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Business & Technology

Graduate Certificate in Business Analytics

 

The graduate certificate program in Business Analytics uses data and analytics to identify business opportunities,
generate business insights and create business solutions. Companies are looking for skilled professionals who can
work effectively in teams to frame key operational and strategic business questions and use data and analytics to
find the answers.

Business analysts and the work they do power nearly every decision results-oriented businesses make today. These
analysts work in the business’ core to model and plan operations, research and forecast trends. Understanding and
applying these skills is crucial to the business’ success. The graduate certificate in Business Analytics teaches
these essential skills.

The business analytics environment, including the kinds of software tools and data encountered in the
marketplace, presents students with realistic scenarios and cases. Students review the history and issues, analyze
the data, develop possible approaches, collaborate on teams to discuss alternatives, determine solution(s), and
measure and evaluate the outcomes.

Admission Requirements

Applicants interested in pursuing a graduate certificate in Business Analytics must meet the general admission requirements for Graduate Admissions.

Program Requirements

The certificate requires successful completion of a total of 12 semester credits. Students need to receive a grade of B or better in each course to receive the certificate. Students receiving a grade below a B would have to retake the course before credit would be given.

Tuition and Cost

Per Credit Hour: $325
Estimated Tuition: $4,410 (including fees)

Completion Time

1-2 semesters / 4-8 months

Graduate Certificate in Business Analytics Total
12 Credits

Course Requirements

BUA542:Descriptive and Predictive – Analytical Decision-Making Tools I

This course provides students with the opportunity to learn to apply and evaluate descriptive and predictive
analytic techniques, with an emphasis on data warehousing, forecasting and effective business communication of
analytical insights. It also addresses data/text/Web/Media mining for well-defined business problems, opportunities and accurate projections of the future states and conditions.

3 Credits

BUA543:Prescriptive Analytic Decision-Making Tools II

This course explores the topics of prescriptive analytics and modeling for business decision-making. The course
helps students to develop the necessary skills to master techniques that are at the heart of the competitive stance of many successful organizations by addressing situations where uncertainty is an important factor. The course includes a thorough discussion of topics such as optimization, simulation, decision modeling and expert systems, along with application for best possible business decisions and transactions. Prerequisites: BUA542 Descriptive and Predictive – Analytical Decision-Making Tools I

3 Credits

BUA546:Big Data and Future Directions for Business Analytics

The advent of BIG DATA has had a significant impact on all business. The ability to capture a vast amount of data
and expeditiously turn that data into actionable insight. This data has empowered companies to get closer to their customers, discover challenges and opportunities previously hidden and formulate more dynamic and responsive strategies to improve their competitive position through a more agile and connected execution. This course provides the technical knowledge and problem-solving skills to make sense of massive volumes of data. Students explore conceptual architectures for Big Data Solutions along with big data technologies, stream and location based Analytics.

3 Credits

BUI541:Decision Support Systems and Business Intelligence

This course addresses tools that are used by decision-makers to develop a better understanding of their businesses and customers. Student have the opportunity to assess a broad field of decision support systems, which includes a thorough discussion of SAS Visual Analytics, Business Intelligence (BI) Reports, Data Visualization for Problem Solving and other technologies for multidimensional analysis, basic Online Analytical Processing (OLAP) for BI, and SQL with OLAP extensions.

3 Credits