Two MS Data Science students, Chaytanya Kumar (President/Founder of AU's American Statistical Association student club, ASA) and Dhanush Kikkisetti (ASA member), were awarded AU funding to cover a significant portion of attending the annual Symposium on Data Science and Statistics (SDSS) in St. Louis, Missouri, in May. SDSS provides a unique platform for data scientists, computer scientists, and statisticians to exchange ideas, while faculty and industry professionals can network and share insights. Chaytanya and Dhanush encourage all STEM students to seek out conferences like this to attend and gain valuable experiences and insights into the current state of their respective fields.
Academic Rigor with a Degree of Flexibility
The Master of Science in Statistics offers rigorous training in statistics while offering you the flexibility to select the program that suits your goals and interests. The 21-credit core will provide a solid statistical foundation in regression, generalized linear models, statistical software, statistical machine learning, and mathematical statistics. You will then pursue either a 9-credit thesis option focusing on research or a 12-credit non-thesis option with additional survey sampling and consulting coursework. Choose the program that fits your academic and professional aspirations.