Computational and Integrative Biology (M.S. and Ph.D.)

& Integrative
Biology (M.S. | Ph.D.)

Welcome to Rutgers-Camden’s master’s and doctoral programs in Computational and Integrative Biology. These programs operate within an interdisciplinary center, connecting experimental and computational methods in quantitative biology. The curriculum explores integrative biology, spanning molecular intricacies to population dynamics, and harnesses computational tools for meticulous experiment design and analysis.


Rutgers-Camden’s Center for Computational and Integrative Biology (CCIB) is an interdisciplinary research center for bridging experimental and computational approaches in quantitative biology. For over a decade, CCIB’s master’s and doctoral programs have excelled in preparing students for contemporary research roles across academia, industry, and government. Our alumni thrive in postdocs and tenure-track faculty positions in the U.S. and Europe, research roles with organizations including Genentech, Evotech, and LG Chem, and governmental agencies like the FDA, DOD, and USDA.

Students in the master’s program develop strong quantitative skills and a deep understanding of systems biology, crucial for conducting meaningful computational and integrative research. The Essential Courses provide a solid foundation in biological chemistry, biomathematics, computer science, and integrative biology. Moreover, students refine their ability to apply quantitative methods, critically assess scientific literature, and communicate research outcomes effectively.

The doctoral program offers rigorous research training. With faculty support, students from diverse academic backgrounds contribute to groundbreaking interdisciplinary research. Doctoral candidates attain a productive understanding of the five scientific fields (Biology, Chemistry, Computer Science, Mathematics, and Physics) within CCIB, enabling them for interdisciplinary research. Students deepen their knowledge in a specific computational biology area, contributing significantly to research. They gain lab exposure in both experimental and computational realms of computational and integrative biology. Students engage in comprehensive research activities within specific computational and integrative biology areas, encompassing both computational and experimental components.

Charting Your Course: M.S., Ph.D., and 2+3 Options

The Master of Science (M.S.) in Computational and Integrative Biology is a 30-credit program. Graduates have the option to continue their studies in the doctoral program.

2 + 3

In the 2+3 model, students pursue an M.S. degree for two years, take the same classes, and are on schedule as Ph.D. students. After two years, 2+3 students undergo a streamlined application process for the Ph.D.

The Doctor of Philosophy (Ph.D.) in Computational and Integrative Biology, a 70-credit program, prepares students to become researchers in the field, offering a comprehensive curriculum to develop expertise as scholars.

Program Overview




DEGREEMaster of Science (M.S.)
Accelerated option available
Doctor of Philosophy (Ph.D.)
CREDITS30 credits70 Credits
FORMATFull-time or part-time, on-campusFull-time or part-time, on-campus
DURATION3-4 semesters 10 semesters
FUNDINGUniversity, Graduate School, and Departmental Funding Available (Partial Funding Only)University, Graduate School, and Departmental Funding Available (Full funding available for select students)

Program in Action

Connect with the Computational & Integrative Biology community: faculty, staff, researchers, students, and alumni.

In this episode, Basirat Rufai, a CCIB Ph.D. candidate, and a Data Science student discuss their experiences as international students.

In October 2019, Rutgers-Camden and regional universities opened the Joint Health Sciences Center, home to CCIB students.

Admissions Requirements




TRANSCRIPTS A transcript showing the completion of an undergraduate degree in one of the natural sciences, mathematics, computer science, or engineering.A transcript showing the completion of an undergraduate degree in one of the natural sciences, mathematics, computer science or engineering. Students with a master’s degree in one of these areas will also be considered.
LETTERS OF RECOMMENDATION Three letters of referenceThree letters of reference
PERSONAL STATEMENT Personal statement Personal statement
STANDARDIZED TEST Not requiredGRE scores (General Test required; Subject Test recommended)

Application Deadlines

Preference is given to those submitted before the deadline for both decisions and funding opportunities. Applications received after the deadlines will be considered based on available space and budgetary constraints.




Reach Out to Us

Let’s begin a conversation about your academic and professional goals. If you have questions regarding the curriculum, faculty, admission criteria, or committee, please feel free to contact the Graduate Program Director. For administrative inquiries concerning the application process, campus tuition, and fees, reach out to the Graduate School. We are dedicated to assisting you from application to graduation day.


Dr. Eric A. Klein

Graduate Director
(856) 225-6335


Erick E. Watt-Udogu

Assistant Dean, Graduate School-Camden
(856) 225-6149

Take the Next Step.

We invite you to explore the boundless opportunities that await you here, where a world-class faculty, diverse community, and innovative curriculum converge to nurture your intellect and foster your professional growth. Your future starts with a simple yet significant act – learning more about the exceptional programs we offer. So, why wait? Start your application journey with us, and together, we’ll unlock a future filled with possibilities and endless success.