Data Analytics.
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:
Read more about the Data Analytics degree, and review the Program Requirements.
Drew’s Data Analytics programs are structured to focus on the intersections of statistics, computer science, skills and technologies. ”
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.
Foundational courses (6 credits)
Must be taken prior to enrolling in core courses. May be taken during the summer before the program starts.
Fall (12 credits)
Spring (12 credits)
Summer (6 credits)
View the Course Catalog for more details.
Foundational courses (6 credits)
Must be taken prior to enrolling in core courses. May be taken during the summer before the program starts.
Fall I (6 credits)
Spring I (6 credits)
Fall II (6 credits)
Spring II (6 credits)
Summer (6 credits)
View the Course Catalog for more details.
Foundational courses (6 credits)
Must be taken prior to enrolling in core courses. May be taken during the summer before the program starts.
Spring I (6 credits)
Fall I (9 credits)
Spring II (6 credits)
Summer (6 credits)
Fall II (3 credits)
View the Course Catalog for more details.
Our graduate certificates enhance core skills required to draw information from data. You may choose from one of three emphases: Statistics, Data Science or Business Analytics. Or, design your own program in consultation with the program director. If you complete one of these certificate programs, you may apply the credits to the Master of Science in Data Analytics.
Prerequisites (6 credits)
Must be taken prior to enrolling in a Data Analytics certificate program. May be taken during the summer before the program starts.
Data Analytics Certificate: Statistics (12 credits)
View the Course Catalog for more details.
Data Analytics Certificate: Data Science (12 credits)
View the Course Catalog for more details.
Data Analytics Certificate: Business Analytics (12 credits)
View the Course Catalog for more details.
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
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.
Start terms: Fall or spring
Deadline: Rolling admissions
Admission requirements
- Completed application
- Bachelor's degree from an accredited institution with a 3.0 GPA
- Official transcripts from all post-secondary institutions
- Personal statement
- Resume/CV
- GRE or GMAT scores optional
International applicants need to meet additional criteria, such as submitting TOEFL/IELTS scores. See our international admissions page for more information