What You'll Learn
- Learn to select, apply, and interpret appropriate statistical analyses and data mining methods for real-world data problems.
- Master programming skills for business analytics. Gain basic skills with information management tools and cloud databases to store, analyze, and extract business-relevant information.
- Use data visualization to understand and communicate data analyses and report data findings effectively to diverse audiences.
- Apply your knowledge and skills to real-world business challenges in advertising, sports, health, media and emerging technologies.
Certificate Courses
The Data Analytics Graduate Certificate includes four courses (16 credits). You may choose from the following course groups, using the certificate course search.
Introductory Data Analytics (Optional 1 Course)
Intro courses are not required, but you may choose to complete one introductory course to build foundational knowledge.
Course options include:
- CSCI 5A Introduction to Programming with R
- MGMT 104 Introduction to Quantitative Methods for Economics and Finance
- STAT 100 Introduction to Quantitative Methods for the Social Sciences and the Humanities
Statistics (1 Course)
- STAT 109 Introduction to Statistical Modeling
Elective Courses (2 or 3 Courses)
Explore a particular area of data analytics while gaining experience in applying analytics to business settings.
Course options include:
- CSCI 7 Introduction to Computer Science with Python
- CSCI 96 Data Mining for Business
- CSCI 112 Advertising Analytics and Real-Time Technology
Prerequisite Knowledge
An understanding of 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.
A Faculty of Data Analytics Experts
Our data analytics instructors are experts in a variety of topics, including data science, programming, and statistical modeling.
Our Community at a Glance
Along with your diverse peers, you’ll develop the skills to discover new insights that solve challenges for your organization.
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37
Average Age
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86%
Working Full Time
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14%
Students Outside the U.S.
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1.5 years
Average Time to Complete
Earning Your Certificate
Most of our certificates can be completed online, and no formal application process is required to pursue a certificate.
To meet the requirements for the certificate, you must:
- Complete the four certificate courses for graduate credit.
- Earn at least a B grade in each course.
- Complete the courses within three years.
Learn more about pursuing a certificate and the process of requesting your certificate.
Courses taken before the 2018–19 academic year do not apply toward this certificate.
Build a Stackable Credential Pathway
Stackable credential pathways allow you to earn multiple credentials by completing courses that meet overlapping requirements. In the short term, you can earn a micro or graduate certificate. Once completed, those courses may count toward a master’s degree.
You can:
- Stack the Data Modeling and Ethics Microcertificate into the Data Analytics Graduate Certificate.
- Stack the Data Analytics Graduate Certificate into either a master’s degree in finance or a master’s degree in systems engineering.
Stackable pathways offer an efficient, cost-effective way to earn short-term credentials to help fill immediate skill gaps and acquire specialized knowledge while building a foundation for long-term success that showcases your expertise in the field.
Learn how to plan a stackable credential pathway.
Cost
Affordability is core to our mission. When compared to our continuing education peers, it’s a fraction of the cost.
| Our Tuition (2024–25 rate) | $3,340 per course |
|---|---|
| Average Tuition of Peer Institutions | $5,476 per course |
| Average Total Cost | $13,360 |
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.
How long will it take to complete the data analytics certificate?
This online graduate certificate program is designed with flexibility in mind. You are required to complete four courses (16 credits), but you can spread these courses out, up to three years, depending on your schedule. Most students complete the certificate within 18–24 months.
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.
What is the typical weekly time commitment for each course?
Each course usually requires a commitment of 8 to 12 hours per week. This time includes the online course, assignments, and participating in hands-on projects.
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.
