A practitioner-oriented introduction to conjoint and discrete choice analysis. Topics includes self-explicated approaches, full profile ratings/rankings conjoint, hybrid methods, choice- based conjoint, MaxDiff, latent class and hierarchical Bayes methodologies. Students receive hands-on real-world experience applying the different methods using relevant software. Applications include pricing, optimization, segmentation, and new product development.