There are, nonetheless, opportunities for specialization in Applied Mathematics which carry with them additional requirements that every student must satisfy in order to be a Student or Graduate of the Applied Mathematics Program. These requirements are not extra burdens; rather, we enforce a more structured program with specific "mileposts" for progress. The reasoning behind our structure is that applied mathematics requires expertise beyond the usual Mathematics Graduate track. One clear example is the development of connections between mathematics and science, computer science, engineering, or medical science. These career skills and education do not happen without a structured plan.

Recommended prerequisites and undergraduate courses (not requirements):

• ordinary differential equations
• a first course in partial differential equations
• an introduction to complex variables
• an undergrad course in real analysis
• linear algebra, preferably with Matlab
• some programming experience

This list is rather large, and first year graduate students typically enter having taken some portion (but not all) of these courses.

• The candidate should have an Applied Mathematics Faculty Adviser. Co-advisers are strongly recommended, which may be chosen from tenure-track faculty anywhere in the University. Interdisciplinary co-advisers are highly recommended.
• Students must take it upon themselves to develop programming skills. The Core courses Math 191 and Math 192, Scientific Computation, are highly recommended for this purpose.