Rutgers, The State University of New Jersey
Graduate School-Camden
 
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Graduate School-Camden
Actuarial and Statistical Analysis
Applied Computing
Biology 120
Biology, Computational and Integrative 121
Business and Science 137
Chemistry 160
Childhood Studies 163
Computer Science 198
Program
Admission Requirements
Degree Requirements
Scholastic Standing
Graduate Courses
Creative Writing 200
Criminal Justice 202
English 350, 352, 354, 615, 842
History 512
Industrial Mathematics
Liberal Studies 606
Mathematical Sciences 645
Physical Therapy 742
Psychology 830
Public Administration 834, 831
Public Affairs 824
World Languages and Cultures 410
School of Business-Camden
School of Nursing-Camden
School of Social Work: Master of Social Work (M.S.W.) Program
Divisions of the University
Camden Newark New Brunswick/Piscataway
Catalogs
  Camden Graduate Catalog 2016-2018 Graduate School-Camden Computer Science 198 Program  

Program


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 University-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.


 
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