About the program
Thanks to light-speed development of computer and information technologies, many organizations are capable to store vast amounts of data in their information systems. In today's business world, more and more companies are depending on valuable information derived from such large-scale business datasets to gain competitive advantage and to make better business decision.
As a result, analyzing business data and turning the data into useful business knowledge is becoming a necessary responsibility in a variety of job positions. On the other hand, there is a shortage of business professionals knowledgeable about data analysis, and the demand for skilled data miners is high. In order to fulfill the gap, especially for businesses in Alaska, the College of Business and Public Policy (CBPP) and SAS Institute offer a joint education program in data mining.
Our program provides you with the opportunity to improve your skills at analyzing massive business datasets, turning data into business knowledge, and eventually making better business decisions. After successfully completing the program, you will earn a certificate that is widely recognized in the industry.
This program consists of six graduate level courses. MBA students must complete 12 credit hours of core courses and 6 credit hours of business elective courses (many of the courses are also part of the requirements for the MBA degree). After successfully fulfilling the requirements, students qualify for the Data Mining Certificate jointly issued by SAS and CBPP. Brief descriptions of each course included in this program are given below. In addition to the coursework, the student must complete independently a data mining project, ideally based on a big real dataset, using SAS Enterprise Miner and give a public presentation of the project to general audiences.
(Complete all four courses with grade “B” or higher)
BA A633 Problem Formulation and Decision Analysis - Identification and formulation of business problems with alternative approaches to modeling and analysis. Students will undertake data collection and utilize appropriate software tools for optimization, regression, forecasting, and simulation of business processes. Focuses on formal quantitative modeling with strong recognition of the behavioral and political contexts of decision making in complex organizations.
BA A648 Business Intelligence and Data Mining - Covers basic business intelligence and data mining warehousing and querying. Focuses on applying business intelligence and data mining techniques including marketing campaigns, fraud, and terrorism detection. Popular data mining software will be sued to illustrate decision trees, classification algorithms, and other data mining techniques. This is a core course for SAS Data Mining Certification.
BA A649 Advanced Business Data Analysis - Analyze business data using popular statistical methods including ANOVA, ANCOVA, regression and logistical regression. Emphasizes the appropriate selection and use of statistical analysis methods based on variation pattern of observed business data. Present analysis results in an appropriate way for business decision making purposes. Statistical software package of SAS is intensively used to build statistical models for business data. This course will prepare students for the SAS certification exam for Statistical Business Analyst
CIS A670 Data Warehouse and Business Intelligence - Introduces students to the theory and practice of data warehouses for enterprises and business intelligence for enterprise resource planning (ERP) systems. Surveys processes of extraction, cleansing, consolidation and transformation of heterogeneous data into a single enterprise data warehouse. Reviews how business intelligence can be derived from data warehouses.
Business Elective Courses
(Choose two courses in different fields from the following courses, e.g. BA A636 and BA A635, and complete with grade "B" or higher.)
BA A686 Management Simulation - Provides the opportunity to gain valuable hands-on experience in running a business as a member of a senior management team. Students define strategies and apply strategic concepts and techniques within a practical decision-making framework. The simulation demonstrates how a firm's production, marketing, R&D, HR, and financial operations interact, and how key decisions impact business performance within a competitive market. Students compete simultaneously with fellow classmates and student teams from universities around the world.
BA A655 Strategic Management Seminar - Analysis of the strategic environment; formulation and implementation of strategy. Role of top management and other stakeholders in setting the organization's fundamental direction. Structure and control system design for strategic support.
BA A692 Investment Seminar - Provides coverage of the products, analytical techniques for valuing investment securities, and quantifying their exposure to changes in economic conditions, as well as portfolio strategies for achieving an investor's objectives.
BA A636 Financial Decision Making - Advanced course in financial decision making presenting analytical techniques and concepts. Includes multifactor asset pricing models; free cash flow and corporate valuation; capital budgeting risk analysis and real options; working capital management, capital structure theory, mergers, and corporate bankruptcies.
BA A640 Global Marketing - Examines the role of marketing in international markets and a global economy
BA A635 Current Marketing Issues Seminar - Explores the origin, nature, and ramifications of current issues in marketing that are redefining the role and scope of applied marketing management practices in contemporary organizations. Discusses the major ongoing socio-cultural and technological issues and trends impacting marketing research, competitive strategies, product/service design, pricing, promotion, and distribution.