Finance, AI and Analytics for Management
About This Course
The “Finance, AI and Analytics for Management” course is part of the larger Digital Transformation and Leadership Programme organised by Nanyang Business School, Nanyang Technological University. This unique innovation, management and leadership programme consists of 3 modules of 4 days each:
• Innovation Module - Innovation and Digital Transformation for Business
• Business Module - Finance, AI and Analytics for Management
• People Module - Transformational Leadership amid Disruption
The Digital Transformation and Leadership Programme aims to equip experienced professionals from science, technology, engineering and mathematics (STEM) sector as well as other sectors with essential skills in innovation, strategy and digital transformation along with management, leadership and communication competencies so that they are better prepared to lead teams to achieve organisational success in the digital age. This programme helps professionals transition from domain knowledge experts to business and people managers as they advance in their careers in the digital economy.
What You'll Learn
Participants will learn to harness the power of artificial intelligence (AI), including Generative AI and data analytics to improve and transform business operations and business strategies across functions and industries. The key is to convert data into actionable insights to support management decision-making and identify trends and opportunities.
Course objectives / Learning Outcomes
• Learn to interpret key financial statements.
• Perform financial statement analysis to understand the profitability, liquidity, working capital efficiency and solvency risk of a company.
• Evaluate capital budgeting and investment decisions.
• Understand what AI, Generative AI and data analytics entails and the value proposition to business.
• Understand the possibilities and applications of Generative AI , AI and machine learning and their applications in business
• Use predictive models to make automated data-driven decisions.
Entry Requirements
A degree/diploma from any discipline with 5 or more years of work experience