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Data Science

The recommended graduation plan is designed to provide a blueprint for students to complete their degrees on time. Students must meet with their Academic Advisor to develop a more individualized plan to complete their degree.

NOTE: This recommended Graduation Plan is applicable to students admitted into the major during the 2024-2025 academic year.

CRWT Placement

CRWT 101 to CRWT 102

CRWT 101S to CRWT 102S

Math Placement

MATH 021/022 to MATH 024 to MATH 110-121

NOTE: CRWT and MATH courses are determined by placement testing and should be taken following the sequence above.

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)
  • Free Elective (minor, certificate, or second major requirement) (HRS 4)
  • Free Elective (minor, certificate, or second major requirement) (HRS 4)
  • Total: (HRS 16)

Spring Semester

  • Major: DATA 450 - DATA SCIENCE CAPSTONE PROJECT WI (HRS 4)
  • Free Elective (minor, certificate, or second major requirement) (HRS 4)
  • Free Elective (minor, certificate, or second major requirement) (HRS 4)
  • Free Elective (minor, certificate, or second major requirement) (HRS 4)
  • Total: (HRS 16)

Total Credits Required: 128 credits

GPA Required: 2.0

WI: Writing Intensive-3 required in the major

*General Education courses can be done in any order with the exception of INTD 101, CRWT and MATH. Those three general education courses will need to be done first. First Year Seminar is taken in the first semester. Failure to complete CRWT and MATH will result in a hold when the student hits 64 credits. The following general education courses can be done in any order. For more info on these courses, please visit the General Education program requirements website in the College Catalog:

Social Science Inquiry (+W)
Scientific Reasoning
Historical Perspectives (+W)
Studies in the Arts and Humanities (+W)
Global Awareness (+W)

+W: Students transferring in with 48 or more credits are waived from these general education requirements.

*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 Science elective courses to be chosen for the BS in Data Science 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. Please see instructor for ECON 310: Econometrics to discuss prerequisite course requirements.