Pre-MBA Quantitative Skills: Math, Finance, and Data Foundations

Heading to business school but worried about the quantitative demands of your upcoming classes? You do not need a background in STEM or finance to excel in your MBA program if you build the right foundational skills first. This comprehensive text-based course is designed to bridge the gap between your current skill level and the rigorous quantitative expectations of modern business courses. By studying core mathematical concepts, fundamental accounting principles, financial formulas, and modern data analysis techniques, you will build the analytical confidence needed to contribute actively in lectures and master complex business case studies. What you'll learn: Understand foundational accounting principles, financial statements, and double-entry concepts; Apply key mathematical formulas for time value of money, interest rates, and present value calculations; Analyze business data using modern spreadsheet techniques, statistical distributions, and probability basics; Interpret corporate financial health by reading balance sheets, income statements, and cash flow reports; Evaluate business decisions using quantitative frameworks, sensitivity analysis, and basic forecasting models; Practice translating raw operational data into structured insights for strategic decision-making. The course begins with a thorough introduction to essential terminology, mathematical notation, and accounting basics before moving into hands-on financial calculation methods and modern data analysis workflows. You will progress through clear, written explanations and step-by-step mathematical breakdowns that mirror real-world business school scenarios. This course is designed specifically for aspiring MBA and business school candidates who want to build or refresh their quantitative skills before classes start, with no advanced mathematical or financial background required. Prepare yourself for academic success and gain the quantitative confidence you need for your business education.