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.
The interdisciplinary Graduate Certificate in Data Analytics is offered through a collaboration between the College of Computer and Information Science, the College of Social Sciences and Humanities, and the D'Amore-McKim School of Business. The certificate curriculum emphasizes the skills needed to bridge between emerging technological capacities and traditional policy-making processes.
The program is designed to provide students with foundational knowledge in 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.
The Graduate Certificate in Data Analytics is offered in a 100-percent online format, enabling students from across the globe to take advantage of the program’s challenging classes and expert faculty. The flexible format is designed to allow students to take classes on their own schedule while interacting with classmates through discussion boards and other technology.
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.
Course credits can be applied to Northeastern's MPS in Analytics, MS in Bioinformatics, MS in Business Analytics, MS in Health Informatics, MS in Urban Informatics, MS in Health Data Analytics and MS in Game and Design programs
Online format offers greatest flexibility for students
Experiential learning allows students to connect current professional experiences with course work
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.
In a McKinsey Global Institute study, it was projected that a demand for “deep analytical positions” will exceed the supply by 2018, creating a need for 140,000 to 190,000 positions.
The same study projects a workforce gap of 1.5 million managers and analysts with the skills to decipher and translate data patterns for decision-making.
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, certificate, or bootcamp 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.
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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
PPUA 5301 - Introduction to Computational Statistics
PPUA 5302 - Information Design and Visual Analytics
Northeastern's signature experiential learning model combines academics with professional practice to help students acquire relevant, real-world skills they can apply to their desired industry. Each program offers its own unique experiential learning opportunities, but they might include:
Full-Time Co-op Opportunities — Students on co-op work in a paid and unpaid positions in their field of study for three to six months.
In-Class Case Studies — Professors integrate case studies and exercises into the classroom to bring a real-world perspective and relevance to what they’re teaching.
Research — Students collaborate with faculty in our more than 30 federally funded research centers, tackling some of the most pressing challenges in health, security, and sustainability.
Our faculty represents a wide cross-section of professional practices and in 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.
Director of Information Science Program & Associate Clinical Professor
By enrolling in Northeastern, you gain access to a network of more than 245,000 alumni and 3,200+ employer partners, including Fortune 500 companies, government agencies, and global NGOs. Our current students and faculty across strategically located regional campuses further foster that 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.