The major in Statistics is intended to equip students with the fundamental concepts, ideas and methodologies of Statistics, as well as quantitative thinking and analysis skills can be employed in practice in a flexible way.
In addition to the core theory of Probability and Statistics, areas of emphasis for practical statistical analysis include a variety of computational techniques, methods of visualizing and exploring data, methods of seeking and establishing structure and trends in data, and a mode of questioning and reasoning that quantifies uncertainty.
The curriculum for the major is a synthesis of theory, methods, and applications. It contains a set of required and elective courses covering the fundamental concepts, theory, and methods in Statistics and Probability as well as their applied aspects. Systematic development of Probability and statistical inference involves rigorous mathematical treatment, and working with data requires at least basic computing skills. Therefore, the prerequisites consist of mathematical preparation, and a course in computing is required in the major.