The MS in Scientific Computing, offered jointly by the Departments of Mathematics and of Computer Science, provides broad rigorous training in areas of mathematics and computer science related to scientific computing. It aims to prepare people for a technical career in scientific computing or for further study in a field with computing as an essential element.
The program accommodates both full-time and part-time students, with most courses meeting in the evening. Required coursework includes core mathematical and computer science material related to scientific computing. Students choose electives specific to their interest and goals. Specific application areas include mathematical and statistical finance, machine learning/data science, fluid mechanics, finite element methods, and biomedical modeling. The program culminates in a capstone project, which serves to integrate the classroom material.
All applicants to the Graduate School of Arts and Science (GSAS) are required to submit the general application requirements, which include:
- Academic Transcripts
- Test Scores (if required)
- Applicant Statements
- Résumé or Curriculum Vitae
- Letters of Recommendation, and
- A non-refundable application fee.
See Mathematics for admission requirements and instructions specific to this program.