Executive Development Programme in M&A Strategy Development: Future-Ready
-- ViewingNowThe Executive Development Programme in M&A Strategy Development: Future-Ready certificate course is a comprehensive programme designed to equip learners with essential skills in Mergers and Acquisitions (M&A) strategy development. This course is crucial in today's rapidly changing business environment, where companies need to constantly adapt and grow through strategic M&A activities.
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โข Unit 1: Introduction to M&A Strategy Development: This unit will cover the basics of M&A strategy development and its importance in modern business. โข Unit 2: Identifying Targets: This unit will focus on the process of identifying potential acquisition targets through various techniques and tools. โข Unit 3: Due Diligence: This unit will cover the due diligence process in M&A, including financial, legal, and operational due diligence. โข Unit 4: Valuation and Negotiation: This unit will discuss various methods for valuing a target company and negotiating the deal. โข Unit 5: Integration Strategy: This unit will focus on developing an integration strategy, including cultural integration, synergy realization, and organizational design. โข Unit 6: Post-Merger Management: This unit will cover the management of the merged entity, including financial reporting, governance, and risk management. โข Unit 7: Future-Proofing M&A Strategy: This unit will explore how to future-proof M&A strategy development, including the impact of technology, sustainability, and geopolitical factors. โข Unit 8: Case Studies in M&A Strategy Development: This unit will examine real-world examples of successful and unsuccessful M&A strategy development. โข Unit 9: Ethics in M&A Strategy Development: This unit will cover the ethical considerations in M&A strategy development, including conflicts of interest, disclosure, and stakeholder management. โข Unit 10: M&A Trends and Innovations: This unit will explore emerging trends and innovations in M&A, including digital transformation, artificial intelligence, and data analytics.
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