MBA Required Curriculum

Technology and Operations Management (TOM)

This course enables students to develop the skills and concepts needed to ensure the ongoing contribution of a firm's operations to its competitive position. It helps them to understand the complex processes underlying the development and manufacture of products as well as the creation and delivery of services.

Topics encompass:

• Process analysis
• Cross-functional and cross-firm integration
• Product development
• Information technology
• Technology and operations strategy

Data Science & AI for Leaders (DSAIL)

Recognizing that data-driven insights are critical for modern business decision making, this course equips managers to effectively lead analytics-powered organizations.

Students will gain:

• An understanding of foundational data science concepts and techniques that can inform business insights and decisions.
• Exposure to R statistical programming language to manipulate, analyze, and visualize data.
• Knowledge of how modern data science strategies and analytics are used across finance, marketing, operations, and other business functions to create value and solve problems.
• Ability to set up and manage data science teams, governance policies, and analytics infrastructure.
• Expertise to prioritize and sequence data science projects based on their feasibility and impact.
• Skills to critically evaluate data science methodologies, results, and recommendations.
• Fluency in the vocabulary and logic used by data scientists to drive key organizational decisions.
• Exposure to emerging technologies like generative AI and foundational concepts within ethical AI, like algorithmic transparency, fairness, privacy, and bias.

MBA Elective Curriculum