Data Analytics.
Data Analytics
Big data. Bigger ideas.
The digitization of information—social networks, business transactions, healthcare records and more—has transformed the world, necessitating a demand for people who understand all of the big data being collected and who can take action to help individuals, corporations and organizations become smarter, faster and ultimately more effective.
Through Drew’s Master of Science and graduate certificate programs in Data Analytics, you will:
- Learn how to obtain, prepare and manage data from a wide variety of sources.
- Gain mastery of data analytical techniques.
- Leave with a portfolio of projects and work experience from experiential learning projects and internships.
Read more about the Data Analytics degree, and review the Program Requirements.
Faculty
- Sarah Abramowitz, Program Director and John H. Evans Professor of Mathematics and Computer Science
- Diane Liporace, Adjunct Professor
- Jeongkyu Lee, Associate Professor
- Yi Lu, Assistant Professor
- Nipa Onulak, Adjunct Professor
- Ellie Small, Assistant Professor
Drew’s Data Analytics programs are structured to focus on the intersections of statistics, computer science, skills and technologies. ”
Programs
Both our 12-credit certificate programs and our 30-36 credit Master of Science degree will prepare you to become an advanced analyst who can create and develop data sets and analytic protocols, communicate your analytic findings to leaders and general audiences and ultimately participate in data-informed decision making.
The examples for the course of studies below are for full-time programs, but part-time options are also available.
Master of Science (30-36 credits, one year full-time)
Master of Science (30-36 credits - two years part-time - fall start)
Master of Science (30-36 credits - two years part-time - spring start)
Graduate Certificates (12 credits each)
Outcomes
With the digital transformation of academia and the workforce, it is not surprising that data science and data analytics jobs are projected to grow at some of the fastest rates in the near future.*
| Job title | Average salary | Projected five-year growth |
| Analytics managers | $105,909 | 15% |
| Data scientists & advanced analysts | $94,576 | 28% |
| Data-driven decision makers | $91,467 | 14% |
| Data systems developers | $78,553 | 15% |
| Data analysts | $78,553 | 16% |
| Functional analysts | $69,162 | 17% |
*Burning Glass Technologies
Our Program Director
Dr. Sarah Abramowitz
John H. Evans Professor of Mathematics and Computer Science
Email: sabramow@drew.edu
Sarah Abramowitz received a B.A. degree in Mathematics from Cornell University, an M.S. degree in Mathematics from the State University of New York at Stony Brook, and a Ph.D. in Mathematics Education from New York University. Dr. Abramowitz has been a professor in the Department of Mathematics and Computer Science at Drew University since 1998. She specializes in Educational Statistics. She is the co-author with Sharon Weinberg of “Statistics Using IBM SPSS: An Integrative Approach”, “Statistics Using Stata: An Integrative Approach,” “Statistics Using R: An Integrative Approach,” and is an Associate Editor and Social Media Editor of the Journal of Statistics Education.