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 engineering degree offered by the College of Engineering at Northeastern University. Source

No application required

Hassle-free pathways for learners with or without conventional technical experience.

$3,000 USD per course

(4 credits at $750/credit) - Pay-as-you-go tuition lets you manage the costs, course by course.

100% online

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

A master’s degree in one of the hottest fields—at your pace, from anywhere, with or without prior experience

Prepare for a career on the frontier of data analytics, with the online MS in Data Analytics Engineering (DAE) program from the College of Engineering at Northeastern University.

Whether you’re an experienced engineer or brand-new to data analytics, this program will immerse you in specializations such as data visualization, database design and data mining, giving you the skills to bridge the gap between raw data and actionable insights.

Once you’ve mastered essential data analytics techniques such as data normalization and data mapping, and become proficient in multiple programming languages such as R, SQL and Python, you’ll be ready to take on roles like predictive modeling analyst, advanced software engineer, data integration engineer and more, to help shape the evolution of data as a transformative force in modern society.

With Northeastern's fast app for performance-based admissions, you can jump into real coursework and let your performance serve as your application to the degree program, even if you don't have any prior technical experience.

What’s in this degree program?

Earn a master of science from top 40 Best Engineering School.
32 credit (eight courses) master’s degree from Northeastern University’s top-ranked College of Engineering
Flexible.
100% online, so you can access lessons at the time you choose, with optional weekly faculty office hours
Cutting-edge curriculum.
Dive into topics like big data, AI and machine learning to stay ahead in the ever-evolving data landscape
Advanced software mastery.
Gain proficiency in tools like Python, R, SQL and Tableau, giving you the professional edge in the competitive world of analytics
Study at your own pace.
Complete the DAE program in as little as 18 months of full-time study, or build a schedule around your current commitments
Specialized student support.
The DAE program has a dedicated online support staff to ensure success and offer assistance from start to finish

Admissions information

Upcoming Deadlines:

Stay tuned

Upcoming Events

Stay tuned

Already submitted your Fast App?

Access your personalized link to enroll here!

Already submitted your course enrollment form?

Congratulations—you're officially a Northeastern student! Be on the lookout for important messages from your success manager on next steps.

Get started today


Top 40 Engineering School

Accredited engineering degree offered by the College of Engineering at Northeastern University. Source

No application required

Hassle-free pathways for learners with or without conventional technical experience.

$3,000 USD per course

(4 credits at $750/credit) - Pay-as-you-go tuition lets you manage the costs, course by course.

100% online

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

Top 40 Engineering School

Accredited engineering degree offered by the College of Engineering at Northeastern University. Source

No application required

Hassle-free pathways for learners with or without conventional technical experience.

A master’s degree in one of the hottest fields—at your pace, from anywhere, with or without prior experience

Prepare for a career on the frontier of data analytics, with the online MS in Data Analytics Engineering (DAE) program from the College of Engineering at Northeastern University.

Whether you’re an experienced engineer or brand-new to data analytics, this program will immerse you in specializations such as data visualization, database design and data mining, giving you the skills to bridge the gap between raw data and actionable insights.

Once you’ve mastered essential data analytics techniques such as data normalization and data mapping, and become proficient in multiple programming languages such as R, SQL and Python, you’ll be ready to take on roles like predictive modeling analyst, advanced software engineer, data integration engineer and more, to help shape the evolution of data as a transformative force in modern society.

With Northeastern's fast app for performance-based admissions, you can jump into real coursework and let your performance serve as your application to the degree program, even if you don't have any prior technical experience.

What’s in this degree program?

Earn a master of science from top 40 Best Engineering School.
32 credit (eight courses) master’s degree from Northeastern University’s top-ranked College of Engineering
Flexible.
100% online, so you can access lessons at the time you choose, with optional weekly faculty office hours
Cutting-edge curriculum.
Dive into topics like big data, AI and machine learning to stay ahead in the ever-evolving data landscape
Advanced software mastery.
Gain proficiency in tools like Python, R, SQL and Tableau, giving you the professional edge in the competitive world of analytics
Study at your own pace.
Complete the DAE program in as little as 18 months of full-time study, or build a schedule around your current commitments
Specialized student support.
The DAE program has a dedicated online support staff to ensure success and offer assistance from start to finish

Admissions information

Upcoming Deadlines:

Stay tuned

Upcoming Events

Stay tuned

Already submitted your Fast App?

Access your personalized link to enroll here!

Already submitted your course enrollment form?

Congratulations—you're officially a Northeastern student! Be on the lookout for important messages from your success manager on next steps.

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Performance-based admissions (PBA)

With the Fast App performance-based admissions pathway, you'll complete two initial PBA courses* as your application into the degree program. Get a B or better in both courses, 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. Submit your Fast App and get started on your PBA pathway courses today!

Watch the College of Engineering Fast App Pathway Video

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Fit earning your degree into your budget with Northeastern’s pay-as-you-go tuition

  • $3,000 USD per course The full DAE 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.
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A comprehensive curriculum aligned with the latest data industry practices and processes

Delve into 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.

Learn more

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Frequently asked questions

Northeastern University, College of Engineering, Master of Science in Data Analytics Engineering.

Yes, it’s the same as the on-campus program. Upon program completion, you’ll receive your diploma. It’s a degree conferred for a Master of Science in Data Analytics Engineering, and your diploma won’t mention "online" or "Coursera".

The Northeastern University Fast App is a performance-based admissions process which allows you to earn graduate admission by completing real coursework. No need to gather application materials. No need to wait for an admissions decision. Let your performance in your coursework serve as your application into your graduate program.