The master's degree in scientific computing is designed to
prepare students with rigorous computational training for careers in
science, engineering, and finance. The program provides a strong
foundation in algorithms and programming relevant to current and
emerging computational applications. The program is offered by the
Department of Computer Science at Rutgers–Camden and draws on courses
from other Rutgers departments and centers, including the Rutgers Center
for Computational and Integrative Biology (CCIB), reflecting the
interdisciplinary emphasis of the program and the interdisciplinary
trends driving modern computer science.
Through rigorous coursework and a thesis, students will develop
theoretical understanding and practical skills to tackle diverse
computational problems in industry and academia, from modeling proteins
for drug discovery to mining massive internet transaction datasets for
business decision support to forecasting ecosystem behavior for
sustainable management. Graduates will be prepared for career
opportunities in companies and organizations where scientific computing
plays an important enabling role, for example, in biotechnology,
telecommunications, finance, and scientific research. The program will
also provide graduates with a strong foundation in theory and algorithms
to enable them to pursue further educational opportunities in Ph.D.
programs in science and engineering at leading academic institutions in
the United States and internationally.
