Abstract: This study proposes test of Emotional Quotient (EQ) of UTME candidates by Universities they have applied to, as alternative to duplicate Intelligent Quotient test (Post UTME) presently practiced. The proposed assessment system was tested by designing a questionnaire which asks EQ questions and uses Student’s response on whether they gained Merit or Supplementary admission and tagged academic ability. EQ ordinal questions were summed and transformed into categorical questions that is used to derive interaction with independent variables. Performance of EQ as Dependent while demographic information was used as Independent variable was derived using classification tree. Similarly, association with Student’s admission type as dependent variable while EQ items and demographic data is independent variable was also derived. The result of Classification Tree with CHAID algorithm returns Study Type as variable with highest priority to dependent variable, with p-value of 0.000 and Chi-Square of 26.203. Age and EQ item were also shown to have statistical significance with Age having a p-value of 0.000 and Chi Square of 27.251. Older participants have higher Merit admission than Supplementary admission. EQ item with ability characteristic was captured in node 3 alongside age. Participants who Agree to this item have higher Merit admission than those who do not. Alternative Hypothesis is accepted and Null hypothesis rejected. Performance prediction using Admission Type returned overall 76.5% accuracy while prediction using EQ and dependent variable while other demographics were input ad independent variables returned 68.8% performance accuracy. Also, the choice of Mixed Model for Testing EQ seems to be ideal since performance of both types (68.8% for Self-Report and 75.5% for Ability) and not too far apart. The researcher therefore recommends the use of Previous works (Results) as well as Remote Emotional Assessment System (REAS) as alternative to PUTME.