This paper seeks to introduce a novel course design method in academic literature. It uses advanced experimental designs to capture student preferences. It also makes a distinction between controllable and uncontrollable design factors and seeks to minimize the negative impact of uncontrollable design factors, ensuring a successful course introduction. We propose and test a design method that combines Taguchi experimental designs with discrete choice estimation where choice probabilities are used as input data for Taguchi's inner and outer arrays. Design efficiency is measured by calculating signal to noise (S/N) ratio, which accounts for both mean and variance of choice probabilities. Using the S/N ratio, designers were able to choose the most robust design. Test results show grading and attendance policies and experiential learning as the three most factors in students' selection of an undergraduate elective course at a business school.