Join the Academic Accelerator for a Bachelor of Science in Statistics at American University. Gain essential skills and support for international students. Apply now!
Program Description The Academic Accelerator Program (AAP) may be completed in as few as two semesters and is designed specifically for students who are ready to succeed in immersive English-speaking classrooms. The AAP also gives you the benefit of English-language and student support that will help you thrive. The program curriculum offers a balance of university-wide and AAP-exclusive courses, with English-language course supplements that will equip you with the practical, subject-specific vocabulary and skills that you need to excel in your coursework. 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 you elective courses 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.
