MBA with a Concentration in Data Analytics

Program Overview A specialized executive degree (like yours from 2019!) that merges traditional business leadership with technical data proficiency. This program is designed for "bilingual" professionals who can speak both the language of the boardroom and the language of the data scientist.

Graduate Curriculum & Analytical Pillars

• Core Pillars: Predictive Modeling, Business Intelligence, and Big Data Strategy.

• Technical Expertise:Econometrics, Data Visualization (Tableau/Power BI), and SQL for Business.

• Strategic Integration: Using data to drive Supply Chain optimization and Consumer Behavior forecasting.

• Capstone:The Analytics Consulting Project, where students extract actionable insights from massive, unstructured datasets for a partner firm.

Admissions & Technical Requirements

• Academic Foundation: Strong quantitative background; prerequisite coursework in Statistics or Calculus.

• Standardized Testing: GMAT/GRE with a focus on the Quantitative section.

• Experience: Experience in a data-adjacent role is a significant advantage.

Faculty Spotlight

• Lead Analyst:Dr. W. Edwards Deming (Professor of Statistical Process Control).

• Expertise:The PDSA Cycle (Plan-Do-Study-Act) and Total Quality Management (TQM).

• Research Impact: Revolutionized post-war global manufacturing through the application of statistical methods to management.

• Student Impact: Teaches students how to "In God we trust; all others must bring data," focusing on the elimination of variance and the mastery of predictive analytics.

Career & Data Outcomes

• Primary Paths:Chief Data Officer (CDO), Business Analytics Manager, Supply Chain Strategist.

• Sector Growth: High-demand roles in Fintech, E-commerce, and Tech-Consulting.

International Graduate Requirements

• Credentialing: Course-by-course transcript evaluation (WES or equivalent) to verify US Bachelor's equivalency.

• Language: Mandatory proof of English proficiency: TOEFL (Minimum 90) or IELTS (Minimum 7.0).