MA in Data Analysis and Applied Statistics in Alexandria United States | Virginia Polytechnic Institute and State University

The DAAS program delivers a diverse range of practical statistical techniques to learners, focusing less on mathematically intensive statistical theory. The M.A. DAAS core curriculum covers essential statistical foundations. Participants can then select from specialized statistical electives. This structure ensures comprehensive exposure to modern applied statistical approaches while demonstrating their real-world applications across disciplines. At Virginia Tech's Blacksburg location, the M.A. DAAS operates as a dual degree option. Existing Virginia Tech graduate students in other fields who wish to enhance their skills with the M.A. DAAS qualification may apply. The program's practical statistics focus enables students to conduct more advanced statistical research, enhancing their thesis/dissertation quality and increasing opportunities for publication in top-tier journals.
The 30-credit Master of Arts in Data Analysis and Applied Statistics combines statistical and analytical coursework from multiple departments. Students complete an 18-credit core covering applied statistics, regression analysis, experimental design, fundamental statistical theory, professional communication skills, and a mandatory capstone project with examination. The remaining 12 credits come from elective offerings in Statistics or other departments.