Quantitative Analysis
Earn college credit with Quantitative Analysis—a self-paced online course focused on data-driven decision making, modeling, optimization basics, and interpreting quantitative results in business contexts. Complete short lessons, quizzes, and assignments on your schedule, then finish with a proctored final exam. Ideal for business analytics requirements and transfer credit, with transcript options available.
UPI Study offers 70+ affordable online college courses Business, Computer Science, Natural Sciences, Psychology, English, Math & More. Earn transferable college credit through UPI Study for elective or primary requirements.
Over 48750 students have already transferred credits to over 1750 universities till 2026 via ACE & NCCRS Credit Accreditation.
Upon successful completion of the course, students will be able to: acquire essential knowledge and skills for strategic decision-making and risk analysis in the business field, emphasizing the use of quantitative methods; develop proficiency in key quantitative tools, including decision trees, payback analysis, and simulations, for effective managerial decision-making; gain a comprehensive understanding of the quantitative approach to decision-making, focusing on its advantages, objectives, and application under conditions of certainty, risk, and uncertainty; master business risk management through in-depth analysis and the application of risk management strategies, integrating concepts like probability distributions and Monte Carlo simulation; and prepare for data-driven, strategic decision-making, equipping students to navigate the challenges of today's dynamic business environment.
Learn more about Quantitative Analysis
Learning Outcomes
Upon successful completion of the course, students will be able to: acquire essential knowledge and skills for strategic decision-making and risk analysis in the business field, emphasizing the use of quantitative methods; develop proficiency in key quantitative tools, including decision trees, payback analysis, and simulations, for effective managerial decision-making; gain a comprehensive understanding of the quantitative approach to decision-making, focusing on its advantages, objectives, and application under conditions of certainty, risk, and uncertainty; master business risk management through in-depth analysis and the application of risk management strategies, integrating concepts like probability distributions and Monte Carlo simulation; and prepare for data-driven, strategic decision-making, equipping students to navigate the challenges of today's dynamic business environment.
Major Course Topics
Major topics include strategic decision-making and risk analysis; simulation techniques in quantitative analysis; inventory management models; waiting line models and queueing theory; decision analysis for business; project planning and management; integer linear programming; linear programming; sensitivity analysis in business; linear programming applications; and distribution and network models.