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The recommended four-year plan is designed to provide a blueprint for students to complete their degrees within four years. Students must meet with their Major Advisor to develop a more individualized plan to complete their degree.  This plan assumes that no developmental courses are required.  If developmental courses are needed, students may have additional requirements to fulfill which are not listed in the plan and may extend degree completion.

NOTE: This recommended Four-Year Plan is applicable to students admitted into the major during the 2021-2022 academic year.

First Year

Fall Semester

Spring Semester

Second Year

Fall Semester

Spring Semester

Third Year

Fall Semester

Spring Semester

Fourth Year

Fall Semester

  • Major: CMPS 320 - MACHINE LEARNING (HRS 4)
  • DATA Elective** (HRS 4)
  • Minor Requirement*/Elective (HRS 4)
  • General Elective: Elective (HRS 4)
  • Total: (HRS 16)

Spring Semester

Total Credits Required: 128 credits

GPA Required: 2.0

WI: Writing Intensive-3 required in the major

* As part of their degree requirements, Data Science majors are also required to complete a minor or double major to gain domain knowledge in a particular field, to better contextualize their data studies. Most minor programs require 5-6 courses. Any minor or second major can be selected: https://www.ramapo.edu/majors-minors/a-z/ 

** DATA elective courses may require pre-requisites outside the program requirements.  For example, Math 305 Differential Equations, Math 245 Numerical Analysis, and Math 253 Probability each have Math 122 Calculus II as a pre-requisite.  Additionally, Math 253 Probability also allows the option for Math 122 Calculus II to be taken as a co-requisite.