Catalog Version

Summer/Autumn 2013
Catalog update:
May 15, 2013

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Students are required to follow the Academic Handbook and Code of Student Responsibility​​

Course Requirements

Students should have sufficient knowledge in calculus, statistics, programming, and mathematical sciences to enter the program. If students need to acquire some of these skills, one or more of the following courses will be recommended:  GSB 420; MAT 135; MAT 137; MAT 140.

Students complete the MS in Marketing Analysis by taking seven required courses and five elective courses for a total of 12 courses.    

Core Courses

Elective Courses

Students are to select two additional courses from marketing (MKT) and three courses from the Analytical Group for a total of five courses from the following list of approved electives.  Please note that approved electives may have prerequisites that are not part of the M.S.M.A. curriculum and will not be waived.

Marketing Electives

The Analytical Group

Degree Requirements

  • Satisfactory completion of the college residency requirement.
  • Completion of the seven required courses, or their substitutes as approved by the Chair of the Marketing Department: 28 quarter hours.
  • Completion of five elective courses to be selected from a list of 13 approved electives such that two are from marketing; two are from information systems; and one is from economics. 20 quarter hours.
  • All courses for credit toward the degree must be completed within six calendar years after the candidate’s first term of enrollment in the Kellstadt Graduate School of Business. After a lapse of six years a course is expired. An expired course is not acceptable for the purpose of satisfaction of degree requirements and is not applicable to the degree.

GSB 420


This course provides a comprehensive review of some basic mathematical and statistical methods and stresses their practical applications in business and economics. The course will equip the student with the quantitative skills required in the MBA program and will also provide a good foundation for addressing typical problems that arise in business. Additionally, the skills acquired in the course will also help the student prepare for the quantitative sections of professional exams, such as the CFA, the CPA and the CMA exams. This course will stress learning through applications/problem-solving using Excel and/or Minitab software for data analyses. However, the course must be analytical and theoretical to the extent that is necessary to develop a correct understanding of the topics presented. The topics covered in the course include relevant mathematical concepts: use of relevant functions and solving equations in unknowns, elementary calculus and graphing functions. It also focuses on relevant statistical concepts: probability theory, hypothesis testing, regression analysis and forecasting.

MAT 135


Differential calculus of one or more variables with business applications.
MAT 130 or equivalent is a prerequisite for this class.

MAT 137


Basic concepts of statistics and applications; data analysis with the use of Excel; theoretical distributions; sampling distributions; problems of estimation; hypothesis testing; problems of sampling; linear regression and correlation.
MAT 136 or equivalent is a prerequisite for this class.

MAT 140


Combinatorics, graph theory, propositional logic, singly-quantified statements, operational knowledge of set theory, functions, number systems, methods of direct and indirect proof.
MAT 130 or above or equivalents or placement by test is a prerequisite for this class.

MKT 555


Students are provided with an overview of the marketing process for consumer-oriented firms. Focus is placed on decision-making that aligns a firm's market offerings with the wants and needs of targeted segments of customers within a continuously changing environment. Written cases/projects are part of the course assignment.

MKT 525


This course provides an overview of the nature of marketing research and its role in decision-making with the organization. Specifically the students will concentrate their efforts on understanding the process of research design and implementation. Offered every quarter.

MKT 526


Those students interested in more extensive marketing research experience should enroll in this course. The student will begin with a data set and work closely with the instructor in performing multivariate data analysis and developing a format for presentation of results.
MKT 525 is a prerequisite for this class.

MKT 534


This course seeks to provide an in-depth understanding of both qualitative and quantitative analytical tools that are of critical importance to marketers. These tools will help marketers avoid head-to-head competition, understand customer perceptions, understand customer preferences, develope accurate sales forecasts, and financially value marketing strategies. The course is designed to be "hands-on" in that students will develop understanding mainly through conducting application projects and presenting results. The course is also designed to be immediately applicable to marketers' current and future jobs.
MKT 555 is a prerequisite for this class.

MKT 535


The basic elements of planning including the identification of the company's basic purpose and mission and their translation into specific objectives. Strategies to accomplish objectives are fused from marketing, financial, and manufacturing elements but emphasizing marketing elements. This course focuses on the contribution of marketing to the establishment of company policies, objectives, and marketing planning.
MKT 555 is a prerequisite for this class.

MKT 545


Required for Marketing concentration. A review of the various theories, models, and techniques that attempt to explain consumer behavior. The course consists of lecture-discussions of behavioral theories, the empirical findings of contemporary research, and case studies designed to illustrate the salient issues involved in developing consumer-oriented marketing strategies.
MKT 555 is a prerequisite for this class.

MGT 500


Students will critically examine ethical and creative methods to solve problems related to managing individuals and teams. Students utilize feedback from a developmental assessment center assessing their managerial and interpersonal skills. Personal development plans are created and skills developed throughout the course. Skill development domains include perception, attribution, motivation, learning leadership, communication, team development, managing change and conflict, decision-making, power and politics and business ethics.
MS in Taxation students are restricted from registering for this class.

MKT 528


Qualitative Research Methods will explore non-survey and non-experimental techniques useful in researching issues with marketing implications. Lectures and reading assignments will be punctuated with experimental exercises, videotapes, and student presentations. Topics will include question design, content analysis, and unstructured or simple observation. Projective techniques and other indirect methods, in-depth/in-person interviews, and focus group sessions. Offered variably.
MKT 525 and MKT 545 are a prerequisite for this class.

MKT 529


The ever increasing amount of data about consumers and transactions allows marketers to better understand who their customers are and what they are buying. This course explores a wide variety of data sources and how they are used in marketing, with a special emphasis on segmentation, targeting and positioning.Offered winter quarter.

MKT 530


Students are introduced to a new strategy methodology, CRM, which is currently being adopted by many organizations in efforts to enhance their competitive advantage. Focus is placed on understanding how an enhanced customer relationship environment can differentiate an organization in a highly competitive marketplace. Both the business and consumer markets are examined in multiple vertical markets. New technology demonstrations and their impact will be discussed. Guest speakers provide current best-practice methods. Topics included: Case analysis and projects make up the course assignments.

MKT 578


Students taking this course will be provided with a comprehensive understanding of sales strategy and an appreciation of sales technology used today to optimally organize and deploy sales resources. At the heart of this course is an introduction to the principles of customer relationship marketing and customer acquisition programming. Students will learn via lecture, text, guest lectures, exposure to the latest technological tools and current case study. This course will benefit participants by providing a true perspective as to what role sales plays today and will play in the future of customer-centric organizations.

MKT 595


Explores the emerging business models, rules, tactics, and strategies associated with this medium. Integration with other channels and marketing operations is stressed. Classes are discussion-based, drawing on current applied readings and cases from a variety of industries in both the business-to-business and business-consumer markets.
MKT 555 is a prerequisite for this class.

ECO 798


Content and format of this course are variable. An in-depth study of current issues in economics. Subject matter will be indicated in class schedule.

CSC 423


Multiple regression and correlation, residual analysis, analysis of variance, and robustness. These topics will be studied from a data analytic perspective, supported by an investigation of available statistical software. PREREQUISITE(S): IT 403
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

CSC 424


The course will teach advanced statistical techniques to discover information from large sets of data. The course topics include visualization techniques to summarize and display high dimensional data, dimensional reduction techniques such as principal component analysis and factor analysis, clustering techniques for discovering patterns from large datasets, and classification techniques for decision making. The methods will be implemented using standard computer packages. PREREQUISITE(S): CSC 423 or consent of instructor.
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

CSC 425


The course introduces students to statistical models for time series analysis and forecasting. The course topics include: autocorrelated data analysis, Box-Jenkins models (autoregressive, moving average, and autoregressive moving average models), analysis of seasonality, volatility models (GARCH-type, GARCH-M type, etc.), forecasting evaluation and diagnostics checking. The course will emphasize applications to financial data, volatility modeling and risk management. Real examples will be used throughout the course. PREREQUISITE(S): CSC 423 or MAT 456 or consent of instructor
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 549


Introduction to data warehousing and the foundations of understanding the issues involved in building a successful data warehouse. Data warehouse development methodology and issues surrounding the planning of the data warehouse. Data quality and metadata in the data warehouse. Analysis, transformation and loading of data into a data warehouse. Development of the data architecture and physical design. Implementation and administration of the data warehouse. Introduction to data mining. (PREREQUISTE(S):CSC 451 or CSC 453
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

IS 567


An introduction to the Knowledge Discovery Technologies covering all stages of a data mining process: domain understanding, data collection and selection, data cleaning and transformation, dimensionality reduction, pattern discovery, evaluation, and knowledge extraction. The course provides a comprehensive overview of data mining techniques used to realize these stages, including traditional statistical analysis and machine learning techniques. Students will analyze large datasets and develop modeling solutions to support decision making in various domains such as healthcare, finance, security, marketing, customer relationship management (CRM), and multimedia. PREREQUISITE(S): IT 403
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.

ECT 584


An in-depth study of the knowledge discovery process and its applications in Web mining, Web analytics and business intelligence. The course provides coverage of various aspects of data collection and preprocessing, as well as basic data mining techniques for segmentation, classification, predictive modeling, association analysis, and sequential pattern discovery. The primary focus of the course is the application of these techniques to Web analytics, user behavior modeling, e-metrics for business intelligence, Web personalization and recommender systems. Also addressed are privacy and ethical issues related to Web data mining. Students can choose from three types of final course projects: implementation projects, research papers, or data analysis projects. Throughout the course, the students will learn and use a variety of data mining tools to analyze sample data sets as part of class assignments. PREREQUISITE(S): IT 403 AND (CSC 451 or CSC 453)
CDM graduate students in the Preqrequisite Phase are restricted from registering for this class.