SAS Enterprise Miner Certificate Program
Srinath Sivaramakrishnan
Overview
The proposed SAS Enterprise Miner certificate program requires courses in business perspective, statistics, data preparation, and data mining leading to a joint SAS Institute/UTD certificate in data mining. The SAS Institute's platform of software solutions is the market leader in business intelligence and data mining software. The certificate requires students to complete the following four courses. Each course is a three credit hour semester long course currently being offered by the university.
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.
Students already enrolled in a degree program in the School of Management will automatically be eligible for enrolling in the SAS Enterprise Miner Certificate Program. The proposed certificate program will use existing university procedures for admitting non-degree seeking students. Degree and non-degree seeking students wishing to complete the certificate program must satisfactorily complete and pass with a grade of B or better the four required courses in the curriculum plan along with any unmet course pre-requisites.