This MS program is designed to lead the student to the following learning outcomes: 1. Problem solving skills: Students are expected to learn the fundamental tools of statistical modeling and implementation. Skills for identifying and solving statistical problems arising in various interdisciplinary areas is an important expected learning outcome associated with this degree. 2. Ability to work individually or in groups: Statistical modeling can be pursued at an individual level or as part of a group effort with the group comprised of experts in various allied fields. The students are expected to develop such skills so that modeling and analysis gets done in a timely and efficient manner. 3. Communication skills: Good communication skills are expected so that students can present in an effective manner the interpretation, as well as implications of the results obtained from a statistical model and its analysis.