Program Learning Objectives Have good working knowledge of the most commonly used statistical methods, including statistical modeling and omnipresent role of variability, efficient design of studies and construction of effective sampling plans, exploratory data analysis, and formal inference process. Have background in probability, statistical theory, and mathematics, including especially calculus, linear algebra and symbolic and abstract thinking. Be able to synthesize and apply knowledge of common inferential methods, understanding the limitations of procedures and appropriate conclusions. Communicate effectively (written and oral) with skills in collaboration (within and between disciplines) and teamwork, and in organizing and managing projects. Have a good mastery of several standard statistical software packages and facility with data management strategies. Have a focused concentration in an area of application outside the discipline of statistics.