Master of Business Administration Courses

This course introduces the foundational business disciplines necessary for modern management, including economics, accounting, and financial decision-making. Students immediately begin developing skills in economic analysis, financial literacy, and using AI frameworks to support strategic business outcomes. Through applied learning and case studies, students learn to interpret financial statements, evaluate economic conditions, and make sound financial decisions while leveraging AI tools for data interpretation and preliminary analysis. 

This course explores the core principles of effective management with a focus on organizational dynamics, leadership, and team performance in the age of automation. Students examine how modern leaders build trust, inspire others, and communicate with clarity while leveraging AI frameworks to optimize team assignment and project management. Emphasis is placed on cultivating teamwork, enhancing emotional intelligence, and applying management theories to real-world scenarios. Through case studies and collaborative activities, students develop the skills necessary to lead high-performing teams and foster positive organizational cultures, understanding when to use technology to support human capital. 

This course examines the intersection of marketing strategy and operational execution as drivers of organizational performance, heavily supported by data. Students explore how effective brand building, customer engagement, and value proposition design are supported by operational excellence and strategic alignment. Emphasis is placed on using AI tools for predictive market analysis and demand forecasting to develop deep marketing insights and optimize operations. Through real-world applications and case analysis, students learn to align and manage operational efficiency to deliver on the marketing value proposition and achieve competitive advantage. 

This course provides a comprehensive foundation in corporate finance, with an emphasis on financial modeling, investment analysis, and strategic financial decision-making. Students explore the principles of value creation, risk management, and capital budgeting while developing essential skills in interpreting financial data. Students strengthen their financial literacy by applying AI tools for rapid financial forecasting, valuation, and complex scenario planning to support organizational growth and analyze investment alternatives. 

This course examines the frameworks and tools used to analyze markets, assess competitive dynamics, and lead innovation within complex business environments. Students learn to apply strategic thinking to identify opportunity, create competitive advantage, and drive long-term growth by leveraging AI tools for real-time market sensing and competitive intelligence gathering. Emphasis is placed on integrating market analysis, strategic positioning, and innovation management to support rapid, data-informed decision-making and sustainable growth. 

This course explores how artificial intelligence and business analytics are transforming organizational decision-making. Students learn to use generative AI tools to evaluate and refine empirical based strategies to improve performance in dynamic business environments. Emphasis is placed on developing AI skills in problem statement development, and curating and refining AI output to support analytical skills to interpret data, assess uncertainty, and use predictive modeling. Practical applications focus on leveraging data for innovation, efficiency, and strategic advantage. 

This course provides an in-depth exploration of the governance structures that shape U.S. business practices, with a focus on capital markets, regulatory frameworks, and ethical decision-making. Students examine how financial systems, corporate policies, and managerial behavior intersect to influence organizational accountability and transparency. Emphasis is placed on developing economic understanding and AI ethics skills to ensure responsible leadership when deploying automated systems. Students analyze case studies involving data privacy, algorithmic bias, and corporate governance compliance. 

This capstone course provides students with the opportunity to synthesize and apply advanced business knowledge across core disciplines through the development of a comprehensive, AI-supported strategic proposal. Emphasizing strategic thinking, problem solving, and global leadership, students draw on competencies developed throughout the MBA program to address a real-world business challenge. Students are guided through the proposal process using AI-enabled tools to enhance data gathering, scenario modeling, and stakeholder communication. The course culminates in a final presentation of a fully integrated strategic plan, demonstrating the student’s readiness to lead complex initiatives in dynamic business environments.