The master’s degree in scientific computing is designed to prepare students with rigorous computational training for careers in biotechnology, telecommunications, finance, and scientific research. The program provides 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 U.S. and internationally.
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.
- 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
- Three letters of recommendation
- Personal statement (maximum two pages) about academic interests and career goals
- For applicants whose native language is not English, official TOEFL score report
Due to the COVID-19 Pandemic, the Fall 2020 Priority Deadline is extended to May 15th.
Spring Priority Deadline: November 1st
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.
Contact the Department
Dr. Sunil Shende
227 Penn St, Rm 308