Accredited engineering degree offered by the College of Engineering at Northeastern University. Source
Hassle-free pathways for learners with or without conventional technical experience.
(4 credits at $750/credit) - Pay-as-you-go tuition lets you manage the costs, course by course.
Lecture videos, hands-on projects and connection with instructors and peers, from anywhere.
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.
Stay tuned
Stay tuned
Access your personalized link to enroll here!
Congratulations—you're officially a Northeastern student! Be on the lookout for important messages from your success manager on next steps.
Accredited engineering degree offered by the College of Engineering at Northeastern University. Source
Hassle-free pathways for learners with or without conventional technical experience.
(4 credits at $750/credit) - Pay-as-you-go tuition lets you manage the costs, course by course.
Lecture videos, hands-on projects and connection with instructors and peers, from anywhere.
Accredited engineering degree offered by the College of Engineering at Northeastern University. Source
Hassle-free pathways for learners with or without conventional technical experience.
(4 credits at $750/credit) - Pay-as-you-go tuition lets you manage the costs, course by course.
Lecture videos, hands-on projects and connection with instructors and peers, from anywhere.
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.
Stay tuned
Stay tuned
Access your personalized link to enroll here!
Congratulations—you're officially a Northeastern student! Be on the lookout for important messages from your success manager on next steps.
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!
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. Â
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.
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.
After submitting the Fast App, you will get access to two performance-based admissions courses (pathway courses) for the next start date (Spring, Summer, Fall). Get a B or better in both pathway courses and submit the official transcript of your admissible degree by the time you complete the courses and you'll continue into the full degree program the next term.
Yes. The courses from the Fast App pathway are from the DAE program and will be applied to the full degree program once completed with a B or better.
Yes. When you’ve completed the program, you’ll be invited to attend the graduation ceremony on the Northeastern campus.
As an online student, you’re welcome to visit the campus if you’re in the area (local health requirements and restrictions permitting). Many of the on-campus resources will also be made available to you in an online format.
For Performance-Based Admission there are no formal language requirements, however, learners need to have enough mastery of the English language in order to complete the courses including group work and exams in English. For standard application (traditional application), learners will need to submit English Proficiency test scores if they are not US citizens or US permanent residents.
There's no application fee for the fast app. There's a $100 application fee to apply through the traditional graduate application.
Students in the online DAE program can request a Husky Card be sent via mail or go to an NU campus to have one created.
No. For a DAE program with F-1 visa eligibility, check out the on-ground DAE program through the College of Engineering at Northeastern.
Upon submission of the course enrollment form, you are officially a Northeastern student and enrolled in your selected course(s) to start the next term! You will receive an email from our success manager, Katie Freedman, to introduce herself, provide you with information about the mandatory onboarding course, how to pay your bill, and help you prepare to start your program. If you have any questions or issues regarding your enrollment, academic plan, or transition to the university, Katie will be your first point of contact.
If you do not plan to start classes, you will need to inform Katie of your intention to withdraw in order to avoid any payment or transcript impacts.
The Canada Scholarship Program is a new pilot initiative launching Fall 2024 that aims to help support learners who are Canadian Citizens and/or Canadian Permanent Residents. This program is offered online through Northeastern University's Boston Campus and is not affiliated with Northeastern’s global campus system, including its locations in Toronto or Vancouver.
Yes! You can gain direct admittance to the program by applying using the standard graduate application through the College of Engineering at Northeastern.
No! All learners, regardless of having a technical background or not, are welcome to give the performance pathway courses a try.
Interested in brushing up on your technical knowledge? Check out these optional prep courses before or while taking the performance pathway courses.