The summer apprenticeship program has 3 objectives: A) to provide additional experiential learning opportunities for students by engaging them in active research projects; B) to support faculty research by training and supporting student research assistants; C) to develop and identify students that can serve as tutors during the academic year.[Show Full Profile]
Rosa Hayes ’13 presented her paper on yield spread during The Carroll Round, an annual international economics conference at Georgetown University, in April. The Carroll Round provides a unique forum for research and discussion among the world’s top undergraduates.[Show Full Profile]
Life after the QAC can be a scary thought, but QAC alumni are known for going on to do great things. From research analysts to consultants, many alumni attribute their success to the skills they learned while working in the QAC. This year, we are proud to announce that all four of our senior tutors have solidified their post-graduation plans.[Show Full Profile]
Take hands-on courses ranging from applied data analysis, model building, statistical consulting, computer science, individual tutorials and more.[Show Full Profile]
With 13,000 students enrolled, the new Passion Driven Statistics MOOC (massive open online course) is exploring a new educative frontier. Dr. Lisa Dierker is taking her hands-on statistics program to the web. She has created a 6-week statistics course through Coursera, teaching SAS to pupils of all ages and backgrounds. This passion-driven statistics course is setting new standards for online courses.[Show Full Profile]
After submitting findings from their summer-long research project to the American Education Research Association (AERA), Rebecca Coven '13 and Shivani Kochhar '12 were selected to present at the 2013 AERA Annual Meeting in San Francisco. AERA is a national association focused on education research, and the conference draws many of the most prominent researchers in the field of education.[Show Full Profile]
The Quantitative Analysis Center (QAC) is a collaborative effort of academic and administrative departments. It coordinates support for quantitative analysis across the curriculum, and provides an institutional framework for collaboration across departments and disciplines in the area of data analysis. Learn about and explore our core initiatives below.