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 (course number will likely change to MKTG5883 beginning 2011)
(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 – currently offered in Fall and Spring semesters):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. Taking this course will get you familiarized with SAS and consequently will help you in MKTG5983 and MKTG5963 courses.  Also, this course is strongly recommended for those who might want to pursue BASE SAS certification. Finally, this course will also give you some ideas about how to prepare for  Advanced SAS certification.

MKTG 6413 - Advanced Marketing Research (Offered every even year in Spring semester):
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. Students must have good ideas about ANOVA and multiple regression (topics covered in MKTG5983) before taking this course.

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.

MBA5500 - Strategic Digital Business Management (2 Credit hours).
Not oferred online but offered in OSU Tulsa during Summer using a compressed format (two weeknights and one weekend): The course uses a powerful and comprehensive business simulation game to teach the principles of strategic management. In the simulation teams of students play against each other as they try to manage their digital businesses in a fast-paced competitive environment.

MBA5500 - Creating Value through Services and Digital Marketing (1 Credit hour).
Not available online, but offered in OSU Tulsa during Fall using a compressed format (one weekend):
This course addresses how companies create value for its customers using services and digital technologies. The course uses two short business simulations where students teams play against a simulated competitor.(Note: The two MBA 5500 courses fit and complement each other. However, these courses can be taken in any sequence)