Learning Outcomes:

• Analyze and interpret income statements, balance sheets, and cash flow statements to understand a company's financial performance.

• Apply metrics such as Return on Invested Capital (ROIC) and Free Cash Flow (FCF) to assess financial health and make informed business decisions.

• Examine different types of financial risks and develop strategies to mitigate them, enhancing the stability and profitability of your organization.

Learning Outcomes:

• Comprehend and critique global business including trade theories, globalization, political and economic systems, ethics, and international trade law.

• Apply models of national culture to international marketing and human resource management.

• Understand methods of organizing international logistics and supply chains and explain foreign currency exchange and its risks.

• Analyze and evaluate the many modes and methods that businesses can participate in international markets.

Learning Outcomes:

• Analyze and interpret income statements, balance sheets, and key financial ratios to evaluate an organization’s financial performance and stability.
  
  

• Apply metrics such as Return on Invested Capital (ROIC), Net Present Value (NPV), and EBITDA to assess investment opportunities and operational efficiency.
  
  

• Develop strategic business cases by clearly defining problems, quantifying impact, and aligning proposals with organizational goals.
  
  

• Identify and mitigate financial risks through scenario planning, budgeting, and liquidity analysis to support long-term decision-making.

Learning Outcomes:

• Evaluate the role of data analytics in sports law and management, including its application in compliance, contract evaluation, and operational decision-making.
  
  

• Interpret and apply legal and regulatory frameworks that govern sports organizations, with a focus on ethical and risk-based decision-making.
  
  

• Analyze and manage operational workflows through data-informed strategies to improve organizational efficiency and governance.
  
  

• Develop and assess team management structures using data to optimize leadership, communication, and performance accountability.

Learning Outcomes:

• Develop a comprehensive understanding of how data analytics complements traditional scouting methods to enhance player identification, evaluation, and recruitment strategy within professional football environments.
  
  

• Apply key performance metrics and tactical data to assess player suitability, identify undervalued talent, and build balanced squads aligned with a club’s sporting philosophy and long-term goals.
  
  

• Design and implement data-driven scouting workflows that reduce cognitive bias, streamline decision-making processes, and improve the overall effectiveness of talent acquisition operations.

Learning Outcomes:

• Develop a comprehensive understanding of Agile project management principles, including iterative planning, continuous delivery, and adaptive leadership in dynamic team environments.
  
  

• Apply Agile frameworks such as Scrum and Kanban to structure workflows, manage team responsibilities, and optimize task completion through transparent communication and work visualization.
  
  

• Evaluate and implement techniques for managing scope, stakeholder engagement, and risk through backlog prioritization, sprint planning, and incremental feedback cycles.
  
  

• Design Agile practices that foster team autonomy, improve cross-functional collaboration, and drive continuous improvement through retrospectives and real-time performance metrics.

Learning Outcomes:

• Develop a foundational understanding of the role and value of technology in modern sport, integrating both qualitative and quantitative approaches to enhance performance, training, and decision-making processes.
  
  

• Analyze and evaluate technological tools and systems using current scientific evidence to inform strategic choices in sports environments, from individual athlete development to team-wide applications.
  
  

• Design and structure training micro-cycles that align with the contextual demands of contemporary sport, incorporating data-driven insights and technological applications to optimize athlete readiness and team performance.
  
  

• Apply technological solutions to improve organizational operations and decision-making within sports institutions, ensuring a comprehensive and practical approach to innovation in real-world athletic settings.