It has frequently been stated that New Testament textual criticism is both an art and a science, but over the centuries it seems that the field has been primarily dominated by the “art” part, resulting in a large amount of subjectivity that has little to do with science. One group of scholars examines the evidence and chooses the reading that they think best explains the others, and then another group of scholars does the exact same thing but comes to a different conclusion. But with the introduction of computer-based processing through the Coherence-Based Genealogical Method (CBGM), Bayesian Phylogenetics, and the Statistical Restoration Greek New Testament (SRGNT), things are beginning to change. Subjective decision making of the past involving just-so stories, theological bias, conjectural emendation, and voting, can be updated with precise data-driven statistical analysis and scientific processes which are observable, testable, and repeatable. And this results in a number of substantial advantages over the traditional methods that have been used, providing greater accuracy, reliability, consistency, and quicker incorporation of new evidence. Further applications in the fields of computer science, data science, and artificial intelligence are inevitable and should be embraced by textual critics, rather than avoided out of fear or lack of training. This may require educational institutions to retool their curriculums to better equip students for the future, but the advantages gained will be well worth the investment.