Curriculum

The Master of Science in Analytics degree is offered by the Mays Business School. A student seeking the 36 semester credit hours Master of Science in Analytics degree must fulfill the requirements listed below. One statistics course completed with a C or better is the prerequisite for the degree. Examples of acceptable courses at Texas A&M University include STAT 301, STAT 302 or STAT 303 or INFO 303 or STAT 651 or equivalent.

Beginning fall 2019, we are tweaking our curriculum slightly by adding classes and tools to our program. An updated version of the five semesters is below:

For a full course description, please click here

*To keep up with industry needs, classes are subject to change/update
** In the past, the program has offered
  • Financial Modeling
  • Fundamentals of Business Programming (Python)
Semester 1 Data Prep: Skills Acquired 
Regression Analysis

Database Systems

Fundamental team building
  1. Learn logistic regression
  2. Learn SQL and Python
  3. Fundamentals of team building
Semester 2 Data Exploration: Skills Acquired
Data Management/Visualization

Marketing engineering

The exceptional presenter
  1. Price elasticity
  2. Fundamentals of visualization
  3. Interpreting data
Semester 3 Transform Data and Select model: Skills Acquired
Applied Analytics Using SAS Enterprise Miner

R Programming/Tableau

The story Teller
  1. Advanced machine learning
  2. R Programming and Tableau
  3. Tell a story with data
Semester 4 Build/Validate Model: Skills Acquired
Times series

Corporate strategy

Transformational Leader
  1. Stationarity vs Trend and/or seasonality
  2. Effective negotiation skills
  3. Transforming organizations with analytics
Semester 5 Deploy Models: Skills Acquired
Deploying Models/Optimization

Elective

Making an impact
  1. Deploy predictive models
  2. Establishing an analytics culture