When can I start the certificate?

There are three intake periods each year - January, May, and September.

What will I get when I enroll in the certificate?

When you enroll in this certificate, you'll get:Engineering-focused curriculum with hands-on learning using real-world datasets and industry challenges.Pathway to master's degrees - all courses stack directly into a MS program such as the Online MS in Data Analytics Engineering if you earn B or better grades.Expert instruction from Northeastern's College of Engineering faculty with practical projects and tools that mirror industry expectations.

When will I have access to the lectures and assignments?

You will get access to the course lectures and assignments as early as the week before courses start.

How can you start right away with Northeastern Online’s “Start with a Badge” benefits when enrolling in a graduate certificate?

By enrolling in a Northeastern Online graduate certificate program, you’ll gain free access to three industry-recognized, non-credit badge courses—each valued at $499—designed to give you a head start, sharpen your skills, and add a standout credential before your program begins:Artificial Intelligence (AI): Explore the foundations of AI, how algorithms, data, and machine learning are transforming industries, and how you can be part of the change.Business: Build practical skills in marketing, finance, operations, and strategy to prepare for graduate study or a leadership role.Software Engineering: Gain technical literacy in software development—from design to deployment—even without a tech background.

How do I pay for the certificate?

Submit your $100 enrollment deposit (this payment is credited toward your first semester’s tuition). You will see the remaining tuition balance in your student account within 30 days of enrolling in courses.

Certificate

Data Analytics Engineering Graduate Certificate

Students in the Data Analytics Engineering Graduate Certificate develop core skills in statistical analysis, data visualization, and data mining. They learn to use tools like Python and R to analyze complex data and communicate insights. Offered by the College of Engineering, this program prepares students to apply data-driven solutions across industries such as healthcare and manufacturing.

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This Graduate Certificate qualifies as credit toward your MS in Data Analytics Engineering degree.

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Join using NU Fast App

No lengthy application. Quick 5 minute form. No waiting for an admission decision.

8+ months

16 credits

$5,250 USD tuition

$329/credit. Pay-as-you-go tuition, allowing for complete flexibility and control.

100% online

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

Master Practical Data Analytics Techniques for Real-World Impact

Engineering-focused, application-driven curriculum

Designed for learners with a background in engineering, computer science, or related fields, this program emphasizes technical rigor and hands-on learning to equip you with the skills needed to tackle real-world datasets and analytics challenges in complex, data-driven industries.

Core Technical Skills for Data-Driven Decision-Making

Build expertise in statistical methods, data cleaning, and analysis; master tools like Python, R, and data visualization platforms; understand data management and mining techniques; and apply these skills to solve real-world problems across industries.

Expert faculty and hands-on learning

Learn from experienced faculty in Northeastern’s College of Engineering and gain practical skills through real-world case studies, projects, and interactive tools that mirror industry expectations.

Program description

Advance Your Career with Northeastern’s Top-Ranked College of Engineering Graduate Certificate in Data Analytics Engineering.

Overview

Data is revolutionizing how industries address challenges, optimize processes, and make informed decisions. Northeastern University’s Data Analytics Engineering Graduate Certificate provides professionals with the essential technical skills and practical knowledge to transform data into actionable insights. Tailored for learners with backgrounds in engineering, computer science, or related fields, this program integrates statistical analysis, data visualization, and data mining techniques with real-world applications across engineering, healthcare, manufacturing, and more.

Required background

A bachelor’s degree in any field is required for admission, and official undergraduate transcripts must be submitted within 30 days of enrollment. While prior exposure to Python Programming Proficiency, Fundamentals of Probability Theory, and Linear Algebra will give you a strong head start, it’s not mandatory.

To help you prepare, Northeastern’s College of Engineering faculty have curated a targeted set of Coursera courses designed to build or refresh these skills—boosting your readiness and maximizing your success in the program.

Crash Course on Python (Google)
Linear Algebra for Machine Learning and Data Science (Deeplearning.AI)
Probability & Statistics for Machine Learning and Data Science

Skills you will gain

Statistical analysis
Data visualization
Predictive modeling

4 courses, each worth 4 credits, for a total of 16 credits

Course 1 of 4

Foundations for Data Analytics Engineering

Overview

Prepares students for advanced data analytics engineering through probability, eigenvalues/eigenvectors, clustering, text mining, and time series analysis. Students learn modern data structures and computational methods for data cleaning and wrangling.

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Course 2 of 4

Computation and Visualization for Analytics

Overview

Teaches visualization tools and techniques for data exploration, knowledge discovery, and decision making across engineering, healthcare, and manufacturing. Covers Python and R for data mining and visualization, including static and interactive charts that reveal patterns through color encoding, shape selection, layout, and annotation.

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Course 3 of 4

Data Management for Analytics

Overview

Covers database management theory and applications for data analytics, machine learning, and AI. Topics include database design, data storage, warehousing, governance, relational and NoSQL databases, data integration, quality, and big data processing.

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Course 4 of 4

Data Mining in Engineering

Overview

Covers data mining theory and applications in engineering. Topics include data preprocessing, association rules, classification, prediction, clustering, and complex data exploration. Discusses applications across manufacturing, healthcare, business, and service sectors.

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Earn credit towards a Masters degree from Northeastern University, offered 100% online.

Successfully completing the Data Analytics Engineering Graduate Certificate allows you to apply credits toward the MS in Data Analytics Engineering degree at Northeastern University. To be eligible, you must earn a grade of B or higher in each certificate course and meet the transfer policies of the chosen master’s program.

This certificate offers credit-recognized learning that lets you begin with a targeted, career-focused credential and smoothly advance to a higher degree—saving both time and tuition while boosting your professional development.

Certificate

Data Analytics Engineering Graduate Certificate

Data Analytics Engineering Graduate Certificate Certificate Earn Credit Towards:

Master of Science in Data Analytics Engineering (100% online)

If you are admitted to Northeastern University’s MS in Data Analytics Engineering, your completed Data Analytics Engineering Graduate Certificate will count towards your degree.

Meet your instructors

Frequently asked questions

When you enroll in this certificate, you'll get:

Engineering-focused curriculum with hands-on learning using real-world datasets and industry challenges.
Pathway to master's degrees - all courses stack directly into a MS program such as the Online MS in Data Analytics Engineering if you earn B or better grades.
Expert instruction from Northeastern's College of Engineering faculty with practical projects and tools that mirror industry expectations.‎

The Northeastern Online Fast App lets you skip the traditional admissions process and start learning right away. There’s no fee to submit the Fast App. After submitting your Fast App, you’ll get access to enroll in up to two courses from your chosen online graduate certificate program. Simply submit your undergraduate transcripts within your first term of courses. That’s it—no waiting for an admissions decision, no lengthy application materials.‎

By enrolling in a Northeastern Online graduate certificate program, you’ll gain free access to three industry-recognized, non-credit badge courses—each valued at $499—designed to give you a head start, sharpen your skills, and add a standout credential before your program begins:

Artificial Intelligence (AI): Explore the foundations of AI, how algorithms, data, and machine learning are transforming industries, and how you can be part of the change.
Business: Build practical skills in marketing, finance, operations, and strategy to prepare for graduate study or a leadership role.
Software Engineering: Gain technical literacy in software development—from design to deployment—even without a tech background.‎

Coursera does not grant academic credit; the decision to grant, accept, or recognize academic credit, and the process for awarding such credit, is at the sole discretion of the academic institutions offering the University Certificate program and/or other institutions that have determined that completion of the program may be worthy of academic credit. Completion of a University Certificate program does not guarantee admission into the full Master’s program referenced herein, or any other degree program.