Offered by the College of Engineering at Northeastern University.
Hassle-free pathways for learners with or without conventional technical experience.
Pay-as-you-go tuition, allowing for complete flexibility and control.
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.
Northeastern-dae@coursera.org
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 how to pay your bill, set up your student account, and get ready for your first courses. If your plans have changed since enrolling, please contact your success manager for next steps.
Summer enrollment is now open! Start your enrollment process today
Offered by the College of Engineering at Northeastern University.
Hassle-free pathways for learners with or without conventional technical experience.
Pay-as-you-go tuition, allowing for complete flexibility and control.
Lecture videos, hands-on projects and connection with instructors and peers, from anywhere.
Offered by the College of Engineering at Northeastern University.
Hassle-free pathways for learners with or without conventional technical experience.
Pay-as-you-go tuition, allowing for complete flexibility and control.
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.
Northeastern-dae@coursera.org
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 how to pay your bill, set up your student account, and get ready for your first courses. If your plans have changed since enrolling, please contact your success manager for next steps.
The DAE program offers a fast app performance-based pathway for all learners – with or without conventional technical experience.Â
Simply provide your basic contact information and tell us about your bachelor's degree of study and/or your work experience.Â
If you have the necessary tech background, you’ll immediately take two courses from the DAE program.Â
If you don’t have a technical background, we'll recommend content on Coursera for you to complete and prepare yourself before taking the DAE performance-based admission courses.Â
For either route, you’ll need to score a B or better on the two courses from the DAE program (and provide proof of your bachelor’s degree), then you'll join the full master's degree program your next semester—with two courses already completed.
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.