Mathematics, Computer Science, Statistics, and Cybersecurity


Mathematics, Computer Science, Statistics and Cybersecurity


These studies provide rigor of thought and a background that is in demand not only for careers directly using mathematics and computer science disciplines, but also in areas such as psychology, law, public health, finance, and business, where clear thinking and analysis are indispensable.

Majors (most also available as minors) include computer science, cybersecurity, mathematics, and statistics. Data science is also offered as a minor.

Students may also earn a Master’s in Data Analytics, or a dual degree (Bachelor’s + Master’s) in Cybersecurity (with New York University), Data Analytics (both degrees at Drew), Software Engineering (with Stevens Institute of Technology) or Teaching (both degrees at Drew).

For details, click on the programs below:

I love how the upper level classes are structured here. They’re really project based. We get an initial understanding of the coding and the syntax, and then we take those tools and see if we can get them to do something. It’s how to build a project, and then how you can adapt your project to fit [the customers’] needs. ”
Katie Jefferson
Class of 2020

Above & Beyond

From honors theses and conference presentations to prestigious scholarships, the limit on math and computer science students does not exist. Here are just a few recent highlights from our department's students and faculty. Click the button below to see more.

The Rudniy Lab for Twitter Analysis: Erin Frederick, Ying Li, Timur Nurmanov, Lisa Stites, Ruying Yu, and Nolan Zhang.

Aaron Baxter with Ziyuan Meng, 2021: "Unified Information Theory and Cybersecurity." DSSI.

Daniel Kellaway with Seth Harris, 2021: "Divisibility, Discrete Logarithms, and Cyclotomic Polynomials." DSSI.

Damaris Zola with Emily Hill, 2020: "Automatically mining software word relations." DSSI.

Bahara Bohammadi with Emily Hill, 2020: "Afghan Girls Code." Independent study.

Daniel Kellaway with Seth Harris, 2020: "Divisibility, Discrete Logarithms, and Cyclotomic Polynomials." DSSI.

Lloyd Goldstein, 2020: "What Makes a Good Quarterback? Analysis of Longitudinal NFL Data Using Latent Variable Clustering Methods." Honors Thesis.

Michael Clancy, 2018: “A Mathematical Development of Quantum Mechanics.” Honors Thesis.

Mohammed Hassan with Emily Hill, 2018: “Toward Automatic Summarization of Arbitrary Java Statements for Novice Programmers.” IEEE International Conference on Software Maintenance and Evolution, New Ideas and Emerging Results (NIER) Track. Paper presented by Mohammed Hassan in Madrid, Spain.

Jen Benedict, 2018: "Automatic Munsell Color Detection in Mobile Applications." Honor's Thesis.

Department Mission

The mission of the Department of Mathematics and Computer Science is to provide contemporary educational opportunities for Drew University community members who will benefit from knowledge of mathematics, statistics, data science, computer science, software engineering, cybersecurity, and the social and ethical environments in which we practice these disciplines.

We work with students who wish to pursue careers or graduate studies in fields that make use of these mathematical and computational subjects, as well as students, staff and faculty across disciplines working on interdisciplinary programs or projects.

A supportive community that encourages interdisciplinarity, a combination of theory and experiential learning, and the success of all of our students, we strive to help our students develop:

• A facility for effective problem analysis
• A keen sense of the appropriate application of existing problem-solving techniques and technologies, and the ability to innovate when necessary
• The ability to work effectively in teams and to communicate clearly, both orally and in writing.
• An appreciation of our disciplines' relevance to various careers and to many aspects of modern life.