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Business environments have experienced a rapid increase the volume of data that is collected, stored, managed, and analyzed in recent years. To be useful, this data must be analyzed and transformed into information and actionable knowledge. The graduate certificate in Business Analytics with Big Data provides students with business analytics knowledge and skills necessary in the modern data-centric business environment. Students learn to apply descriptive, predictive, and prescriptive analytics techniques to business decision-making with an emphasis on predictive analytics and data analysis. In addition, students gain a working knowledge of data management methods.
An understanding of analytic techniques and their application prepares students for success in data-focused professional environments that are becoming the norm.
This certificate provides exposure to the “full spectrum” of analytics, including data management, data analysis, visualization, forecasting, and business modeling methods.
Classes are taught by faculty with expertise in a variety of areas, including business statistics, information technology, business modeling and simulation, and supply chain management
Meshes well with MBA program, allowing MBA students to satisfy elective requirements with certificate classes
This course addresses advanced business analytics techniques and the application of such techniques to large data sets. Some alternative business analytics strategies are introduced. Descriptive, predictive, and prescriptive models are included. Topics covered in this course include data visualization and exploration, cluster analysis, and developing and calibrating predictive models for big data. Applications of multivariate, logistic, and probit regression to business analytics are discussed. Software packages such as SAS/JMP/SPSS may be used. Prerequisites: A grade of C or better in BNAL 306 and a declared major in the University or permission from the Dean
This course introduces students to concepts and processes, technologies, and methodologies that are commonly used in data visualization that an organization may use to enhance its descriptive, predictive, and prescriptive methods for making fact-based decisions. Prerequisite: A grade of C or better in BNAL 306 or an equivalent course or instructor's permission.
This course covers both the theory and application of simulation modeling and analysis to business systems. Both discrete-event and continuous simulation modeling approaches are covered, using a major commercial simulation package. Emphasis will be on the use of simulation as a tool to support business decision making. Prerequisites: BNAL 606 or STAT 330 or MSIM 601 or BNAL 476 or BNAL 576 or BNAL 722 or BNAL 822.
Students entering the Certificate program in Business Analytics & Big Data should meet the minimum university admission requirements (Graduate Admission)
Estimated rates for the 2021-22 academic year. Rates are subject to change. Anyone that is not a current Virginia resident will be charged non-resident rates. That includes international students.
Our enrollment coordinators are ready to help you through the admissions process.
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1000 Rollins Hall, Norfolk, VA 23529
2101 Dragas Hall, Norfolk, VA 23529
With over 120 undergraduate programs, 130 graduate programs at the master's, education specialist and doctoral levels plus a wealth of certificate and professional development programs, Old Dominion University has the program for you. Visit our academic program listing page to see other programs ODU has to offer.