Information for prospective students
- This is a legacy page and it is no longer maintained. For archival purposes only.
PhD program in Applied Mathematics
- The PhD program is affiliated with the Department of Mathematical and Statistical Sciences
- The Graduate handbook contains the description of the program rules.
- See our overall courses information and the course descriptions.
UC Denver is an urban university located in the heart of downtown Denver at the foot of the Rocky Mountains.
Numerical and Computational Mathematics
Current regular faculty in this area are:
- Lynn Bennethum: porous media, modeling, continuum mechanics, numerical PDEs
- Andrew Knyazev: eigenvalue problems and applications, numerical PDEs, data mining: Eigenvalue Project
- Julien Langou: numerical linear algebra and parallel computing: Dense Linear Algebra Software project
- Jan Mandel: data assimilation, wildfire modeling, uncertainty, applied probability: Data assimilation project Wildfire modeling project Spatial epidemiology project
How to apply to the PhD program
How to get a graduate assistantship
- Apply for admission to the PhD program, if possible by the February 1 due date. International students need to send everything to the Office of International Studies (not us) well in advance (best by January 1 or earlier) to allow for additional processing. Late applications will be also considered if positions are still available - we are always looking for great students!
- Indicate in your cover letter that you are applying for a Teaching Assistantship.
- If you have any teaching (or tutoring or grading) experience, it is a good idea to highlight it in your application, have one recommendation from someone familiar with it, and ask them to address it in the recommendation.
- All applications stating interest in Computational Mathematics and resulting in an offer of a Teaching Assistantship are automatically considered for a supplement by the CCM, awarded on a competitive basis.
- Contact one of our faculty who have funded research projects.
Other financial support
- There are many other opportunities for scholarships and support.
How to prepare for the PhD program and Computational Mathematics
If you consider applying to the program in a year or two, here is what you can do to increase your chances at getting an assistantship, shorten your time to graduation, and position yourself for success as a PhD student in Computational Mathematics.
- Take two semesters of Real Analysis (sometimes called Advanced Calculus 1 and 2). These are the classes like calculus that actually do the proofs. Do all you can to get an A in these classes.
- Take some programming classes, or get some other software development experience, or a minor in Computer Science.
- Participate in a research project, preferably involving simulation or numerical computing.
- Get some teaching or tutoring experience.
- Prepare for and take Math GRE.
We are always happy to consider good students without these things, but they sure help.