Application & Eligibility

Application & Eligibility

 

 
NOTE: The Spring 2022 Application (for Fall 2022 program entrance) is open January 1-February 15

Application Dates

Catalyst has two application cycles, one in the fall semester and one in the spring semester. 

  • The fall application opens September 1 and closes October 1, with decisions by October 15 for a spring semester start.
  • The spring application opens January 15 and closes February 15, with decisions by March 1 for a fall semester start. 

NOTE: For the Spring 2022 application cycle, the application closed on February 15, 2022. 

Eligibility Criteria

Catalyst is open to any UVA student who has completed a full academic year at a four-year institution, including incoming transfer students. First-year students may therefore apply in the spring of their first year for admittance beginning their second year.

Program Length

The program is 17 credits, with 6 of those credits likely being fulfilled by general education requirements. Although the remaining 11 Catalyst-specific credits can be completed in one academic year, for most students it will take three semesters. Up to four semesters can be taken to complete the program. First- and second-year students may apply in any cycle. Third-year students should aim for the fall application cycle to allow themselves sufficient time to complete the program, although in some cases it may be possible to complete the program in one academic year as a fourth-year. 

Prerequisites

Catalyst has only one prerequisite: a three-credit course in quantitative literacy, fulfilled by any of the College's general education QCD courses. This course must be completed prior to program entry, but may be in progress during the application itself.  

Application

Catalyst's application is designed to be short and accessible. It involves background information and three very short (75-word) answers, which we encourage you to initially type out in a word processing program before pasting into the application itself. We select cohorts based on a broad combination of factors including interests, academic and personal background, experiences, and goals.

 
 

 

 


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