Graduate Certificate in Data Analytics
What You’ll Study
The Graduate Certificate in Data Analytics program prepares professionals to turn complex data into actionable business insight using modern analytical methods and industry-relevant tools. Designed for working adults, this certificate program in data analytics focuses on practical skills in data management, quantitative analysis, and decision support, all of which are skills employers expect from today’s data analysts.
Students complete three graduate-level analytics courses emphasizing:
- Data collection, storage, and retrieval strategies
- Applied data analysis techniques for real-world business problems
- Analytical tools and frameworks in professional data environments
This data analytics certificate is available either online or in person, allowing students to build technical and analytical expertise while continuing to work full-time.
Classes are held once a week and offered as 8- or 16-week sessions. The program may be completed fully online, making it a strong option for students seeking a data analyst certification online experience within an accredited graduate-level curriculum.
All classes can be applied toward the MSEM or MSCIS program upon successful completion, allowing students to continue seamlessly into a full master’s program.
Whether you are advancing your career or transitioning into analytics, this graduate certificate in data analytics provides a focused and practical pathway into today’s data-driven workforce.
Why Choose this Data Analytics Certificate?
This program is well-suited for professionals seeking:
- A recognized data analysis certification based on graduate-level coursework
- Flexible data analyst certification courses designed for working professionals
- A short, focused alternative to longer degree programs
- A career-ready option among today’s data analytics certification programs
Graduates leave with applied experience in analytics methodologies and tools that support business intelligence, operations, and technology-driven decision-making.
Career Opportunities with a Graduate Certificate in Data Analytics
The Graduate Certificate in Data Analytics prepares students for applied, entry-to-mid-level analytics roles across business, technology, healthcare, finance, and operations. This focused certificate program in data analytics helps professionals build job-ready skills in data analysis, reporting, and decision support.
Graduates of this data analytics certificate online or on-campus program are well-positioned for roles such as:
- Data Analyst
- Business Intelligence Analyst
- Operations Analyst
- Reporting and Analytics Specialist
- Junior Data Scientist (in applied or business-focused environments)
- Data and Systems Analyst
This program is especially valuable for professionals seeking a practical and flexible data analyst certification online pathway that emphasizes real-world analytics tools and methods. The curriculum supports career growth for those already working in business, IT, operations, or management and looking to transition into analytics-focused responsibilities.
Required Courses for Graduate Certificate in Data Analytics
You may choose three courses from the following:
- ECIS 602 Data Visualization – 3 credits
Techniques for processing and visualizing data using software tools to interpret patterns and aid decision-making.
- ECIS/ENGM 607. Operations Research – 3 credits
Models and methods of operations research in solving engineering and management problems. Includes linear models, linear programming, duality, post-optimality, and network analysis and simulation.
- ECIS/ENGM 634 Supply Chain Analytics – 3 credits
Quantitative techniques to efficiently manage supply and demand networks. Identify relevant business and economic factors to forecast demand. Cost-benefit analysis for optimizing production and distribution in supply chains.
- ECIS 637. Database and Big Data Management – 3 credits
Survey of current database approaches and systems. Topics include DBMS types, architecture, introduction to SQL, and query optimization. DB management project required.
- ECIS 638. Introduction to Data Science – 3 credits
Practical tools used to analyze and interpret data. A review of probability, statistics, and software programming. Data pre-processing techniques, spectral analysis techniques, supervised learning techniques in classification and regression, unsupervised learning techniques in clustering, and visualization techniques.
- ECIS 639. Software Programming for Engineers – 3 credits
The course introduces concepts of Python programming for engineering and IT applications. Topics include variables, conditionals and loops, functions, files and input/output, and object-oriented techniques.
Program Format
- Three graduate-level courses
- Online or on-campus delivery
- 8 or 16-week course options
This structure allows students to complete a data analyst certification pathway efficiently while maintaining professional and personal commitments.
How to Apply
To apply for the Graduate Certificate in Data Analytics, submit the following:
1. Graduate Program Application
- Select Graduate for Application Type
- Select Graduate Special/Non-Degree Seeking for Student Type
- Select “Yes” to indicate you will pursue a certificate
- Select the preferred graduate certificate program
