The overarching goal of the Graduate Certificate Program in Business Analytics is to provide students with a strong foundation in analytical methods, techniques, and tools and train them to apply their analytical skills in making informed data-driven decisions.
Students learn skills to acquire and manage real business data from various sources and prepare and visualize the data into compelling charts and dashboards to communicate patterns, trends, and findings.
The program emphasizes the application of advanced analytical modeling to analyze massive structured and/or unstructured data and create business insights.
CIS 6400
Business Analytics
This course is designed to give students comprehensive analytical skills.
The need for historic and predictive analytics in the health care industry will be examined.
Health care data from multiple sources will be integrated, manipulated, aggregated, and filtered.
Students will experience dashboard software, and use both predictive models and automated processes to advance data examination and interpretation.
Credits: 3.5 hours
Targeted Students: Working Professionals
Language Taught: All English
Structure: Cohort. 30 per cohort (up to 40)
Regular Course Instruction: online class on Saturday
Duration: Each class meeting time 3.5 hours for 7 weeks
CIS 6300
Business Data Management
This course teaches Business Data Management, including relational database design, management, administration, implementation, data security, and data migration.
It covers Big Data and NoSQL databases, and students may use tools such as Microsoft SQL Server, MongoDB, and business intelligence/development tools.
Credits: 3.5 hours
Targeted Students: Working Professionals
Language Taught: All English
Structure: Cohort. 30 per cohort (up to 40)
Regular Course Instruction: online class on Saturday
Duration: Each class meeting time 3.5 hours for 7 weeks
CIS 6500
Visual Analytics
This course introduces data visualization, exploratory data analysis, and visualization theories.
Students will learn visualization techniques to analyze real-time and/or off-line data, create high-impact visualizations, and build interactive dashboards to uncover critical business insights.
Students will also learn to design data stories with effective visuals to communicate analytics findings to the intended audiences.
Credits: 3.5 hours
Targeted Students: Working Professionals
Language Taught: All English
Structure: Cohort. 30 per cohort (up to 40)
Regular Course Instruction: online class on Saturday
Duration: Each class meeting time 3.5 hours for 7 weeks
CIS 6640
Predictive Analytics and Data Mining
This course provides students with an understanding of analytical techniques from business analytics, business intelligence and data mining to make practical business predictions and other data-driven decisions.
Students will learn a variety of techniques to perform predictive and other forms of analytics, including data preparation, classification, prediction, clustering, regression, association, cross validation, performance evaluation, anomaly detection, etc. Practical real life data (numeric and text) will be analyzed.
Credits: 3.5 hours
Targeted Students: Working Professionals
Language Taught: All English
Structure: Cohort. 30 per cohort (up to 40)
Regular Course Instruction: online class on Saturday
Duration: Each class meeting time 3.5 hours for 7 weeks
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