MSA Curriculum

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 7-year track record in producing superior student outcomes.


SUMMER SEMESTER


AA 500 – 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
AA 501 : 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


AA 502 : 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
AA 504 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


AA 503 : 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
AA 505 Analytics Practicum II
  • Data Security
  • Project Management
  • Data Visualization
  • Teamwork Skills
  • Visual Communication of Data
  • Presentation Skills
  • Technical Writing

Master of Science in Analytics

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