Computer science is centered around the practice of applied problem solving using technology. Rooted in the natural sciences and mathematics, it relates to many aspects of the social sciences (e.g., social network analysis, human-computer interaction, etc.), the arts (e.g., interaction design) and the humanities (e.g., media studies).
Drew’s computer science program is designed to stimulate critical thinking, problem solving, and creativity, together with effective communication skills that prepare students for academic and professional achievement. Computer science students at Drew learn by doing. In many courses, students and instructors explore core computing topics through projects, often for real customers. To date, these projects have resulted in many completed software applications installed and in use at our partner sites. Other opportunities for real-world learning include a variety of internships and collaborative research projects with our faculty and other students.
Link to Catalog for Computer Science Major information.
Link to Catalog for Computer Science Minor information
Our cybersecurity major is interdisciplinary, includes the foundations of software security, and has flexibility through elective offerings so students can opt to choose emphases in software, systems, or interdisciplinary contexts.
By the end of the courses in the major, students will be able to identify common vulnerabilities in a software system and propose appropriate countermeasures and mitigation solutions according to best security industry practices. They will also be able to critically evaluate legal and ethical issues in cybersecurity practices and solutions.
Link to Catalog for Cybersecurity Major information
Mathematics lies at the heart of the liberal arts. Based in abstraction and logical reasoning, mathematics is both a body of knowledge and an elegant and useful way of perceiving our world.
Through mathematics, we can distill and describe the otherwise hidden patterns and relations among things. Because of this, mathematics finds ubiquitous application, from the natural and social sciences to the humanities and the arts. Precise abstraction and quantification play an increasingly important role in these diverse areas, and the study of mathematics can provide a foundation for any of them.
Link to Catalog for Math Major information.
Link to Catalog for Math Minor information
Statistics is the practice of working with data using computational and quantitative techniques: collecting, organizing, modeling, analyzing, summarizing, and visualizing, often in order to make well-founded inferences or predictions from samples. Statistical methods and ways of thinking are important in many disciplines, from physical sciences to the humanities; and statistical evidence is crucial for high-stakes decision-making in realms like medicine, public policy, and finance.
The ability to handle and think critically about data, and to understand the design, assumptions, and limitations of statistical analysis and studies fit well within a liberal arts education. Drew’s statistics program has a strong computational, applied, and interdisciplinary focus that prepares students to more effectively contribute to their area of study and to better understand, improve, and protect the world in which we live.
Link to Catalog for Statistics Major information.
Link to Catalog for Statistics Minor information
In the last 40 years, data analysis and visualization, computer simulation, and computer modeling have become important tools for disciplinary research and inquiry. In many areas the change has been revolutionary, transforming the nature of knowledge itself. For example, without computing technology, we simply could not know what we do today about genomics, neuroscience, or geography. Further from traditional science disciplines, data—supported by tools that access, process, summarize, and visualize it—have given us Google Translate, GPS, instant access to centuries’ worth of music and art, and much more.
Data science has arguably democratized knowledge and information (if sometimes imperfectly). This minor will enable students to participate in the data revolution not only as consumers, but as creators and developers, and to understand and experience the role of data technology in modern research and decision making.
Link to Catalog for Data Science Minor information
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’s 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.
Learn more about Drew’s Master’s in Data Analytics.
While pursuing your Bachelor’s degree at Drew, you can get on the fast track to early graduation and two degrees with Drew’s dual degree program. No matter your interest, our dual-degree programs double your resources, save you time, and help you save on tuition. Among the options are:
- MS in Cybersecurity — with New York University
- BS or BE in Engineering — with Columbia University
- BS in Engineering — with Washington University in St. Louis
- MS in Software Engineering — with Stevens Institute of Technology
- MAT in Teaching — with Caspersen School of Graduate Studies
Learn more about our Dual-Degree programs.