Graduate Certificate in Business Intelligence and Data Mining
Overview
The Graduate Certificate in Business Intelligence and Data Mining emphasizes knowledge, skills, and abilities associated with the design, delivery and use of business intelligence and data mining techniques in organizations. Students successfully completing the program will be well positioned to support the growing need to extract meaningful information from organizational data repositories through application of structured processes. The certificate program requires courses in business perspective, statistics, data preparation, and data mining leading to a joint SAS Institute/UTD certificate in business intelligence and data mining. The SAS Institute's business intelligence platform is the market leader in advanced analytical software.
Curriculum
The following four semester long course are required:
Business Perspective
MIS 6309 Business Data Warehousing with SAP The course discusses data warehousing principles and techniques and introductory business intelligence. It focuses on SAP business warehousing and reporting. Students will learn how to develop and implement queries that mine existing data which reside in an SAP Business Warehouse.
Statistics
OPRE Quantitative Introduction to Risk and Uncertainty Introduction to statistical and probabilistic methods and theory applicable to situations faced by managers. Topics include: data presentation and summarization, regression analysis, fundamental probability theory and random variables, introductory decision analysis, estimation, confidence intervals, hypothesis testing, and One Way ANOVA.
Data Warehousing/Data Preparation
MIS 6324 Business Intelligence Software and Techniques This course focuses on extracting business intelligence from firm's business data for various applications, including (but not limited to) customer segmentation, customer relationship management (CRM), customization and product assortment. Emphasis is placed on the "how" aspect - how to extract and apply business intelligence to improve business decision making. Various business intelligence software and techniques (primarily data mining techniques such as clustering, classification and personalization) are covered.
Data Mining Using Enterprise Miner
MIS 6334 Advanced Business Intelligence with SAS This course incorporates the use of SAS Enterprise Miner and covers the following items: data input and partitioning, variable selection and transformation, imputation, regression, decision trees, neural networks and model comparison. The course requires students to complete a major data mining project and present the findings in a formal manner.
Application
The program is open to degree and non-degree seeking students. Students already enrolled in a degree program in the School of Management are automatically eligible for enrolling in the certificate program and may begin taking required courses immediately via normal course registration procedures.
To apply to the Business Intelligence and Data Mining Certificate Program as a non-degree seeking student, complete an online application at http://www.utdallas.edu/admissions/graduate/. After creating an account, select the button to “Create a new graduate school application” and then select “The University of Texas at Dallas” as the university and “Information Technology and Management – Non-degree” for the major. Complete all required elements of the application and press submit. This application will then be forwarded to the advising office as a non-degree seeking applicant for the certificate program.
For more information or questions regarding the program, please contact Mark Thouin at mark.thouin@utdallas.edu.
