What is Data Science?

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.

Who Hires Data Scientists?

In short… everyone! Companies in almost every business sector imaginable recognize the need 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.

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.

• Average annual salary for data analysts: $59,732/year (source)
• Average annual salary for data scientists: $95,998/year (source)
• Job outlook: from 2013 to 2018, the number of data science job postings grew by 256% (source)
• Data scientist job: #1 in list of best 50 jobs in America (source)

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.

Want to see who is hiring Data Scientists now? Take a look at the following job boards that focus on data science jobs:

• AnalyticTalent.com
• DataJobs.com
• Kaggle
• KDnuggets
• icrunchdata

Learn more about Ramapo’s undergraduate and graduate programs in Data Science.

Data Science News

November 3, 2021Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets

Congratulations to Ramapo's Data Science Professor Osei Tweneboah. Dr. Tweneboah has co-authored the textbook Data Science in Theory and Practice: Techniques for Big Data Analytics and Complex Data Sets recently published by Wiley. This book is perfect for data practitioners, undergraduate and graduate students in Data Science, Business Analytics, and Statistics programs. It provides a comprehensive treatment of the mathematical and statistical models useful for analyzing data sets arising in various disciplines, like banking, finance, health care, bioinformatics, security, education, and social services. Read More

October 28, 2021Lecture Series: Data is the New Oil- Why Now?

Wednesday, November 10, 2021 at 5:00 PM until 6:00 PM - Eastern Standard Time Ramapo College is proud to host a Graduate Lecture Series about a variety of interesting topics throughout the year. During the RCNJ Lecture Series: Data is the New Oil- Why Now, you'll have the opportunity to hear from Arnab Mukhopadhyay, Head of Enterprise Architecture at Valley Bank more about exploring a systemic or architecture-based viewpoint on exploring various aspects of data – ranging from an overview on data technologies, data integration, data analytics, data governance, and industry usage of data. For more information about this particular ... Read More

October 11, 2021Using Machine Learning to Analyze and Predict the Movement of Horseshoe Crabs in Long Island Sound - Recording

We want to thank Dr. Samah Senbel for the wonderful talk on using Machine Learning to analyze the movement of Horseshoe Craps in the Long Island Sounds. In case you missed it, her talk can be viewed here. Read More

August 27, 2021Using Machine Learning to Analyze and Predict the Movement of Horseshoe Crabs in Long Island Sound

Dr. Samah Senbel, Assistant Professor of Computer Science at Sacred Heart University will be describing her work on developing machine learning models to predict animal movement patterns. Please join us (virtually) on Monday, September 27th at 1pm to learn more about this important area of study in ecology, conservation and wildlife management. Register Now Connection details will be provided after registration. Abstract: Developing models to predict animal movement patterns is an important area of study in ecology, conservation and wildlife management. Models can be used to decipher patterns in mark-recapture data and machine learning can help to make predictions about ... Read More

April 21, 2021MSDS Students at Scholars Week - College Football Recruiting Using Machine Learning Techniques

Colette Barca, Keith Osani, Nisha Srishan, and William “Brady” Wulster are inaugural members of the Master’s in Data Science program. During their MATH 570 Applied Statistics course with Professor Osei Tweneboah, they designed and completed a research project to predict high school football recruits’ college commitments using several Machine Learning techniques. The four designed their project with the understanding that college football is big business. To create a winning team that will continue to generate revenue, Division I Football Bowl Subdivision (FBS) Power Five schools need to choose their recruits wisely. Recruits are selected based on certain player attributes. Power ... Read More

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