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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 2026-2027 academic year.
To enroll, visit https://www.ramapo.edu/data-science/4plus1/
CRWT 101 to CRWT 102
CRWT 101S to CRWT 102S
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
- Gen Ed: Quantitative Reasoning – MATH 121 - CALCULUS I (HRS 4)
- Gen Ed: INTD 101 - FIRST YEAR SEMINAR (HRS 4)
- Gen Ed: CRWT 102 - CRITICAL READING AND WRITING II (HRS 4)
- Major: DATA 101 - INTRODUCTION TO DATA SCIENCE (HRS 4)
- Total: (HRS 16)
Spring Semester
- Major: CMPS 130 - SCI PROBLEM SOLVING-PYTHON (HRS 4)
- Major: MATH 237 - DISCRETE STRUCTURES WI OR MATH 205 - MATHEMATICAL STRUCTURES WI (HRS 4)
- General Education Requirement (HRS 4)*
- General Education Requirement (HRS 4)*
- Career Pathways: PATH 001 - CAREER PATHWAYS MOD 1
- Total: (HRS 16)
Second Year
Fall Semester
- Major: CMPS 240 - DATA ANALYTICS IN PYTHON (HRS 4)
- General Education Requirement (HRS 4)*
- General Education Requirement (HRS 4)*
- Free Elective (minor, certificate, or second major requirement) (HRS 4)
- Career Pathways: PATH 002 - CAREER PATHWAYS MOD 2
- Total: (HRS 16)
Spring Semester
- Major: MATH 262 - LINEAR ALGEBRA WI (HRS 4)
- General Education Requirement (HRS 4)*
- General Education Requirement (HRS 4)*
- Free Elective (minor, certificate, or second major requirement) (HRS 4)
- Career Pathways: PATH 003 - CAREER PATHWAYS MOD 3
- Total: (HRS 16)
Third Year
Fall Semester
- Major: DATA 301 - DATA ANALYSIS & VISUALIZATION (HRS 4)
- Gen Ed: Distribution Category: - VALUES AND ETHICS – DATA 225 - ETHICS OF TECHNOLOGY 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 2)
- Total: (HRS 18)
Spring Semester
- Major: MATH 370 - APPLIED STATISTICS (HRS 4)
- Major: CMPS 364 - DATABASE DESIGN (HRS 4)
- Free Elective (minor, certificate, or second major requirement) (HRS 4)
- Major: CMPS 231 - DATA STRUCTURES (HRS 4)
- Free Elective (minor, certificate, or second major requirement) (HRS 1)
- Total: (HRS 17)
Fourth Year
Fall Semester
- Major: CMPS 320 - MACHINE LEARNING (HRS 4)
- Major: CMPS 310 - BIG DATA PROGRAMMING1 (HRS 4)
- Free Elective (minor, certificate, or second major requirement) (HRS 4)
- Major: CMPS 547 - FOUNDATIONS OF COMPUTER SCIENCE (HRS 3)
- Total: (HRS 15)
Spring Semester
- Major: DATA 450 - DATA SCIENCE CAPSTONE PROJECT WI (HRS 4)
- Major: CMPS 531 - DATA STRUCTURES & ALGORITHMS (HRS 3)
- MSCS Elective or DATA 620 - ETHICS IN DATA & COMPUTING (HRS 3)
- Major: CMPS 311 - OPERATING SYSTEMS2 (HRS 4)
- Total: (HRS 14)
Fifth Year
Fall Semester
- Major: MSCS Elective (HRS 3)
- Major: MSCS Elective (HRS 3)
- Major: MSCS Elective (HRS 3)
- Major: MSCS Elective (HRS 3)
- Total: (HRS 12)
Spring Semester
- Major: MSCS Elective or DATA 620 - ETHICS IN DATA & COMPUTING (HRS 3)
- Major: MSCS Elective (HRS 3)
- Major: CMPS 750 - COMPUTER SCIENCE THESIS (HRS 3)
- Total: (HRS 9)
Total Credits Required for undergraduate degree: 128 credits****
GPA Required for BS in Computer Science: 2.0
GPA Required for 4+1 Pathway: 3.0
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:
+W: Students transferring in with 48 or more credits are waived from these general education requirements.
1 Or another CMPS course from the set of courses outlined in the narrative above.
* 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/
*** Two additional free electives are required in the 3rd year because graduate courses are only 3 credits, instead of the usual 4 for undergraduate courses. Thus, a student must take an additional 3 credits to meet the 128-credit graduation requirement.
Total Graduate Credits Required: 30 credits****
GPA Required for MSCS: 3.0
****The 9 credits of graduate coursework taken in the fourth-year will double count towards both the undergraduate degree requirement of 128 credits as well as the required 30 graduate credits.
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