  The accurate applicant selection for university education is imperative to
ensure fairness and optimal use of institutional resources. Although various
approaches are operational in tertiary educational institutions for selecting
applicants, a novel method of automated matchmaking is explored in the current
study. The method functions by matching a prospective students skills profile
to a programmes requisites profile.
  Empirical comparisons of the results, calculated by automated matchmaking and
two other selection methods, show matchmaking to be a viable alternative for
accurate selection of applicants. Matchmaking offers a unique advantage that it
neither requires data from other applicants nor compares applicants with each
other. Instead, it emphasises norms that define admissibility to a programme.
  We have proposed the use of technology to minimize the gap between students
aspirations, skill sets and course requirements. It is a solution to minimize
the number of students who get frustrated because of mismatched course
selection.
