Curriculum

MSA Curriculum

The Master of Science in Analytics (MSA) is a novel, integrated curriculum spanning three semesters over 10 months. Classes were developed specifically for the degree and are taught exclusively to students in the program. Students complete the entire curriculum as a cohort group working in teams. The curriculum has a proven track record in producing superior student outcomes.


SUMMER SEMESTER


AA500 – Analytics Tools and Techniques

  • Orientation and Introduction
  • Data Querying and Reporting
  • Data Access and Management
  • Data Cleaning
  • Statistical Programming Tools
  • Data Mining Overview
  • Geospatial Data Analytics
  • Relational Databases and Data Warehouses
  • Statistical Analysis of Databases
  • Linear Algebra Overview
  • Data Visualization
  • Presentation Skills
  • Teamwork Skills
  • Problem Solving Skills

AA501 – Analytics Foundations

  • Exploratory Data Analysis
  • Linear Regression
  • Multiple Linear Regression
  • Regression Diagnostics
  • Logistic Regression
  • ANOVA
  • Analysis of Tables
  • Statistics Assessments
  • Written and Computer Application

FALL SEMESTER


AA502 – Analytics Methods and Applications I

  • Linear Algebra
  • Data Mining
  • Machine Learning
  • Text Mining
  • Logistic Regression
  • Simulation and Finance
  • Optimization
  • Time Series and Forecasting
  • Advanced Programming
  • Customer Analytics

AA504 – Analytics Practicum I

  • Data Privacy and Security
  • Legal Issues
  • Data Visualization
  • Geospatial Data
  • Project Management
  • Teamwork and Conflict Resolution
  • Leadership/Followership
  • Consulting Skills
  • Problem-Solving
  • Communication Skills
  • Technical Writing

SPRING SEMESTER


AA503 – Analytics Methods and Applications II

  • Advanced Modeling
  • Survival Analysis
  • Big Data
  • Design of Experiments
  • Risk Analytics
  • Financial Analytics
  • Web Analytics
  • Advanced Exploratory and Outlier Analysis
  • Advanced Data Mining
  • Special Topics

AA505 – Analytics Practicum II

  • Data Security
  • Project Management
  • Data Visualization
  • Teamwork Skills
  • Visual Communication of Data
  • Presentation Skills
  • Technical Writing

Master of Science in AnalyticsDownload