An apparatus and method for classifying a multi-channel user data set to a program category configuring the processor to receive user data by displaying a graphical user interface, the graphical user interface having at least a user input field, receiving, at the user input field, a first element of user data and capture, using a sensor, a second element of user data, wherein the second element of user data indicates a current user state, determine a user compatibility with a plurality of program category admission requirements as a function of user data utilizing a machine-learning model, wherein generating the machine-learning model comprises receiving training data, wherein the training data comprises user data inputs correlated to user compatibility outputs and determining, using the machine-learning model, as a function of the user data, the user compatibility with program category admission requirements, generate program category data for a user as a function of user data and user compatibility and generate a program category completion notification as a function of user completion data.