Website: 4+1 – Master of Science in Data Science
Ramapo College offers students the ability to begin the Master of Science in Data Science (MSDS) program while still an undergraduate. This accelerates their graduate program and allows them to complete their MSDS in one additional year after earning their 4-year Bachelor’s degree. This five-year program is designed for students enrolled in Bioinformatics, Computer Science, Data Science, and Mathematics undergraduate programs. Students interested in enrolling in the MSDS program via the 4+1 track should contact their advisor, and the MSDS Program Director, Dr. Scott Frees.
Students completing Bachelor’s degrees in other disciplines may also contact the Program Director for assistance in designing a 5-year plan for their specific situation.
The prerequisites of the Master of Science in Data Science program are built into the undergraduate major-required and elective courses to ensure students are well-prepared for the graduate program. These include courses in programming, statistics, and linear algebra.
In addition to the courses required by the undergraduate program, students will begin their graduate courses in their 4th year. The policy for Undergraduate Students Taking Graduate-Level Courses Policy is found at:
https://www.ramapo.edu/provost/policy/undergraduate-students-taking-graduate-courses/
Thus, students are limited to 3 graduate courses double-counting towards both their undergraduate and graduate degrees. As most graduate-level courses are 3 credit hours and undergraduate courses are typically 4 credit hours, students are to ensure they have taken the sufficient number of credits to reach the 128 credit hours required for undergraduate graduation.
Some courses may count towards the undergraduate major or minor, and so you should speak with your undergraduate major or minor advisor for more information.
Students are recommended to complete 9 credits of graduate level-courses.
4th Year Coursework
- FALL SEMESTER (6 CREDITS)
- DATA 601 - INTRODUCTION TO DATA SCIENCE
- CMPS 530 - PYTHON FOR DATA SCIENCE OR
- MATH 570 - APPLIED STATISTICS
- SPRING SEMESTER (3 CREDITS)
- DATA 620 - ETHICS IN DATA & COMPUTING
5th Year Coursework
- 1ST SEMESTER (12 CREDITS NEEDED)
- CMPS 530 - PYTHON FOR DATA SCIENCE OR
- MATH 570 - APPLIED STATISTICS
- MATH 680 - ADVANCED MATHEMATICAL MODELING
- CHOOSE TWO ELECTIVES (3 Credits Each)
- DATA 730 - DATA SCIENCE FIELDWORK I
- TECHNICAL ELECTIVE OPTIONS:
- CMPS 620 - MACHINE LEARNING
- DATA 670 - DATA VISUALIZATION
- DATA 730 - DATA SCIENCE FIELDWORK I
- DATA 590 - TOPICS: OR (Topic Course must be approved by Program Director)
- DATA 690 - TOPICS (Topic Course must be approved by Program Director)
- INTERDISCIPLINARY ELECTIVE OPTIONS:
- BADM 501 - DATA ANALYTICS
- DATA 730 - DATA SCIENCE FIELDWORK I
- EDLD 602 - BEST PRACTICES IN CURRICULUM PLANNING, DESIGN & DEVELOPMENT
- EDLD 604 - APPLIED RSCH IN PRACTICE:USING DATA FOR CURR-BASED DECISION MAKING, PLANNING & RENEWAL
- EDTC 633 - DESIGN THINKING AND DATA ANALYSIS
- MBAD 610 - BECOMING A 21ST CENTURY LEADER
- MBAD 612 - LEADING CHANGE IN AN UNCERTAIN WORLD
- MBAD 615 - BUSINESS ANALYTICS
- MSWK 645 - ADVANCED SEMINAR OF TOPICS ADDRESSING SUBSTANCE USE DISORDERS
- 2ND SEMESTER (9 CREDITS NEEDED)
- CMPS 664 - ADVANCED DATABASE AND BIG DATA SYSTEMS
- DATA 750 - DATA SCIENCE THESIS
- CHOOSE ONE TECHNICAL ELECTIVE FROM LIST ABOVE (3 Credits Each)