30 Credits, 40 Weeks
Becoming an AI-Powered Leader: Your MBA Program
The Master of Business Administration (MBA) program is designed to prepare students globally for top leadership jobs as "AI-Enabled Leaders." We focus on teaching you the AI skills that every modern company is looking for, connecting them to essential business topics.
Through our integrated curriculum, you will learn how to use Artificial Intelligence (AI) in all core business areas, including:
- Planning and managing investment (Financial Management)
- Designing the future (Entrepreneurism and Innovation)
- Reaching customers (Marketing)
- Meeting customer demand (Supply Chain Management)
- Leading in international markets (Global Business).
We teach you to use AI frameworks and prompt engineering—ways to ask the right questions and to organize data and tools—to solve complex, real-world problems. This training builds your confidence so you can lead companies that rely on data and face fast-changing competition.
This program is about more than just technology. It helps you grow personally and professionally by improving your ability to communicate clearly, improve your business English, work well with teams, lead ethically, and make smart decisions based on data.
You'll participate in real-world activities that act like complex business simulations, helping you think like an executive and understand how different departments work together. By giving you a set of powerful AI tools and frameworks, the program prepares you to adapt quickly to global changes and new technology, allowing you to create lasting value for any company or industry. You are building your own set of tools using the four foremost AI platforms, Gemini, Perplexity, Claude and Chat GPT, as well as improving your English business language with OpenAI funded Speak. Throughout the 10 months of the MBA program, you are training your own tools with best-in-class education from world class faculty. You are ready to lead in the AI world of today.
“You won’t lose your job to AI—you’ll ‘lose your job to somebody who uses AI”
-Jensen Huang, Nvidia CEO, CNBC May 2025
What You'll Learn and What You'll Accomplish as an AI-Enabled Leader
After you complete the 10-month AI-focused MBA program, you will have the leadership skills to:
- Analyze Data: Look at information about the economy, money, and markets to help companies make smart choices that create value and profit.
- Manage Money: Use skills in financial planning and accounting to figure out how to make an organization run more effectively and earn more money.
- Penetrate New Markets: Use market research to create and launch new strategic ideas and bring new products or services to customers.
- Lead Global Teams: Guide groups that include people from different departments and cultures. You'll master communication, teamwork, and cultural fluency needed for global business.
- Innovate and Start Ideas: Learn to think like an entrepreneur, quickly finding solutions and driving innovation to create new business opportunities.
- Design Customer-Focused Plans: Quickly create plans that focus on what the customer needs, using smart planning methods and data analysis.
- Use AI for Decisions: Figure out risks and make informed business choices using AI tools, predictive modeling, and planning for different future scenarios.
- Lead with Integrity: Show strong leadership and make ethical decisions that follow rules for corporate governance and responsibility to all stakeholders (customers, employees, and the community).
Following the completion of the program, students will be able to:
- Analyze economic, financial, and market data to support value-creation decision-making within dynamic business environments.
- Apply principles of financial management, accounting, and performance analysis to improve organizational effectiveness and profitability.
- Evaluate and implement strategic initiatives using market analysis, innovation management, and go-to-market strategies.
- Lead cross-functional teams with an emphasis on communication, collaboration, and cultural fluency in global and multicultural contexts.
- Design and execute agile, customer-centric plans by leveraging discovery-driven planning and data analytics.
- Assess risk and make informed business decisions using AI tools, predictive modeling, and scenario planning.
- Demonstrate leadership, integrity, and ethical reasoning aligned with principles of corporate governance and stakeholder responsibility.
This MBA program prepares graduates for mid- to senior-level management roles in all types of organizations, including large companies, start-ups, and global organizations. The Core MBA courses underpin all leadership paths with their focus on applied AI, strategic management, and financial/operational analytics. The Concentrations give additional depth in specialized skills such as Financial Management, Marketing, Supply Chain and Operations, as well as a unique “Strategic Innovation” concentration to prepare you as a Business Strategist or to work within entrepreneurial organizations.
This mapped structure connects each job’s requirements to the knowledge and competencies targeted in the MBA program, ensuring relevant preparation for both core and specialized business leadership positions such as:
- Business Strategist
- Financial Planning and Analysis Manager
- Marketing and Brand Manager
- Director of Operations
- Supply Chain Manager
- Entrepreneurship
To successfully graduate and earn your Master's degree, you must complete a minimum of 30 credits and maintain an average grade (GPA) of 3.0 or better throughout the program.
Core 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.
Credits 3
None.
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.
Credits 3
None.
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.
Credits 3
None.
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.
Credits 3
None.
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.
Credits 3
None.
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.
Credits 3
None.
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.
Credits 3
None.
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.
Credits 3
Completion of all core MBA required courses and at least one concentration track.
Strategic Innovation Concentration
This course introduces a strategic approach for navigating uncertainty through discovery-driven planning. Emphasizing hypothesis-driven decision-making over traditional forecasting, students learn to map key assumptions, test market potential, and align strategy with real customer value. Students leverage AI tools to rapidly generate and test initial hypotheses and strategic assumptions for market validation. Core topics include strategic assumption mapping, iterative learning for market validation, and agile, customer-centric planning.
Credits 3
None.
This course explores the principles and practices of value-based pricing as a strategic lever for financial performance. Students learn how to quantify and capture customer value, communicate pricing decisions effectively, and implement pricing strategies that drive profitability. Emphasis is placed on using AI and machine learning frameworks to model customer perception and demand elasticities, enabling the creation of dynamic pricing strategies that support ROI and competitive positioning.
Credits 3
None.
Supply Chain Concentration
This course examines how organizations develop and execute go-to-market (GTM) strategies and channel models that are aligned with customer needs and market dynamics. Students explore market-driven strategic analysis, design value-based GTM approaches, and implement organizational structures. Emphasis is placed on using predictive AI models to forecast channel performance and competitor reactions, ensuring agility required to adapt to evolving markets. Students gain the skills to lead GTM channel differentiations that drive growth and deliver sustained value.
Credits 3
None.
This course explores the design and management of supply chains that are responsive, efficient, and aligned with market demand. Students examine how to analyze supply chain performance through a customer-focused lens and design agile, value-driven strategies. Emphasis is placed on using AI optimization tools for demand forecasting, strategic sourcing, and continuous performance monitoring (KPIs). Students gain practical skills to build resilient, AI-optimized supply chains that deliver continuous value in a competitive marketplace.
Credits 3
None.
Global Leadership Concentration
This course explores the cultivation of an entrepreneurial mindset as a strategic leadership competency essential for navigating uncertainty and driving innovation. Students learn to reframe challenges as opportunities and develop adaptive strategies for sustainable growth. Emphasis is placed on using AI tools for rapid opportunity identification, white-space analysis, and resource optimization. Through case studies and practical applications, students enhance their ability to lead organizations in continuously creating value in unpredictable environments.
Credits 3
None.
This course examines how entrepreneurial leaders thrive in an increasingly interconnected and uncertain global marketplace. Students learn to lead with agility across cultures, execute strategically under pressure, and mobilize diverse talent. Emphasis is placed on cultivating global opportunity leadership—recognizing emerging trends and aligning cross-border teams. Students use AI frameworks for synthesizing cross-cultural data to inform strategic decision-making and create inclusive environments that foster creativity and resilience on a global scale.
Credits 3
None.
Entrepreneurism Concentration
This course explores the cultivation of an entrepreneurial mindset as a strategic leadership competency essential for navigating uncertainty and driving innovation. Students learn to reframe challenges as opportunities and develop adaptive strategies for sustainable growth. Emphasis is placed on using AI tools for rapid opportunity identification, white-space analysis, and resource optimization. Through case studies and practical applications, students enhance their ability to lead organizations in continuously creating value in unpredictable environments.
Credits 3
None.
This course introduces a strategic approach for navigating uncertainty through discovery-driven planning. Emphasizing hypothesis-driven decision-making over traditional forecasting, students learn to map key assumptions, test market potential, and align strategy with real customer value. Students leverage AI tools to rapidly generate and test initial hypotheses and strategic assumptions for market validation. Core topics include strategic assumption mapping, iterative learning for market validation, and agile, customer-centric planning.
Credits 3
None.
Marketing Concentration
This course examines how organizations develop and execute go-to-market (GTM) strategies and channel models that are aligned with customer needs and market dynamics. Students explore market-driven strategic analysis, design value-based GTM approaches, and implement organizational structures. Emphasis is placed on using predictive AI models to forecast channel performance and competitor reactions, ensuring agility required to adapt to evolving markets. Students gain the skills to lead GTM channel differentiations that drive growth and deliver sustained value.
Credits 3
None.
This course explores the principles and practices of value-based pricing as a strategic lever for financial performance. Students learn how to quantify and capture customer value, communicate pricing decisions effectively, and implement pricing strategies that drive profitability. Emphasis is placed on using AI and machine learning frameworks to model customer perception and demand elasticities, enabling the creation of dynamic pricing strategies that support ROI and competitive positioning.
Credits 3
None.
Financial Management Concentration
This course explores the cultivation of an entrepreneurial mindset as a strategic leadership competency essential for navigating uncertainty and driving innovation. Students learn to reframe challenges as opportunities and develop adaptive strategies for sustainable growth. Emphasis is placed on using AI tools for rapid opportunity identification, white-space analysis, and resource optimization. Through case studies and practical applications, students enhance their ability to lead organizations in continuously creating value in unpredictable environments.
Credits 3
None.
This course explores the principles and practices of value-based pricing as a strategic lever for financial performance. Students learn how to quantify and capture customer value, communicate pricing decisions effectively, and implement pricing strategies that drive profitability. Emphasis is placed on using AI and machine learning frameworks to model customer perception and demand elasticities, enabling the creation of dynamic pricing strategies that support ROI and competitive positioning.
Credits 3
None.