The Graduate Certificate in Data Analytics provides foundational knowledge in data analytics, including data management, machine learning, data mining, statistics, and visualizing and communicating data.
8 months - 1 year
Duration of Program
Meets F1 Visa Requirements
The interdisciplinary Graduate Certificate in Data Analytics is offered through a collaboration between the Khoury College of Computer Sciences, the College of Social Sciences and Humanities, and the D'Amore-McKim School of Business.
The program is designed to provide students with foundational knowledge in “big data,” data analytics, including data management, machine learning, data mining, statistics, and visualizing and communicating data, that can be applied to data-driven decision making in any discipline.
Classes benefit from Northeastern’s signature experiential learning program, drawing on students’ current professional experiences to make real-world connections with subject matter.
Four 4-credit foundation courses comprise Northeastern’s interdisciplinary Graduate Certificate in Data Analytics. Certificate course credits are transferable to master’s degree programs included in the university’s Data Analytics Programs.
Learn core foundational knowledge in data science and data analytics – a field that is expanding rapidly and provides careers with enormous growth potential.
Provides a path to continue your education and pursue a Masters of Science in the following programs:
Master of Science in Health Informatics
Master of Science in Health Data Analytics
Master of Science in Bioinformatics
Master of Science in Urban Informatics
Examine how data is collected, stored, and retrieved; how data can be extracted from large, structured/unstructured datasets; how to analyze information using data mining and machine learning; and how to use information design and visual analytics to analyze and present results.
In today’s increasingly competitive, technology-driven global environment, where business data across all companies is estimated to double every 1.2 years, and the public sector is building enormous data infrastructures, the ability to manage and analyze large volumes of data is critical to growth, innovation, and productivity in every field. From finding cures for cancer to plotting more efficient service delivery routes, from predicting crime hot spots in our cities to pinpointing marketing efforts, industries need individuals with the curiosity, creativity, knowledge, and skills to analyze and model complex datasets and draw actionable insights. The rapid evolution in the way businesses, research institutions, and governments produce, process, and analyze data has created a shortage of talent.
To help meet the growing demand for knowledgeable, experienced professionals in this emerging field Northeastern University offers our interdisciplinary Data Analytics Programs.
A graduate degree or certificate from Northeastern—a top-40 university—can accelerate your career through rigorous academic coursework and hands-on professional experience in the area of your interest. Apply now—and take your career to the next level.
Finance Your Education Eligible students may be considered for financial aid. For information, contact the Office of Student Financial Services, 354 Richards Hall, 617-373-3190.
How to Apply Learn more about the application process and requirements.
Application and fee
Undergraduate GPA of 3.0
Undergraduate course in statistics
Statement of purpose including description of relevant work experience
Three letters of reference from an individual who knows your academic or professional record and/or potential for graduate study
PDF or scanned copies of unofficial undergraduate transcripts (you can submit official transcripts from colleges/universities attended at the time of admission)
International students: Official TOEFL examination scores
Global Engagement Learn how our teaching and research benefit from a worldwide network of students, faculty, and industry partners.
Admissions deadline for Fall Term: August 15
Admissions deadline for Spring Term: December 1
Admissions deadline for Summer 1 Term (domestic applicants only): April 15
Graduate Certificate in Data Analytics Core Requirements
DA 5020 - Collecting, Storing, and Retrieving Data
DA 5030 - Introduction to Data Mining/Machine Learning
INSH 5301 - Introduction to Computational Statistics
INSH 5302 - Information Design and Visual Analytics
Please note: This curriculum is for marketing purposes only and is subject to change. Official curriculum can be found within the course catalog.
Northeastern's signature experiential learning model combines academics with professional practice to help students acquire relevant, real-world skills.
Professors integrate case studies and exercises into the classroom to bring a real-world perspective and relevance to what they’re teaching.
Our faculty represents a wide cross-section of professional practices and fields ranging from finance to education to biomedical science to management to the U.S. military. They serve as mentors and advisors and collaborate alongside students to solve the most pressing global challenges facing established and emerging markets.
By enrolling in Northeastern, you gain access to a network of more than 255,000 alumni and 3,350+ employer partners, including Fortune 500 companies, government agencies, and global nongovernmental organizations. Our current students and faculty across strategically located regional locations further foster a lifelong, global community of learning and mentoring.
Below is a look at where our Analytics alumni work, the positions they hold, and the skills they bring to their organization.
Where They Work
JPMorgan Chase & Co.
What They Do
Program and Project Management
What They're Skilled At
Software Development Life Cycle (SDLC)
Graduates of the Data Analytics certificate program are well equipped to analyze, decipher and translate large amounts of data and will also learn how to communicate the results of data analysis to a non-expert audience. Read more about the learning outcomes of this certificate by clicking here.