Master of Science in Data Analytics Engineering

Webinar on June 25: Step Into a Northeastern Generative AI and Data Analytics Engineering Classroom | Register here

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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

Shape the future of data with a degree that unites analytics, engineering, and innovation

Advance your career in one of today’s fastest-growing fields with the Master of Science in Data Analytics Engineering (DAE) from Northeastern University’s College of Engineering. This fully online program prepares you to turn complex data into actionable insights through hands-on, project-based learning.

You will build expertise in data visualization, database design, and data mining, while gaining fluency in Python, R, and SQL. Courses in data normalization, mapping, and statistical modeling give you the tools to design scalable systems and make data-driven decisions that power innovation.

Graduates are equipped for high-demand roles such as Predictive Modeling Analyst, Data Integration Engineer, Advanced Software Engineer, and Data Systems Architect, helping organizations shape the future of data-driven technology.

Whether you are an experienced engineer or new to analytics, performance-based admissions allows you to start right away. With Northeastern’s Fast App pathway, your performance in initial courses serves as your application, letting you prove your readiness while earning credit toward your degree.

What sets this program apart?

Top 40 Best Engineering School
Complete a 32-credit master’s degree from Northeastern University’s top-ranked College of Engineering, recognized among the nation’s leading institutions for technical innovation and research excellence.
Built for flexibility
Learn 100% online through interactive video lectures, discussion forums, and optional weekly office hours with faculty to stay supported throughout your journey.
Curriculum aligned to your career goals
Master the tools and techniques used by data professionals worldwide, including Python, R, SQL, and Tableau, while developing a strong foundation in data analytics, database design, and machine learning.
Real-world relevance
Gain deep technical competence in programming, algorithms, and systems—the core skills needed to build and maintain modern software and infrastructure.
Study on your schedule
Study full-time to complete the MS in Data Analytics Engineering in as little as 18 months, or build a schedule around your current commitments.
Pathways to your Master’s
Begin the MS in Data Analytics Engineering or start with the Data Analytics Engineering Graduate Certificate and stack your credits.

Applications for the Fall 2026 cohort are now open!

  • Application deadline: July 17, 2026
  • Courses start: September 9, 2026

Upcoming events

  • June 25: Step Into a Northeastern Generative AI and Data Analytics Engineering Classroom - Register here

Additional resources

Fall 2026 cohort deadline: July 17

Note: You will need to log in or create a Coursera account before submitting your Fast App.

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

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

Shape the future of data with a degree that unites analytics, engineering, and innovation

Advance your career in one of today’s fastest-growing fields with the Master of Science in Data Analytics Engineering (DAE) from Northeastern University’s College of Engineering. This fully online program prepares you to turn complex data into actionable insights through hands-on, project-based learning.

You will build expertise in data visualization, database design, and data mining, while gaining fluency in Python, R, and SQL. Courses in data normalization, mapping, and statistical modeling give you the tools to design scalable systems and make data-driven decisions that power innovation.

Graduates are equipped for high-demand roles such as Predictive Modeling Analyst, Data Integration Engineer, Advanced Software Engineer, and Data Systems Architect, helping organizations shape the future of data-driven technology.

Whether you are an experienced engineer or new to analytics, performance-based admissions allows you to start right away. With Northeastern’s Fast App pathway, your performance in initial courses serves as your application, letting you prove your readiness while earning credit toward your degree.

What sets this program apart?

Top 40 Best Engineering School
Complete a 32-credit master’s degree from Northeastern University’s top-ranked College of Engineering, recognized among the nation’s leading institutions for technical innovation and research excellence.
Built for flexibility
Learn 100% online through interactive video lectures, discussion forums, and optional weekly office hours with faculty to stay supported throughout your journey.
Curriculum aligned to your career goals
Master the tools and techniques used by data professionals worldwide, including Python, R, SQL, and Tableau, while developing a strong foundation in data analytics, database design, and machine learning.
Real-world relevance
Gain deep technical competence in programming, algorithms, and systems—the core skills needed to build and maintain modern software and infrastructure.
Study on your schedule
Study full-time to complete the MS in Data Analytics Engineering in as little as 18 months, or build a schedule around your current commitments.
Pathways to your Master’s
Begin the MS in Data Analytics Engineering or start with the Data Analytics Engineering Graduate Certificate and stack your credits.

Applications for the Fall 2026 cohort are now open!

  • Application deadline: July 17, 2026
  • Courses start: September 9, 2026

Upcoming events

  • June 25: Step Into a Northeastern Generative AI and Data Analytics Engineering Classroom - Register here

Additional resources

No application needed

Northeastern University offers a Fast App performance-based pathway for all learners for the Master of Science in Data Analytics Engineering degree. Get admitted based on your performance in approved courses - no application required.

Complete a two-course pathway in Computation and Visualization for Analytics and Data Management for Analytics for credit. Achieve at least a B in each course, and show proof of your bachelor’s degree by the time you complete the courses, and you’ll continue into the full degree program the next term.

Watch the College of Engineering Fast App Pathway Video

*Eligibility requirements apply. Each institution determines the successful course completion required to qualify for performance-based admission. Review the admissions process for this degree program for more information. Click on a specific course for details.

Match your learning to your budget with flexible pay-as-you-go tuition

  • $3,000 USD per course

    The complete MS in Data Analytics Engineering degree costs $24,000

  • Pay-as-you-go tuition

    Only pay for your current courses. You’re also free to pause your studies without any additional charge.

  • Three payments per year

    With 16-week semesters and pay-as-you-go tuition, you’ll pay three times per year as a full-time student.
View info about tuition & financing

A comprehensive curriculum aligned with the latest data industry practices and processes

Learn data storytelling, database design, data mining, statistical methods, and cutting-edge data sciences. Enhance your analytical prowess from anywhere, at your pace, with or without prior data experience.  

With regular updates from expert faculty to keep course content aligned with current data analytics practices, this curriculum provides the perfect preparation for data professionals in any industry. You may also choose to begin with the Data Analytics Engineering Graduate Certificate, a separate credential that allows you to build foundational skills and apply eligible credits toward the master’s degree.

Learn more

Fall 2026 deadline: July 17, 2026

Don’t miss your chance to join the intake!

Frequently asked questions

Graduates earn a Master of Science in Data Analytics Engineering from Northeastern University’s College of Engineering. It is the same degree awarded in the on-campus program, and the diploma does not mention online study or Coursera.

This degree prepares graduates for roles such as Predictive Modeling Analyst, Data Integration Engineer, Advanced Software Engineer, and Data Systems Architect, as well as other data-focused technical and analytics roles.

Fast App is Northeastern’s performance-based admissions pathway. Instead of submitting a traditional application, learners begin with two approved for-credit pathway courses and earn admission by meeting the required academic standard in those courses and providing proof of a qualifying bachelor’s degree.

Fall 2026 deadline: July 17, 2026

Don’t miss your chance to join the intake!