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Master of Science in Business Intelligence & Analytics Course Descriptions
Built on the certification standards of SAS, Inc., the industry-leading Business Intelligence software provider, the curriculum of the online Business Intelligence & Analytics master’s degree from Saint Joseph’s University covers data mining, data warehousing, and data-driven communication to help graduates master front-to-back Business Intelligence and Analytics skills, something few other schools can offer. Graduates will receive not only the Business Intelligence & Analytics master’s degree, but a Business Intelligence Certificate endorsed by SAS, Inc., as well.
DSS 600 Foundations for Business Intelligence
DSS 610 Business Analytics
DSS 620 Concepts and Practice of DSS Modeling
DSS 630 Database Management Theory and Practice
DSS 640 Enterprise Data
DSS 650 Business Process Modeling & Analysis
DSS 660 Introduction to Data Mining
DSS 670 Critical Performance Management
DSS 680 Predictive Analysis
DSS 690 Management Issues in Business Intelligence
DSS 600 Foundations for Business Intelligence (3 credits)
This course is intended to provide an integrative foundation in the field of business intelligence at the operational, tactical, and strategic levels. Topics such as value chain, customer service management, business process analysis and design, transaction processing systems, management information systems, and executive information systems will be covered, along with other topics relevant to the field of business intelligence.
DSS 610 Business Analytics for BI (3 credits)
The aim of this course is to provide the student with an understanding of several management science techniques and to provide some insight into how these tools may be used to analyze complex business problems and arrive at a rational solution. The techniques to be studied are forecasting, linear planning, simulation, and modeling. Cases of increasing complexity will be used to emphasize problem description, definition, and formulation. The computer will be used extensively throughout the course, primarily by using available programs to perform the calculations after the problem has been correctly formulated. Emphasis will be placed on the interpretation and implementation of results. In addition, we will examine the future of analytics.
DSS 620 Concepts and Practice of DSS Modeling (3 credits)
Building on the background of DSS-600 and DSS-610 this course will extend the use of spreadsheet modeling and programming capabilities to explore decision models for planning and operations using statistical, mathematical and simulation tools.
DSS 630 Database Management Theory and Practice (3 credits)
Business Intelligence rests on the foundation of data storage and retrieval. In this course, students will be presented with the theory of operational database design and implementation. The concepts of normalization, database queries and database application development will be introduced using contemporary tools and software for program development.
DSS 640 Enterprise Data (3 credits)
Traditional database design concentrates on the functional areas of business and their database needs. At the strategic and value-chain levels we look at data across the enterprise and over time. The issues of Enterprise Data in the Data Warehouse, Data Marts, Enterprise Resource Planning (ERP), Supply Chain Management (SCM), Customer Relationship Management (CRM), Online Analytical Processing (OLAP) and the concepts of Data Mining will be surveyed in this course.
DSS 650 Business Process Modeling & Analysis (3 credits)
Using the case study approach in combination with contemporary software tools, students will apply the concepts of business process analysis and design, quality control and improvement, performance monitoring through performance dashboards and balanced scorecards and process simulation.
DSS 660 Introduction to Data Mining (3 credits)
This course in the Business Intelligence program will extend the concepts of data mining to an exploration of a contemporary Data Mining toolset on a large live dataset. In this course, students will be encouraged to find the patterns in the data and to prepare reports and presentations describing the implications of their findings.
DSS 670 Critical Performance Management (3 credits)
This course integrates the concepts of decision support, database management and critical performance management through practical application development of performance dashboards. When completed, students will be able to construct department level user-oriented applications that capture data from transaction processing systems and present that data for business users in decision-compelling format.
DSS 680 Predictive Analytics (3 credits)
This course extends the data mining process to the predictive modeling, model assessment, scoring and implementation stages. In this course, professional data mining software, small and large data sets will be used to effectively analyze and communicate statistical patterns in underlying business data for strategic management decision making.
DSS 690 Management Issues in Business Intelligence (3 credits)
A critical success factor in Business Intelligence is the ability to communicate one’s analyses and recommendations to decision-makers. In this capstone course, students are directed to prepare a thesis document that serves as a model for doing this effectively. Issues examined include writing an effective thesis statement, making logical arguments, the constraints imposed by media richness, and the limitations of transferring explicit knowledge.
This 30 credit hour program can be finished in about two years upon successful completion of the courses above. To learn more about the online Business Intelligence & Analytics master’s degree from Saint Joseph’s University, call (866)758-7670 to speak with an admissions representative, or you can request more information.