The Master’s degree in Computer Science with a concentration in Scientific Computing is designed to prepare students for careers in data-intensive scienceengineering, or finance fields. The program provides a strong foundation in algorithms and programming relevant to current and emerging computational applications.

Through rigorous coursework and an optional project or thesis, students will develop theoretical understanding and practical skills to tackle diverse computational problems in industry and academia, such as big-data analytics, modeling proteins for drug discovery, mining massive internet transaction datasets for business decision support systems and forecasting ecosystem behavior for sustainable management. They will also be prepared for career opportunities in companies and organizations where scientific computing and data science play an important enabling role, for example, in biotechnology, telecommunications, finance, and scientific research.

Application Requirements

  • Official transcripts showing a bachelor’s degree with a minimum GPA of 3.0 and a firm foundation in linear algebra and multivariable calculus. A bachelor’s degree in a basic science or engineering field is preferred but not required.
  • GRE scores
  • At least two letters of recommendations, preferably from academic references
  • Personal statement (maximum two pages) about academic interests and career goals
  • For applicants whose native language is not English, official TOEFL score report

Application Deadlines

Spring 2022 Priority Deadline: December 1st
Fall 2021 deadline has been extended to: May 15th

Degree Requirements

30 total credits

  • Core courses (four courses, 12 credits)
  • Elective courses (four courses, 12 credits)
    Thesis (six credits)
  • For students whose background is not computer science, an additional two background courses are available.

Graduate Faculty

Visit the Computer Science Graduate Faculty Listing.

Contact the Department

Dr. Sunil Shende
(856) 225-6122
227 Penn St, Rm 308

Program Website

Visit the Department of Computer Science website.