PhD Computational Science, Engineering, and Mathematics at University of Texas at Austin

Programme overview

Graduate study in computational science, engineering, and mathematics comprises three areas: (1) applicable mathematics, (2) numerical analysis and scientific computation, and (3) mathematical modeling and applications. Within these broad areas, the student may take courses in applied mathematics and statistics, data science, numerical analysis and scientific computing, computational mechanics and physics, parallel computing and computer architecture, and mathematical modeling, and in supporting areas in science and engineering that involve mathematical modeling of physical, biological, social, or engineered systems.

Faculty: Intercollegial Programs | Duration: 30 semester credit hours | Study mode: full-time | Location: Austin, TX, United States

What you will study

The programme requires 30 semester credit hours. Each student develops a program of study that includes a substantial component in each of three areas of concentration: applicable mathematics, numerical analysis and scientific computation, and mathematical modeling for applications in a science or engineering discipline. The program must be reviewed and approved by the Graduate Studies Committee.

Official programme page

Application information

Entry requirements

Graduate admission (applies to the programme): Students entering the program are expected to have an undergraduate degree in engineering, computer sciences, mathematics, or a natural science such as biology, physics, chemistry, or geology.

Tuition is charged per credit, so the total depends on the modules you register for each year. Current fees are listed in the official fee schedule.

Graduate application fees: $65 for U.S. graduate applicants and $90 for international graduate applicants. Each graduate program sets its own application deadline.

Apply through the official page: https://gradschool.utexas.edu/admissions/apply

Engineering