Advanced Diploma in Business Management

Business Law provides a comprehensive overview of the legal environment in which businesses operate, with a dual focus on fundamental business law concepts and the application of AI in legal contexts. Students will revisit core areas of business law – including contract law, corporate law and governance, employment law, intellectual property, and compliance/regulations – to understand the legal obligations and risks managers must navigate. Alongside theory, the module introduces AI-driven legal tools and discusses how AI is transforming legal practices. Students learn how routine legal tasks like contract review, compliance monitoring, and legal research can be streamlined by AI, and they examine the legal and ethical challenges posed by emerging technologies (such as data privacy laws, AI ethics, and regulatory compliance for AI deployments).

Strategic Leadership delves into high-level leadership and strategy formulation, marrying classic leadership theory with AI-enhanced decision-making tools. Students examine what it means to be a strategic leader in modern organizations – covering leadership styles (transformational, transactional, servant leadership, etc.), vision and mission development, strategic planning models, and organizational strategy execution. Traditional strategy frameworks (such as SWOT analysis, PESTEL analysis, Porter’s Five Forces, and Balanced Scorecard) are revisited, but with equal emphasis on data-driven and AI-supported approaches to strategic decision-making. Learners will discover how leaders can leverage AI for insights – for example, using big data analytics to inform strategy, or AI simulations to test decisions – while also honing the human skills (critical thinking, ethical judgment, motivational communication) needed to guide organizations. This module prepares students to lead teams and make informed strategic decisions by combining human vision with AI’s analytical power.

Global Business and Cultural Awareness prepares students to operate in the international business arena, emphasizing how cultural differences and global trends impact business, and how AI tools enable more effective global operations. Learners will study theories of international business strategy (such as globalization vs. localization, entry modes into foreign markets, global supply chain management) and frameworks for understanding culture (e.g. Hofstede’s cultural dimensions, high-context vs low-context cultures). The module highlights the challenges of managing across different countries – communication barriers, cultural etiquette, legal and economic differences – and how modern managers can overcome these. Crucially, it integrates AI applications that facilitate global business, from real-time translation services to global data analytics and culturally adaptive AI systems. By combining cultural intelligence with technology, students gain the skills to lead and collaborate in a multicultural environment and to strategize for global market success.

Life Influences in Business examines the interplay between societal, personal, and ethical factors (“life influences”) and business success, highlighting how businesses can thrive by aligning with human values, well-being, and broader social responsibilities. This module uniquely integrates topics like ethics, corporate social responsibility (CSR), personal development, and the impact of external social trends on businesses – all augmented by AI applications. Students will discuss how personal values and ethics shape leadership decisions, how businesses influence and are influenced by society and the environment, and why issues like diversity, inclusion, and employee well-being are strategic business concerns. Alongside these themes, the module demonstrates how AI can be a force for good in business: supporting ethical decision-making, monitoring and improving workplace culture and wellness, and driving sustainable business practices. The goal is to produce leaders who not only drive profits but also enhance the quality of work life and uphold responsibility to the community – using advanced tools to achieve these ends.

AI-Driven Business Innovations is a capstone academic module that brings together innovation management theory with cutting-edge AI applications, showing students how AI can be a catalyst for new business models, products, and operational efficiencies. On the theory side, students will learn how businesses innovate and adapt – covering topics like the innovation lifecycle, disruptive innovation (e.g. how new technologies can upend industries), design thinking for product development, and the challenges of managing innovation within organizations. On the practical side, the module surveys state-of-the-art AI technologies and their business applications: from machine learning and data analytics to robotics, generative AI, and beyond. Students examine case studies of companies transforming their operations with AI (in marketing, finance, supply chain, etc.) and get hands-on exposure to AI tools. By blending innovation theory with real AI use cases, this module equips learners to lead digital transformation and innovation initiatives. They will understand not just how to implement AI solutions, but how to align them with business strategy and manage change (drawing on Module 1) to ensure these innovations deliver value. This forward-looking module reinforces the reality that AI is now central to business innovation – with over 80% of businesses embracing AI as a core technology? 

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 – and prepares students for the continuously evolving future of work. 

The practicum is a culminating component of the program where students apply what they’ve learned in a comprehensive project, emphasizing AI integration in a real or simulated business context. This capstone project is largely self-driven (with faculty mentorship) and spans 120 hours of the total program hours. It allows students to synthesize knowledge from all six modules, demonstrating both their business acumen and ability to leverage AI tools. Students may work individually or in small teams to tackle a practical business challenge – often in collaboration with an industry partner or using case studies that mirror real-world conditions. They will be expected to identify a problem or opportunity within a business domain and develop an innovative solution that incorporates AI as a key element. The practicum emphasizes experiential learning: instead of a purely theoretical report, students produce tangible deliverables (analysis, prototypes, dashboards, or strategic plans) and often present them to a panel or the partner organization, simulating a professional consulting or management environment.