Join the Extended Accelerator in Statistics at American University! Gain practical skills, cultural insights, and academic credits. Apply now!
Program Description The Extended Accelerator Program (EAP) may be completed in a few as three semesters and is for students seeking an immersive English-learning experience. The program gives you a firsthand, practical, and cultural understanding of the American University campus and the Washington, DC, area through its contextual curriculum. You may enter the program in the spring or fall and progress into year two of your undergraduate education with up to a full year’s worth of academic credits. Depending on your intended degree, you may choose your elective curriculum in social sciences, humanities, or the sciences. Statistics is the science of making decisions based on data. Data and decisions can come from business, law, medicine, politics, science, sociology, and every other field of study, but may be based on incomplete observations or incorrect measurements. To mitigate such uncertainties, students studying statistics build and apply quantitative tools and techniques for the collection, organization, analysis, interpretation, and presentation of data. They then utilize statistical techniques to discover and investigate patterns, build predictive models, and control variability to improve decision making. Undergraduate students majoring in Statistics (BS) have two tracks available. Those who intend to continue with graduate work in statistics or those with an interest in the theory of statistical methods should follow the sequence for mathematical statistics, which requires a strong background in mathematics. Students wishing an emphasis in the use of statistical techniques should follow the sequence for applied statistics. This track is especially appropriate as a secondary emphasis for students who have a strong interest in a field of application. Students interested in the combination of statistical, mathematical, and computational tools that arise in the large-scale collection and analysis of data in industry should consider the data science track.
