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
$24,600 USD total cost
$3,075 x 8 courses = $24,600, 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
Built for flexibility
Curriculum aligned to your career goals
Real-world relevance
Study on your schedule
Pathways to your Master’s
2026 年秋季班的申请现已开始！
- 申请截止日期：2026 年 7 月 17 日
- 课程开始2026 年 9 月 9 日
近期活动
- 6月25日 走进东北大学生成式人工智能和数据分析工程教室 -在此注册
其他资源
- 已提交快速申请？访问您的个性化链接进行注册
2026 年秋季组队截止日期：7 月 17 日
注意：在提交 Fast App 之前，您需要登录或创建一个 Coursera 帐户。
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
$24,600 USD total cost
$3,075 x 8 courses = $24,600, 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
Built for flexibility
Curriculum aligned to your career goals
Real-world relevance
Study on your schedule
Pathways to your Master’s
2026 年秋季班的申请现已开始！
- 申请截止日期：2026 年 7 月 17 日
- 课程开始2026 年 9 月 9 日
近期活动
- 6月25日 走进东北大学生成式人工智能和数据分析工程教室 -在此注册
其他资源
- 已提交快速申请？访问您的个性化链接进行注册
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.
利用东北大学的 "现收现付 "学费，在预算内完成学业
{每门课程 3,000 美元 。
DAE 全部学位的学费为 24,000 美元现收现付学费{2｝
只支付当前课程的费用。 您还可以自由暂停学习，无需支付额外费用。每年三次付款{2｝
学期为 16 周，学费现收现付，作为全日制学生，您每年只需支付三次学费。
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.
Fall 2026 deadline: July 17, 2026
Don’t miss your chance to join the intake!
Fall 2026 deadline: July 17, 2026
Don’t miss your chance to join the intake!