Program Details

In order to qualify for the SAS/OSU data mining certificate, graduate students must complete 12 credit hours of courses, including two core courses and two elective courses. A brief description of each course follows.

Core Courses

(All students must take these two courses. The only exception is that we will allow students to replace MKTG5983 if they take both STAT5063 and STAT5073. It is strongly advised that students take MKTG5983 first and then MKTG5963.)

MKTG5983 - Database Marketing (usually offered in the Fall semester): 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), 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 mostly SAS Enterprise Guide and some Base SAS.

MKTG5963 - Data Mining and CRM applications (usually offered in the Spring semester): 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.

Elective Courses

(Choose any 2 from the following 4 courses)

MSIS 5123 - Enterprise resource Planning(usually offered in the both Fall and Spring semesters): 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.

MSIS5643 - Advanced Database Management (usually offered in both Fall and Spring semesters): 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.  (Note: MSIS5643 can be replaced by IEM5723 – Data, Process and Object Modeling (usually offered in Spring semester)

MSIS5633 - Decision Support and Expert Systems (usually offered in the Fall semester): 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. 
    
MKTG5993 - Digital Business Strategy (currently not on schedule): This course attempts to address how companies create value for its customers using digital technologies. The course uses cases, readings a powerful business simulation game. In the simulation teams of students play against each other as they try to manage their virtual companies in a fast-paced competitive environment.
Note: The above course is currently not on OSU’s schedule. It is being replaced by combinations of MBA5500 courses (weekend-based classes only). One of the MBA5500 courses (Strategic Digital Business Management – 2 credit hours or Strategic Service Business Management – 2 credit hours) will likely be offered in Tulsa in Summer (two Saturdays and Sundays). The other MBA5500 course (Creating Value through Digital Marketing – 1 credit hour) will likely be offered in Fall in Tulsa (two Saturdays). The combination MBA5500 courses (3 credit hours) will count as a replacement for MKTG5993 for the purpose of SAS OSU Data Mining certificate requirement.

Recommended Course

(Not required but very strongly recommended. This course will help you prepare for the BASE SAS Certification exam. The BASE SAS certification complements the SAS OSU DM certificate. Please contact Professor Carla Goad (phone: 405.744.5684, email: carla.goad@okstate.edu) regarding the course details.)

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.

Note: For books/help on BASE SAS certification, consult the SAS web site that has a lot of valuable information (including online courses that prepare you for SAS certification): http://support.sas.com/certify/ and http://www.sas.com/apps/elearning/elearning_courses.jsp?cat=SAS+Certification