The University of Miami's Online Certificate in Data Management and Statistical Analysis offers professionals a flexible path to building analytical fluency and statistical confidence, with no prior technical experience required. Whether working in healthcare, behavioral sciences, education, or public service, this program provides practical training in modern tools and methodologies to extract, analyze, and act on data.
Structured for busy professionals, the certificate includes four graduate-level courses delivered 100% online. With 7-week sessions, SACSCOC accreditation, and financial aid eligibility, students engage in hands-on learning using R, Python, SPSS, and SAS. Undertaking data analytics programs online bridges foundational statistics and advanced programming to prepare you for data-informed leadership, graduate study, or immediate on-the-job application.
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Certificate At A Glance
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4 Courses
7 Weeks Per Course
1 Course At A Time
SACSCOC Accredited University
Eligible for Financial Aid
World-Class Faculty
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Course Descriptions
The Certificate in Data Management and Statistical Analysis will provide students with the data analysis skills required for a successful career in any industry, especially in the social, behavioral, or health science sectors. The coursework prepares students for further graduate education in data analytics and statistics. It equips them with the skills necessary to correctly interpret and apply data analytics to decision-making in their workplace.
Students will master advanced quantitative and computational concepts in addition to database management for programming languages like R, Python, SPSS, and SAS. With no prior technical experience necessary, this program is ideal for those seeking a comprehensive online statistics certificate or an online data analytics certificate, and an excellent way to gain this practical knowledge that can be applied to professional roles. Please note that a bachelor's degree is required to enroll in this certificate program.
All online courses offered by the University of Miami are led and taught by the same faculty as in-person courses, so online students can expect to learn the same material as on-campus learners.
This course introduces students to techniques of data analysis and statistical inference based on the General Linear Model (GLM). The major topics covered in this class include simple/multiple regression, one- and two-way Analysis of Variance (ANOVA) followed by multiple comparisons, Analysis of Covariance (ANCOVA), and Repeated Measures ANOVA. This course aims to provide a solid conceptual background of these topics, as well as the analytic skills for conducting educational and psychological research in practice. Knowledge of basic algebra and SPSS is required, as is an understanding of the fundamental principles of descriptive statistics and hypothesis testing. Knowledge of calculus is not required. Students will conduct statistical analyses using real datasets.
This course will provide: (1) a conceptually-oriented introduction to regression methods and (2) opportunities to learn related data-analytic techniques.
Centered on R programming, this course teaches students how to acquire, manage, and prepare data for reliable analysis. Through coding exercises and workflow automation, students gain experience in cleaning, screening, and structuring data for valid statistical inferences.
These applied skills translate directly into analyst roles that require scalable solutions, such as operations research, business intelligence, and systems evaluation.
Designed to evolve with industry trends, this course offers rotating modules on emerging methodologies. Recent topics include sentiment analysis, Python automation, and predictive modeling for decision-making.
Professionals gain early access to cutting-edge tools in academic research, policy consulting, and applied machine learning, enhancing adaptability in fast-changing analytical environments.
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Why Study a Data Analytics Course?
If "data is king," then its data analysis is gold. As the world continues to rely on big data, analytics is a skill that can be useful in any industry. Students pursuing data analytics programs online can hone the skills they learn and find success in any associated career.
Students enrolling in the University of Miami's applied statistics certificate online must have a bachelor's degree and be eligible for financial aid. This will provide them with access to a world-class faculty that will work with them in the following program areas:
Quantitative Research Methods
Applied Multivariate Statistics
Computer Applications in Educational and Behavioral Science Research
Advanced Topics in Research, Measurement, and Evaluation
The statistics certificate program online specifically focuses on the social, behavioral, and health science sectors. One of the best things about this robust program is that it doesn't require any technical experience. You'll learn these skills as you pursue your certificate in data management and analytics. By the end of the program, you'll be versed in programming languages as well as advanced computational and quantitative concepts.
Students also have the option of getting real-life experience in the field. They can use their statistical analysis certification and the skills they've learned to interpret and apply data analytics to assist in decision-making at any workplace, gain insights about products and services, and more.
Data analytics programs online also provide you with the option of continuing a graduate course of study. Most companies prefer candidates with a Master's degree in data analytics, and some positions may even require a Doctoral degree. This certificate provides you with a great foundation, regardless of the path you choose.
Data Analytics Career Options
This certificate positions you for high-impact roles where statistical insight, data visualization, and analytical fluency are essential. Below are examples of how the skills gained through a statistical data analysis course translate into diverse career paths.
1. Medical and Healthcare Analyst
Use programming tools from EPS 704 and multivariate logic from EPS 703 to evaluate treatment protocols, model patient outcomes, and streamline hospital operations. A data scientist in this space often supports clinical decision-making, policy design, or epidemiological forecasting.
2. Market Research Analyst
Apply regression techniques (EPS 702) and segmentation models (EPS 703) to analyze consumer trends, measure campaign success, and influence product positioning. Market research analysts create data visualizations and dashboards that guide marketing strategy and audience targeting.
3. Intelligence Analyst
Leverage statistical modeling and automation skills (EPS 704, EPS 711) to detect patterns in security data, assess geopolitical risks, and generate actionable insights. Common intelligence analyst roles exist in cybersecurity, law enforcement, and governmental think tanks.
4. Business Analyst
Combine multivariate business analysis (EPS 703) and performance metrics to identify operational inefficiencies and propose improvements. Business analysts interpret organizational data to inform leadership decisions across HR, finance, and logistics teams.
5. Operations Research Analyst
Use programming fluency from EPS 704 to design models that optimize workflows, supply chains, and resource allocation. Analysts in this field support sectors like manufacturing, transportation, and utilities with simulation and forecasting tools.
6. Public Health Data Specialist
Draw from EPS 711's training in mixed-method research and EPS 703's statistical foundations to evaluate community interventions, analyze public health trends, and advise on policy funding decisions.
7. Educational Data Analyst
Use survey design expertise from EPS 717 and evaluation techniques from EPS 711 to assess student outcomes, institutional effectiveness, and equity initiatives. Educational data analysts help schools and universities make informed improvements using actionable data.
8. Program Evaluation Consultant
Combine insights from all four courses of the certificate to design logic models, conduct impact studies, and deliver results to stakeholders. Program evaluation consultants often work with nonprofits, foundations, or government agencies to measure and optimize social programs.
9. Policy and Legislative Analyst
With analytical skills from EPS 711 and quantitative reasoning from EPS 702, policy and legislative analysts assess proposed legislation's social, financial, or legal impact. Graduates may draft white papers, guide advocacy campaigns, or support public officials with evidence-based analysis.
10. Survey Methodologist
Survey methodologists specialize in creating statistically valid surveys for customer research, employee feedback, or national polling. EPS 717 provides training in instrument development, sampling methods, and pilot testing, skills essential for data integrity and reliability.
11. UX or Product Research Assistant
UX and product research assistants use behavioral data and qualitative evaluation tools to inform user-centric product development. The flexible structure of EPS 711 allows exploration of text analysis, usability metrics, and feedback loops that improve software and service design.
It's a field with steady job growth that promises a bright and successful future, with data analysts always in demand.
Benefits of Studying Data Analytics Online
Enrolling in an online statistics certificate program provides you with:
Earning a degree isn’t easy, especially when you have a family and a full-time career. However, enrolling in a data analytics program online provides the flexibility you need. It will allow you to better manage your personal life, career, and education.
It's a short four-course program that can easily fit into your schedule. Commute time is not only non-existent, you get to set your own pace and use the seven weeks allotted to complete each course. This flexibility allows you to set aside the time you need to review the coursework, study, and complete assignments.
Pursuing data analytics programs online requires a comprehensive and innovative platform that encourages learning and engagement. The UOnline virtual platform uses the Blackboard Learn course management system. It’s easy to navigate and supports faculty, staff, and students. You can access course materials online at any time, anywhere.
Each instructor designs their courses to complement their hands-on instruction. Many also use Zoom to host virtual office hours, meetings, and/or guest speakers. Students can also keep track of their grades using the platform's grade center. This provides an overview of your current standing so you know what areas you need to improve on and where your strengths shine.
You’ll be a part of one of the best statistical analysis programs with access to top-notch instructors. The University’s online platform also facilitates the completion of your certificate in statistics online at your own pace. Although classes aren’t scheduled or live, regular checkpoints ensure students stay on target to achieve course milestones and program completion.
No matter what's going on in your personal or professional life, you won't need to miss important course information. Simply retrieve the course information and watch lectures at a time that works for you. The reading materials will also supplement your learning, making it easier to grasp concepts and gain a deep understanding of data. Online degree programs create the perfect learning environment for any student, allowing you to earn your degree your way.
You'll also have the full support of the University's faculty and staff. They'll assist with course content and materials during weekly office hours. You'll also have access to various student support resources, including a 24/7 IT team for technical issues and a dedicated online advisor.
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Tuition
All accepted students are eligible for a tuition waiver of at least 50% for the Certificate in Data Management and Statistical Analysis. This certificate is eligible for additional federal financial aid. Please contact one of our enrollment advisors to learn more.
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WHAT MOST PEOPLE PAY
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$19,036
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Application Deadline
We are now accepting applications for the Certificate in Data Management and Statistical Analysis. Please contact an enrollment advisor to learn more about enrollment deadlines and our next upcoming start date for this program.
