This course is suitable for individuals / students willing to enhance their knowledge in financial mathematics and decision-making, as well as industry professionals seeking to equip themselves with advanced skills in business mathematics.
This course is suitable for individuals / students willing to enhance their knowledge in financial mathematics and decision-making, as well as industry professionals seeking to equip themselves with advanced skills in business mathematics.
Entry requirements include a basic understanding of mathematics and a keen interest in finance, business, or related fields. Professionals working in finance, business, insurance, or related industries are encouraged to apply.
Understanding concepts such as simple and compound interest, annuities, amortization, and the time value of money.
Analyzing random events, probability distributions, expected values, variance, decision trees, risk assessment, and predictions in project management.
Interpretation of data, descriptive and inferential statistics, hypothesis testing, regression analysis, budgeting, and cash flow projection, as well as risk analysis.
Application of mathematical models to optimize business operations using linear equations, linear inequalities, and optimization techniques.
Strategic decision-making in competitive situations, studying dominant strategies, and analyzing scenarios such as the prisoner’s dilemma and positive-sum game theory.
Utilizing powerful Excel solver to solve real-life problems including Portfolio Management, Resource Optimization, and Profit Maximization, along with performing sensitivity analysis using data tables.
Understanding business ethics, ethical frameworks, ethical dilemmas, ethical decision-making models, corporate social responsibility (CSR), ethical leadership, and considerations in data analysis and predictive analytics.
Introduction to investments, types of investments, risk and return relationship, financial markets overview, investment analysis, valuation methods, investment strategies, and identifying key performance indicators (KPIs).
Exploring current trends such as data analytics, artificial intelligence (AI) and machine learning, blockchain and cryptocurrencies, financial technology (FinTech), quantitative risk analysis, business process optimization, and emerging markets.
