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Data Science sits at the intersection of mathematics and computer science and is applied to a boundless set of disciplines – including health, physical sciences, business, environmental studies, sociology, and political 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.
Coursework includes R, Python, Advanced Database Systems, Machine Learning, Applied Statistics, and Mathematical Modelling. In addition, we are building partnerships with local industries to create fieldwork opportunities for our students – so you will work on real-world problems while earning credit towards your degree.
Data Science is integral to the needs and operations of almost every business sector and enables companies to leverage data to predict trends, inform decisions and make breakthroughs. Data Scientists are employed by hospitals, pharmaceutical manufacturers, financial and trading firms, sports teams, marketing agencies, and of course, tech companies. In fact, Glassdoor ranked Data Scientist as the #1 job in America in 2019, with a median base salary of $108K/year, as well as the #1 Best Paying Job Out of College in 2019.
Job Title | Salary Range |
---|---|
Data Scientists and Mathematical Science Occupations, All Other | $64,280 - $174,370 |
Computer and Information Research Scientists | $80,150 - $180,300 |
Operations Research Analysts | $60,660 - $168,270 |
* Sources of Information: United States Department of Labor: Bureau of Labor Statistics (2020). For more information about careers and assistance in making your career plans, please contact Career Services (cahill@ramapo.edu) or visit www.ramapo.edu/careercenter/.
A signature feature of the M.S. program is Fieldwork Experience (DATA 730) projects. These projects focus on real-world problems brought to the program by industry sponsors. Students work closely with faculty and sponsors over one or more semesters. The model gives industry sponsors access to our students and our faculty to help create business value/insights, explore new ideas and build new products while also creating a pipeline for talented students to join them after graduation.
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