Master high-level leadership and strategy with our Strategic Leadership module. Learn transformational leadership, strategic frameworks (SWOT, PESTEL, Porter), and use AI tools like predictive analytics to drive business success.
Overview
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.
SSG Approved Training & Assessments Hours:51:00Trainer Facilitated Hours (On Campus/Virtual):32:00Self-Directed E-learning Hours:04:00Assessment Hours:15:00
Programme Objectives
Demonstrate understanding of strategic leadership concepts and distinguish between different leadership styles and their impact on organizational strategy.
Conduct strategic analysis for a business scenario (market analysis, competitive analysis, risk analysis) using both traditional frameworks and AI-powered data insights.
Utilize AI-based tools (e.g. predictive analytics, dashboards) to support strategic decision-making and planning and interpret AI-generated insights to formulate effective strategies.
Apply decision-making techniques that integrate data (analytics, AI predictions) with human judgment and ethical considerations, especially under uncertain or complex conditions.
Develop and communicate a strategic plan for a business initiative, including setting a vision, defining objectives (KPIs), and outlining execution steps, while illustrating how technology and AI will be leveraged in the process.
Reflect on one’s own leadership skills and adopt strategies (including using AI feedback or coaching tools) for continuous improvement in leading people and innovation.
Course Topics
Leadership Theories and Styles
Learning Outcome: Traits of effective leaders; transformational vs. transactional leadership; leading in innovation and change; the role of emotional intelligence in leadership.
Strategic Planning Process
Learning Outcome: Crafting vision and mission statements; long-term vs short-term strategy; environmental scanning (SWOT, PESTEL); formulating strategic objectives and aligning resources.
Decision-Making in Leadership
Learning Outcome: Rational decision models vs. intuitive judgment; biases in decision-making; AI-assisted decision support (data analytics, scenario planning models) that provide evidence-based inputs to leaders.
Data-Driven Strategy
Learning Outcome: Using business intelligence (BI) dashboards for real-time performance tracking; predictive analytics for forecasting market trends or financial outcomes; big data in strategy (customer analytics, operations data) to uncover opportunities.
AI in Strategic Leadership
Learning Outcome: How AI processes vast data to identify patterns and guide strategic decision examples of AI in action – e.g. using machine learning to forecast sales or optimize pricing, sentiment analysis of customer feedback to inform product strategy, simulation of supply chain scenarios with AI.
Implementing Strategy and Change
Learning Outcome: Linking back to change management – the leader’s role in driving strategic initiatives, managing teams through strategic pivots (with help of AI project management tools).
Ethical and Inclusive Leadership in the AI Era
Learning Outcome: Balancing AI analytics with ethical considerations, ensuring transparency in data-driven decisions, and maintaining trust and morale among employees when introducing AI changes.
