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The next level is within your reach. Prepare to advance your career with a master’s, doctoral, or professional degree from Rutgers–Camden. 

A University That’s Here for You

As a graduate student at Rutgers–Camden, you’ll learn from acclaimed faculty in a supportive, challenging environment. Many of our programs also offer convenient evening and weekend courses, so you can balance work, life, and education.

Explore Our Graduate Degrees & Programs

We offer 29 master’s and doctoral degrees, plus professional law degrees. You’ll find the program that’s right for you at Rutgers–Camden.

Offering master’s and doctoral degrees, the Graduate School has programs in everything from biology and education to creative writing and psychology.

A public law school of national distinction, Rutgers Law School offers a rigorous legal education, a world-class law school facility, an extensive clinical and pro bono program, and recognition as a high-value law school.

A graduate degree from the Rutgers School of Business–Camden is a sound business decision. Here, you’ll find a top-flight faculty and relevant, pragmatic business programs designed around your busy schedule.

The Rutgers School of Nursing–Camden has affiliations with top hospitals and health care agencies in southern New Jersey and the metro Philadelphia region to provide challenging clinical experiences.

Faculty in Focus

Faculty in Focus

Sunil Shende

Sunil Shende

Professor, Computer Science, Graduate Program Director (Computer Science; Data Science)


Dr. Shende, the Graduate Program Director for the master's programs in Data Science and Computer Science, actively supports students in learning and mastering the latest technological advancements. His approach is focused on nurturing both intellectual growth and innovative thinking within the discipline.


Dr. Shende's research, supported by National Science Foundation funding, spans a broad spectrum of algorithms and their theoretical analysis. His interests include parallelism in natural language processing, network protocols, distributed algorithms, game theory, and data mining in scientific computing. This diverse focus allows him to mentor undergraduate and graduate students at Camden in their research endeavors while advancing the fields of computer and data science.