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  1. Admission. Quick Facts. Class Profile. Vassar’s open curriculum offers the freedom and flexibility to pursue your passions while discovering new interests. There are no general education requirements, so you can take the courses that most interest you and know your classmates have chosen them as well.

  2. Use Vassar’s MyinTuition Calculator and Net Price Calculator to estimate your financial aid. While we are need aware for international first-year applicants and transfer applicants, we meet 100% of the demonstrated financial need of all admitted students who apply for financial aid at the time of application to Vassar.

  3. Vassar College Human Resources represents excellence in human resource leadership in support of the Vassar mission. We provide quality services to attract, develop, motivate and retain a diverse workforce within a supportive work environment. We consult, communicate and collaborate with all units and departments across Vassar. We are employee-centered and responsive to the changing needs […]

  4. 20%. Private school in New York with 2,500 total undergraduate students. Suburban. Mid-Atlantic. On campus housing. Upstate Collegiate Athletic Association. vassar.edu. 124 Raymond Ave, Poughkeepsie, NY 12604. (845) 437-7000.

  5. Vassar College. Il Vassar College è un college privato e coeducativo di arti liberali. Si trova nella città di Poughkeepsie, New York, Stati Uniti. Fondato nel 1861 da Matthew Vassar, è stato il primo istituto di istruzione superiore per donne negli Stati Uniti. Nel 1969 è diventato coeducativo e ora il rapporto tra studentesse e studenti ...

  6. The Vassar Encyclopedia is an online resource for information relating to the history of the college. It presents articles of varying length and on diverse topics, written by a wide array of authors. Information about the encyclopedia is available in the Preface and in the Guide to the Encyclopedia. Please note: until January 2023, the encyclopedia […]

  7. Associate Professor of Mathematics and Statistics. Jinchen (Monika) Hu received her BS in Computing Mathematics from City University of Hong Kong and her PhD in Statistics from Duke University, North Carolina. Her research interests lie in developing Bayesian statistical methodology for applied problems that intersect with the social sciences.

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