Certificate Overview
The Data Analytics Graduate Certificate is a flexible, fully online program designed for professionals seeking to strengthen their analytical and decision-making skills. Through four graduate-level courses, you’ll build practical experience in statistics, programming, data management, and data visualization, skills that can be applied across industries such as business, healthcare, media, and technology.
94%
Of certificate earners would recommend the program
92%
Reported being prepared for their next career steps
Skills You'll Gain
Through the Data Analytics Graduate Certificate, you’ll learn to:
- Apply statistical and data mining techniques to analyze real-world datasets.
- Use programming languages such as Python or R for data analysis and reporting.
- Manage and analyze data using databases and cloud-based tools.
- Create data visualizations to communicate insights clearly to diverse audiences.
- Interpret analytical results to support business and strategic decision-making.
Career Outcomes
Demand for data analytics professionals continues to grow as organizations increasingly rely on data to inform strategy, manage risk, and drive performance. The U.S. Bureau of Labor Statistics projects strong growth across data and analytics-related roles, reflecting the need for professionals who can analyze complex datasets and translate insights into action.
Our data analytics certificate earners are employed at a variety of organizations, including:
- Boeing
- Amazon
- Liberty Mutual
- Mass General Brigham
- Boston Consulting Group
They hold such titles as:
- Data Analyst
- Risk Manager
- Research Associate
- Business Management Consultant
- Data Manager
Courses
The Data Analytics Graduate Certificate includes four online courses:
- Introductory Data Analytics (optional)
- Statistics
- Electives (2 or 3 courses, depending on whether you take the introductory course)
Selecting courses. Multiple course options are available during fall, spring, and summer terms. Offerings vary by term. Explore current options in the DCE Course Search & Registration platform.
Recommended Prerequisite Knowledge
Understanding introductory statistics and business experience will help you succeed in courses. Some courses require calculus and linear algebra. If you have a solid foundation in statistics, you may take an additional data analytics elective (for a total of three) in place of the introductory course option. If you have a limited statistical background, begin with an introductory course.
Upcoming Term: Fall 2026
Enroll in your first certificate course this fall — no application required.
Pre-registration opens July 6. Registration opens July 20 at 9 a.m. ET.
Featured Faculty
Bruce Huang, Ed.D., Ph.D.
Director of Master's Degree Program in Information Technology, Harvard Extension School
Ted Kwartler, MBA
Managing Director, Responsible AI, Accenture
Bharatendra Rai, Ph.D.
Professor of Decision and Information Sciences, Charlton College of Business, University of Massachusetts Dartmouth
Stackable Certificates and Degrees
Stackable credentials allow you to earn multiple credentials by completing courses that meet overlapping requirements.
You may apply the two courses from the Data Modeling and Ethics Microcertificate to this graduate certificate.
If you pursue a master’s degree in finance, you can earn this graduate certificate along the way by completing courses that fulfill both certificate and degree requirements.
This approach allows you to build specialized knowledge while making measurable progress toward your goals.
Tuition
Support and Resources
Access to career resources, including webinars, advising, and career fairs
Weekly virtual office hours with the student advising team
Affiliate membership in the Harvard Extension Alumni Association
Earning Your Certificate
If you take two courses per semester, you can complete your certificate in 8 months. If you prefer a more flexible pace, you have up to three years to finish.
There is no formal application required. You simply register for each course.
To meet the requirements for the certificate:
- Complete the four certificate courses for graduate credit.
- Earn at least a B grade in each course.
- Complete all courses within three years of starting your first eligible certificate course.
Learn more about pursuing a certificate and the process of requesting your certificate.
FAQs
How will a graduate certificate in data analytics help my career?
Through this program, you’ll learn to select, apply, and interpret statistical analyses and data mining methods to solve real-world data challenges. Additionally, you’ll develop programming skills for business analytics and gain proficiency with advanced information management tools and cloud databases. The curriculum is designed to be immediately applicable in your career. Whether you’re looking to advance in your current role or transition into a more data-driven position, this online graduate certificate will help you stand out in today’s competitive job market. Potential career paths tied to this certificate include roles such as data analyst, business intelligence analyst, or data scientist.
Are classes taught by Harvard University faculty?
Courses are taught by experienced instructors from Harvard University and industry leaders in technology, ensuring you learn the latest in the field.
Which programming languages will I learn?
This program emphasizes programming skills that are essential for business analytics. While specific programming languages may vary depending on the courses you choose, you can expect to gain experience in languages commonly used in data analytics, including Python and R. These languages are integral to data analysis, statistical modeling, and data visualization tasks.
How do I get started on the certificate?
To get started on your Data Analytics Graduate Certificate, you simply register for your first course. We offer courses during the fall, spring, and summer semesters. There is no application. If you are new to statistics or programming, we advise starting with an introductory course to build foundational skills.
