Graduate Certificate in Business Analytics
- Master of Business Administration International
- Master of Business Administration
- Graduate Certificate in Business Analytics
- Graduate Certificate in International Business
- Doctor of Business Administration
- Bachelor of Science in Information Technology
- Graduate Certificate in Marketing
- Doctor of Business Administration (International Student Track)
- Graduate Certificate in Project Management
- Graduate Certificate in Finance
- Graduate Certificate in Human Resources
- Bachelor of Arts in Management
- Graduate Certificate in Information Technology
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.
Tuition Rate:
$5,620
(including fees)
Monthly Payment Plan:
$375 per month
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.
Applicants interested in pursuing a graduate certificate in Business Analytics must meet the general admission requirements for Graduate Admissions.
For more information refer to the University Catalog.
Please refer to the University Catalog for Tuition and Fees.
1-2 semesters / 4-8 months
Graduate Certificate in Business Analytics Total: 12 Credits
Course Requirements:
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.
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.
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.
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.