Department of Business Information & Analytics

• Business CORE class restructure
• Undergraduate Business Analytics
Major/Minor
• MS Business Analytics

• Statistics & Operations Technology
• Major/Minor: Statistics
• Information Technology & Electronic
Commerce
• Major/Minor: Business Information Technology

• STAT 1300 – Statistics I
(through CI)
• STAT 1400 – Statistics II
(through M. Reg)
• STAT 2800 – Survey of Operations Mgmt -
Basic mathematical modeling of business decisions, project planning, quality, supply chains, forecasting, location analysis and spreadsheet modeling
• INFO 2800 –
Leveraging IT for competitive advantage, Technical trends, Software trends, IS-related ethical issues (privacy, security, green IS), Collaboration systems

• Analytics I: Data Management and Analysis
• Databases & ethics, privacy, and security issues
• Descriptive & visual summaries
• Survey analysis
• Excel Certification
• Analytics II: Business Statistics and Analysis
• Traditional business statistics (Prob. to Simp. Reg.)
• Word & Powerpoint Certification
• Analytics III: Business Modeling and Analysis
• Multiple regression
• Time series forecasting
• Optimization
• Simulation
• Communicate results, data visualization, reporting, and presentation techniques.

AUTOMATED BUSINESS PROCESSES
Programming Style and Logic, Basic Programming Structures (VBA&VB)
FOUNDATIONS OF INFORMATION MANAGEMENT
Database fundamentals, Data modeling and normalization, Database creation and SQL
ENTERPRISE INFORMATION MANAGEMENT
Enterprise database design and modeling, Advanced queries, Database triggers, functions, and procedures, Windows application development
DATA WAREHOUSING AND DATA MINING
Data warehouse components and construction, Extraction, transforming, and loading (ETL) and data cleansing, Predictive analytics and Descriptive analytics

OPTIMIZATION MODELING
Spreadsheet Model Design, Optimization and Linear Programming, Real
World Problem Solving, Technical Writing and Project Documentation
BUSINESS FORECASTING AND VISUALIZATION
Descriptive analytics: Data visualization, Dashboards/scorecards, Time
Series Analysis, Regression and Survival Analysis
ADVANCED ANALYTICS
Text Mining, Geospatial Data Analytics, Financial and Risk Analytics,
Marketing and Web Analytics
PROJECT MANAGEMENT AND SIMULATION
Plan projects with flexibility in scope, timeframe, and resources, Critical
Chain Approach, Probability distributions versus point estimates, Monte
Carlo Simulation Modeling

CAPSTONE/SENIOR PROJECT
Partner Company project
Written and oral presentation
PICK TWO ELECTIVES
Health Informatics
Applied Probability: Gambling
Utility Analytics
Statistical Computing
Computer Simulation-Discrete Event

• Minors
• Business Information Technology
• Analytics  will really be pushing to other majors
• Statistics

THE ESSENCE OF ENTERPRISE
Leadership development, team building, around a global-world view examining the organization and personnel to build success.
ETHICS FOR THE 21ST CENTURY PROFESSIONAL
Ongoing reflection and dialog about responsibilities and leaders and managers.
BUSINESS INTELLIGENCE
Intro to data, data warehousing, data marts, advanced analytic techniques, decision making and organizational dynamics and leadership
BUSINESS DATABASES
Database design, SQL and SQL Server

BUSINESS STATISTICS
Statistical inference, regression, ANOVA, categorical data, goodness of fit
CAPSTONE PLANNING
“Consulting” overview, see capstone proposals and pick project
DATA WAREHOUSING
Requirements, realities, and architecture; building and populating data bases, developing BI applications, Powerpivot, SW/BI system, deploy and manage
PROJECT MANAGEMENT
Budgeting, uncertainty, PERT/CPM, risk; simulation using Crystal
Ball, Optimization (Excel Solver), and Simulation (in Excel)

PREDICTIVE ANALYTICS
Multiple regression/GLM, Logistic regression, CART, kNN classification, time series, text mining
BUSINESS METRICS
ANOVA, MANOVA, ANCOVA, cluster analysis, association rules,
PCA/FA, survey analysis, SEM, HLM, dashboards/scorecards, data visualization
DECISION PROCESSES
Decisions (framing, trees, matrix, payback), simulation & sensitivyt analysis, dashboards part 2
CAPSTONE
ELECTIVES - 3 courses

Kellie.Keeling@du.edu