Specialized Master's Programs

Course Descriptions

OPENING MODULE

Introduction to Business Analytics

  • Business and technology trends driving interest in analytics and big data
  • Understanding the role of analytics professionals in business organizations
  • Data, analytics, and business problem framing
MODULE 1

Data Management Tools & Techniques

  • Relational database concepts, entity-relationship diagrams, metadata, & business rules
  • Query formulation using structured query language (SQL)
  • Data cleaning and transformation skills
  • Unstructured data and Hadoop

Data Exploration & Visualization

  • Building core skills for visual analysis
  • Visualization techniques and tools
  • Promising trends in visualization

Statistics for Managerial Decision Making 1

  • Probability distributions
  • Inference and estimation from samples
  • Correlation and regression
  • Categorical data analysis 
MODULE 2

Business Decision Modeling

  • Decision analysis models and the value of information
  • Using data to assess uncertainty
  • Monte Carlo simulation models
  • Introduction to optimization models

Data Mining Tools & Techniques 1

  • Overview of big data challenges and the data mining process
  • Dimension reduction and principal component analysis
  • Association rules and cluster analysis
  • Evaluation, classification, and predictive performance

Statistics for Managerial Decision Making 2

  • Advanced regression analysis and general linear models
  • Methods for categorical and limited dependent variables
  • Models for hierarchically structured and longitudinal data
  • Planning and designing studies and surveys
INTENSIVE MODULE

Integrated Analytics Practices

  • Analytics problem structuring and problem framing
  • Developing a statement of work and project plan
  • Integrating data management, analysis, and modeling skills
MODULE 3

Data Mining Tools & Techniques 2

  • Unsupervised machine learning
  • Neural nets and advanced machine learning algorithms
  • Emerging issues and methods

Ethics and Big Data Analytics

  • Elements of big data ethics: Identity, privacy, ownership, and reputation
  • Overview of current practices, issues, and concerns

Financial Analytics for Business Decision Modeling

  • Evaluating multi-period performance & time value of money
  • Estimating and understanding costs
  • Risk management tools and concepts
  • Portfolio decision analysis tools and concepts

Marketing and Customer Analytics

  • Estimating return on marketing investments
  • Pricing and new product introduction decisions
  • Customer Lifetime Value (CLV) analysis
  • Optimal level of advertising and advertising allocation analysis
MODULE 4

Emerging Issues in Analytics and Big Data

  • Building organizational analytics maturity
  • Emerging technology trends and directions
  • Practical challenges in implementing analytics

Operations Analytics & Process Improvement

  • Quality management and statistical quality control
  • Operational process improvement concepts
  • DMAIC, Six Sigma, and Lean Six Sigma

Predictive Analytics and Forecasting Models

  • Forecasting with regression
  • Time series data methods and issues
  • Other techniques and approaches
  • Evaluating and implementing forecasting models

Social Media Analytics

  • Current social media landscape and strategies
  • Social media tools
  • Social media governance
CAPSTONE MODULE

Analytics Capstone Project

  • Intensive integrative analysis of problems and data provided by an industry partner
  • Effective communication of analytics results
  • Understanding analytics solution deployment and lifecycle issues

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