The Graduate Certificate in Business Data Mining curriculum requirement is 12 credit hours as per details given below.

STUDENTS MUST COMPLETE THE FOLLOWING CORE COURSES:

This course covers basic probability and statistical concepts (including p-value, tests for differences in means, sampling techniques/concepts), statistical modeling (Multiple Regression, Logistic Regression, Principal Components Analysis), and experimental designs (ANOVA).  The focus of this class is on hands-on learning of how to use statistical techniques to solve business problems.  This class uses SAS Enterprise Guide and Base SAS extensively.

MKTG 5963, Data Mining and CRM applications
This course covers all topics related to data mining applications in CRM contexts (such as data manipulation, data exploration, Neural Net, Decision Trees, Cluster analysis, Sequence analysis, Association Models, Two-stage modeling, etc.). The focus of this course is hands-on learning of how to use non-statistical (algorithm-based) techniques to solve business problems.  This class uses SAS Enterprise Miner extensively. This course also prepares students to take the SAS certification Exam in Predictive Modeling. It is strongly recommended that students complete MKTG5983 before enrolling in MKTG5963.

STUDENTS MUST COMPLETE AT LEAST 6 HOURS FROM THE FOLLOWING NON-CORE COURSES:

MKTG 5220 - Advanced Data Mining Applications
(online course only - usually offered in Summer semester - prerequisite must have completed MKTG5963): Advanced customer segmentation models, Advanced predictive models such as Two-stage models, Survival (attrition) models, Advanced Neural Network models and other models in the context of customer lifecycle management.

MKTG 5220 – Base SAS Programming for Data Base Marketing
(new course - offered in Fall semester): Programming in Base SAS, Reading, Manipulating, Combining Data in Base SAS, SAS Report, SAS SQL, SAS Macros, prepares students for SAS certification for Base programmer (http://support.sas.com/certify/creds/bp.html).

MSIS 5123, Enterprise Resource Planning
Resource planning for today's global business organizations. Integrated data flow and computer software for enterprise resource planning. Integration of transactional analysis, fundamental accounting practice, financial planning, and supply chain analysis forming the basis for study in this integrated approach to enterprise resource planning

MSIS 5643, Advanced Database Management
Advanced theoretical and practical foundations of database systems. Brief review of classical issues surrounding design, analysis, and implementation of databases. Overview and use of modern database systems. Current and emerging issues in the database field.

MSIS 5633, Decision Support and Expert Systems
Technical and managerial issues involved in the evaluation, acquisition and implementation of advanced technologies, such as decision support systems, expert systems, artificial intelligence, executive information systems, neural networks and others.

MKTG 6413, Advanced Marketing Research
This course covers advanced multivariate statistical tools and models for analyzing business and research data.  The topics covered include MANOVA, Multiple Discriminant Analysis, Factor and Principal Components Analysis, Conjoint Analysis, Multidimensional Scaling, etc.

MKTG 5993, Digital Business Strategy
This course attempts to address how companies create value for its customers using emerging digital technologies. The course also uses a powerful business simulation game.  In the simulation, teams of students play against each other as they try to manage their virtual companies (by analyzing business data) in a fast-paced competitive environment. (Or, a combination of MBA 5500, Strategic Digital Business Management (2 credit hours) and MBA 5500, Creating Customer Value Using Digital Marketing (1 credit hour). These two short weekend-based courses have content that are equivalent to the content of MKTG 5993.)

ADDITIONAL COURSE:

(Not required but recommended)

STAT5910 - Statistical Analysis System
(1 credit hour) SAS dataset construction, elementary statistical analysis, and use of statistics and graphics procedures available in the SAS package. Taking this course will get you familiarized with SAS and consequently will help you in MKTG5983 and MKTG5963 courses.  Also, this course is recommended for those who might want to pursue BASE SAS certification.