Master of Science in Data Analytics Engineering

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Master of Science in Data Analytics Engineering

Northeastern University

Top 40 Engineering School

Accredited degree offered by the College of Engineering at Northeastern University

18 months

8 courses total, 10-15 hours per week per course

$24,000 USD total cost

$3,000 x 8 courses = $24,000, with pay-as-you-go tuition for each course

No application required

Hassle-free pathways for learners with or without technical experience, start learning

100% online

Lecture videos, hands-on projects, and connection with instructors and peers

A curriculum designed for the next generation of data leaders

The Master of Science in Data Analytics Engineering (DAE) prepares you to turn complex data into impactful insights that drive smarter business decisions. Whether you have a technical background or not, this program gives you the tools to succeed in one of today’s most in-demand fields.

You will build advanced skills in data visualization, database design, data mining, and predictive modeling, while gaining proficiency in Python, R, SQL, and modern analytics tools. Coursework emphasizes both the engineering and strategic sides of analytics, helping you connect technical accuracy with business outcomes.

This career-aligned curriculum is rooted in hands-on, project-based learning, where you apply real-world techniques to manage, analyze, and interpret data across industries. By graduation, you will be ready to lead data-driven initiatives that fuel innovation and competitive advantage.

Lead in data and innovation

Develop the analytical, technical, and strategic skills to transform data into actionable insights that drive innovation and business growth across industries.

Learn from industry-active faculty

Study with experts from Northeastern’s College of Engineering who bring real-world experience in data analytics, industrial systems, and engineering management.

Gain hands-on, project-based experience

Apply your learning to real datasets and industry challenges through projects in data visualization, mining, and predictive modeling that help you build a professional portfolio.