GRADUATE AND EXECUTIVE CERTIFICATE PROGRAMS

Business Intelligence Graduate Certificate Program

Program Overview

1. Statistical Modeling I
   
   
   • Estimation
   • Confidence Intervals and their use
   • Hypothesis testing
     
     
2. Statistical Modeling III
   
   
   • Data visualization
   • Setting up models
   • Correlations and analysis of variance
   • Regression models
   • Forecasting models
     
     
3. Decision Modeling I
   
   
   • Decision Theory
   • Decision Trees
   • Bayesian Probability
     
4. Decision Modeling II
   
   
   • Linear Programming
   • Goal Programming
   • Queuing models and logistics modeling
     
     
5. Decision Modeling III
   
   
   • Process Analysis
     
     
6. Revenue Management

Module 2: Data and Knowledge Management

1. Data Management and DBMS
   
   
   • Creating and manipulating databases
   • Working with databases in Client-server environments
     
     
2. Integrating Databases with Spreadsheet Modeling
   
   
3. Data Warehousing/OLAP
   
   
   • Why data warehouses?
   • Working with data warehouses
   • OLAP systems
     
     
4. Knowledge Management
   
   
   • Benefits of knowledge management
   • Approaches to knowledge management
   • Tools for knowledge management
     
     

Module 3: Leveraging Organizational Knowledge

1. Data Mining I

   • Types of data mining models
   • Setting up data mining projects
   • Data preparation
     
     
2. Data Mining II
   
   
   • Clustering
   • Neural Networks
   • Decision Trees for classification
     
     
3. Data Mining III
   
   
   • Rule-based systems
   • Association Rules
   • Web data mining
     
     
4. Customer Relationship Management I
   
   
   • Overview of CRM/PRM systems
     
     
5. Customer Relationship Management II
   
   
   • Analyzing market segments