Computer Science - Scientific Computing MS

Through rigorous coursework and a capstone 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
• 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

The program also aims to provide graduates with a strong foundation in theory and algorithms to pursue further educational opportunities in PhD programs in science and engineering at leading academic institutions in the U.S. and internationally.

Requirements:

Students require a bachelor’s degree with a minimum GPA of 3.0 (B average or equivalent) 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.