Graduate Certificate in Data Analytics Online
Develop Data Analysis Skills for a Range of Careers
100% Online
Complete in Less Than a Year
15 Credit Hours
$800 per Credit
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Prepare to Lead Data-Driven Solutions to Public Health Challenges
Complete Benedictine University’s online Graduate Certificate in Data Analytics as a standalone credential or alongside a master’s degree, including our CEPH-accredited Master of Public Health, which Forbes ranked among the best online M.P.H. programs in 2023.1 We designed this online program for health care professionals wanting to learn to apply statistical methods and data-driven evidence to inform and improve public health initiatives.
Certificate Highlights
- Get introduced to advanced analytics tools
- Learn from expert faculty with real-world experience
- No GRE/GMAT requirement
- No application fee
Our Curriculum Imparts Specialized Skills
5 Courses
Flexible Format
While pursuing a Data Analytics Graduate Certificate online, you’ll gain skills in biostatistical methods, applied linear models and categorical data analysis. The online courses offer more than flexibility — you’ll also learn to use analytical software and tools that apply to a range of careers. Moreover, our program includes an epidemiology course that explores how to harness descriptive and analytic methods in public health settings.
Required Data Analytics Courses
Applies statistical reasoning and methods in addressing, analyzing, and solving problems in public health, healthcare, and biomedical, clinical and population-based research.
Prerequisite: Algebra or equivalent.
This course introduces students to the basic principles of epidemiology, the study of the distribution, determinants and control of health in populations. The course will emphasize fundamental epidemiologic methods, including descriptive and analytic methods, in a variety of public health settings.
This course introduces students to public health research methods, including study design, data collection and analysis, and interpretation of findings.
The course commences with the basic foundations for regression and progresses to simple and multiple linear regression, the associated hypotheses, model assumptions and diagnostics, model building, and common regression pitfalls. Computing and data lab will cover techniques and strategies for linear regression in SPSS.
Prerequisites: PBHL 5502 and PBHL 5504.
Instruction in how to perform categorical data analysis. Topics covered will include estimation and inference for contingency tables, Generalized Linear Models (GLM) for categorical and ordinal data, McNemar’s Test, and Cochran-Mantel-Haenszel methods. Computing and data lab will provide instruction on how to carry out the above analyses in SPSS. Emphasis will be placed on interpreting test and model results within the context of epidemiology and public health.
Prerequisites: PBHL 5502 and PBHL 5504.
Open Doors to In-Demand Careers
Health care professionals who hold a Certificate in Data Analytics can pursue an array of lucrative roles, including biostatistician, data scientist and research analyst. After completing this graduate certificate, you’ll be ready to advance your career with universities, pharmaceutical companies, environmental agencies, government agencies, research centers and beyond.
Data Analytics Career Paths
Biostatistician $83,952 average annual salary2
Data Scientist $101,528 average annual salary3
Value of a Certificate
Our graduate certificate in data analytics online program helps you gain innovative skills without committing to a full master’s program. You’ll take each course online, engaging in a flexible learning experience to acquire a relevant credential that enhances your resume.
Transfer Your Credits to a Master’s Program
After completing this graduate certificate program, you can transfer credits toward our Master of Public Health and dual degrees in M.P.H./Master of Business Administration and M.P.H./M.S. in Management and Organizational Behavior. We also provide the option to seek this graduate certificate alongside a full master’s degree.
Certificate Outcomes
- Apply mathematical and statistical theory and methods to understand and address health problems.
- Collect, organize, interpret and summarize data to provide actionable information on topics such as infectious diseases, air pollution and cancer.
- Gain basic knowledge of SPSS, a statistical software package used by many organizations.
- Learn to utilize and apply statistical methods such as one- and two-way ANOVA, ANCOVA, diagnostics, model building, regression analysis, McNemar’s Test and Cochran-Mantel-Haenszel Method.
Start Your Application Today
Application Deadline August 11, 2025
Start Date August 25, 2025
We offer a simple admissions process for students interested in earning a Graduate Certificate in Data Analytics online. There are no application fees or testing requirements, making it easier to get started.
| Online Application Form | Apply Now |
|---|---|
| Prerequisite Degree | Demonstrate proof of a baccalaureate degree from a regionally accredited college or university |
| Transcripts | Official transcripts from all previously attended colleges and universities |
| Additional Requirements | Students must meet with a graduate student success advisor prior to registering for certificate courses |
Review the Tuition for Our Data Analytics Graduate Certificate
$800 per Credit
15 Credit Hours
Benedictine University designed the online Certificate in Data Analytics program to provide a valuable return for your career. You’ll benefit from competitive tuition, and our admissions counselors can help you capitalize on a variety of financial aid options.
Tuition & AidSources
- Forbes. “Best Online M.P.H. Programs Of 2023.” Retrieved February 18, 2025, from https://www.forbes.com/advisor/education/healthcare/best-online-mph-degree-programs/#benedictine_university_section.
- Payscale. “Average Biostatistician Salary.” Retrieved April 18, 2025, from https://www.payscale.com/research/US/Job=Biostatistician/Salary.
- Payscale. “Average Data Scientist Salary.” Retrieved April 18, 2025, from https://www.payscale.com/research/US/Job=Data_Scientist/Salary.