Website: 4+1 – Master of Science in Data Science
Faculty:
- Osei Tweneboah
- Debbie Yuster
- Current as of June 2020
Ramapo College offers students the ability to begin their Master’s of Data Science (MSDS) program while still an undergraduate. This accelerates their graduate program and allows them to complete their MSDS in one additional year beyond their 4-year Bachelor’s degree. This five year program is designed for students enrolled in Bioinformatics, Computer Science, Data Science, and Mathematics majors. Students interested in enrolling in the MSDS program in the 4+1 track should contact their undergraduate advisor, and the MSDS Program Director, Dr. Scott Frees.
Students completing majors in other disciplines may also contact the Program Director for assistance in designing a 5-year plan for their specific situation.
The pre-requisites of the Master’s in Data Science program are built into the undergraduate major 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 for the undergraduate program, students will begin their graduate courses in their senior year. The policy for Undergraduate students taking graduate-level courses is outlined at:
https://www.ramapo.edu/provost/policy/undergraduate-students-taking-graduate-courses/
Thus, students are limited to 3 graduate courses counting towards their undergraduate degree. As graduate level courses are 3 credit hours and undergraduate courses are typically 4 credit hours, students must 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 take 9 credits
4th Year Graduate Courses
Students are recommended to take 9 credits
- Fall Semester (6 Credits)
- DATA 101 - INTRODUCTION TO DATA SCIENCE
- CMPS 530 - PYTHON FOR DATA SCIENCE OR
- MATH 570 - APPLIED STATISTICS
- Spring Semester (3 Credits)
- DATA 620 - ETHICS FOR DATA SCIENCE
5th Year Graduate Courses
- 1st Semester (12 Credits)
- CMPS 530 - PYTHON FOR DATA SCIENCE OR
- MATH 570 - APPLIED STATISTICS
- MATH 680 - ADVANCED MATHEMATICAL MODELING
- Choose 2
- Technical Elective
- Interdisciplinary Elective
- DATA 730 - DATA SCIENCE FIELDWORK
- 2nd Semester
- CMPS 664 - ADVANCED DATABASE AND BIG DATA SYSTEMS
- Technical Elective
- DATA 750 - DATA SCIENCE THESIS