teams make data-driven decisions to improve on ends, whether it’s from a design perspective, manufacturing, or trying to better understand our consumer.”

— Aparna V. Alavilli, MS in Data Analytics Engineering

Entry term

Fall, spring

Course delivery

On campus in Boston, Seattle, and Vancouver, Canada

Application deadlines

Domestic students:

  • Fall: August 1
  • Spring: December 1

International students (within US)

  • All Toronto and Vancouver campuses: August 15
  • Fall: July 1
  • Spring: December 1

Integrate academic knowledge with industry experience.

At Northeastern, you have the opportunity to participate in our top-ranked cooperative education program, gaining up to eight months of industry experience as part of the academic curriculum. Recent co-op partners for the MS in Data Analytics Engineering program include Amazon, Apple, Wayfair LLC, Grantham, Mayo, IBM, Fidelity Investments, McKinsey & Company, Inc., and more.


A flexible program to fit your goals.

Through a variety of electives, research, and co-op opportunities, you can tailor the curriculum to meet your specific interests, backgrounds, and career goals. You also have the option to earn a graduate engineering certificate alongside your master’s degree. The College of Engineering offers more than 15 graduate certificates, such as engineering management and engineering leadership.


About Northeastern

Founded in 1898, Northeastern is a global research university and the recognized leader in experiential lifelong learning. Our approach of integrating real-world experience with education, research, and innovation empowers our students, faculty, alumni, and partners to create worldwide impact.

Our global university system provides our community and academic, government, and industry partners with unique opportunities to think locally and act globally. The system—which includes 13 campuses across the U.S., U.K., and Canada, 320,000-plus alumni, and more than 3,800 partners worldwide—serves as a platform for scaling ideas, talent, and solutions.

Northeastern’s personalized, experiential undergraduate and graduate programs lead to degrees through the doctorate in 10 colleges and schools across our campuses. Learning emphasizes the intersection of data, technology, and human literacies, uniquely preparing graduates for careers of the future and lives of fulfillment and accomplishment.

Our research enterprise, with an R1 Carnegie classification, is solutions oriented and spans the world. Our faculty scholars and students work in teams that cross not just disciplines, but also sectors—aligned around solving today’s highly interconnected global challenges and focused on transformative impact for humankind.




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