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Data Science


Ramapo College Office of Admissions

McBride House 505 Ramapo Valley Road Mahwah, NJ 07430

p: (201) 684-7300
f: (201) 684-7964

About Data Science

Are you a person that enjoys statistics? Do you love computer programming? Would you like to join a growing field to utilize both skills to communicate solutions to problems from various industries? If so, then you should consider majoring in Data Science.

Data Scientists collect, synthesize, and analyze big data to drive scientific discovery and business opportunities. Data Scientists are skilled in programming languages, like R and Python, and leverage advanced knowledge in statistics, machine learning, and data visualization to meet the demands of modern business and science.

Data Science sits at the intersection of mathematics and computer science and is applied to a boundless set of disciplines. This program requires mathematics, statistics, computer programming, ethics, and a disciplinary minor as a basis for the integrated projects required within the Data Science program.

More Information About Data Science at Ramapo College

Classes you can take:

See Full Program Requirements

Career Opportunities

A degree in Data Science prepares students for jobs in a diverse set of industries including hospitals, pharmaceutical manufacturers, financial and trading firms, sports teams, marketing agencies, and of course tech companies. Data Scientists entering the job market with skills in programming, statistics, machine learning, and data visualization have their pick of high paying, high quality jobs at some of the most prestigious and exciting companies in the country.

The LinkedIn August 2018 workforce report found a 150,000+ labor shortage for Data Scientists, with particularly elevated demand in NJ/NY, SF, and LA metro areas.

Glassdoor ranked Data Scientist as the #1 job in America in 2019, with a median base salary of 108K/year, and has been ranked the #1 best paying job out of college in 2019.

Pricewaterhouse Coopers has estimated that 27% of employers are looking for a Master’s degree when filling Data Science positions. That same study identifies New Jersey and New York as the #1 region in terms of number of job postings.

This program also prepares students to continue into a graduate program in Data Science or disciplinary analytics program.

Hands-On Learning

This project-based major asks students to apply their skills to real problems throughout the curriculum. The culminating experience of this program is a capstone project, ideally a problem from the minor or second major discipline. The student works on an extensive project to produce a solution to a data related problem and must communicate their results to the College community.

Data Science Minor

Data Science is an interdisciplinary field at the intersection of mathematics and statistics, computer science, and a domain discipline from which the data is applied. The Data Science major program provides a strong technical background in mathematics and computer science and uses an embedded minor to allow students to explore another discipline more deeply. This Data Science minor offers the exact opposite experience. This is meant for students that have a deep understanding of their major discipline to add technical skills to better understand how to utilize data. The goal of this program is to ensure that students with a minor in Data Science have a solid foundation to effectively work with data in their chosen field.

The proposed minor in Data Science program consists of four required courses and one elective. The key courses are DATA 101: Introduction to Data Science to understand the landscape of data science and develop skills to address problems, and DATA 301: Data Analysis and Visualization to utilize and communicate data effectively. The courses CMPS 130: Scientific Problem Solving in Python and CMPS: 240 Data Analytics in Python are to develop their technical skills in Python and prepare them for DATA 301. The statistics elective is to allow students the opportunity to explore statistical analysis that is the foundation of the field. We include many disciplinary courses to hopefully encourage students in quantitatively related disciplines to explore this data science minor.

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