Many Library and Information Science (LIS) training programs are gradually expanding their curricula to include computational data science courses such as supervised and unsupervised machine learning. These programs focus on developing both "classic" information science competencies as well as core data science competencies among their…

Analyses of North American LIS program alumni survey data indicate that the completion of any end of program assessment (EPA) or capstone is associated with certain early-career success measures. Using data collected in the Workforce Issues in Library and Information Science 2 project (WILIS 2), we examined the type of EPAs (internships,…

This study examined the relationship between scholarly publication by faculty teaching in library and information science programs and 18 selected variables. Six variables were found to be predictors of faculty productivity: highest degree earned, size of faculty, years elapsed from bachelors's to highest degree, program type, prestige of program,…

This study compared graduates and nongraduates of the Graduate School of Library and Information Science (GSLIS) at the University of California-Los Angeles (UCLA) using 28 student characteristics as variables. The findings indicate that the optimal predictors of GSLIS grade point average (GPA) and completion of the program are undergraduate GPA,…

A survey of master's students from 54 accredited library schools reveals that location and flexible scheduling were the prevailing reasons for the selection of a library program. Faculty, quality of programs, financial support, and costs were shown to be less important overall. (nine references) (EA)