[PDF] An overview of graduate programs in the mathematical sciences at




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An overview of graduate programs in the

mathematical sciences at Arizona

Department of Mathematics

Program in Applied Mathematics

University of Arizona

Overview

Degrees

Details of PhD programs

Funding

Inputs

Outputs

Degrees

3 closely related PhD programs:

Math (Math dept)

Math education (Math dept)

Applied Math (GIDP in Applied Math)

• (Stats coming soon) •

Several MS/MA/MS-MBA/PSM programs

Overall structure of our PhD programs

First year: rigorous fixed core curriculum

ending with qualifying exams •

Years 2 and 3: advanced course work,

research tutorial group, seminar attendance leading to comprehensive (oral and written) exam •

Years 4 and 5: dissertation research and

writing

Core curriculum

In Math:

Algebra (Lang or Rotman)

Analysis (Folland, Royden, or Faris notes)

Topology-Geometry (Lee + Massey)

Core curriculum

In Applied Math:

Analysis (Flaschka notes)

Methods (Tabor & Faris notes)

Numerical Analysis (Trefethen)

Additional first-year support

In Math: pre-first year "integration

workshop" reviews material, builds relationships •

In Applied Math: first-year, lab-based

professional skills course builds communication, data analysis skills •

Both programs offer term paper options in

core courses: another way for students to show their capabilities

Qual outcomes

High pass or PhD pass => on to advanced

coursework •

Pass or MS pass => in Math, write MS

thesis, possible re-entry PhD program. In

Applied Math, terminal MS

Qual evaluation looks at all available info:

RTG, term papers, etc.

Research tutorial group

In both programs, an early research

experience individually or in small teams •

3 units of credit

Output is a paper and a short talk

Main work is in the Fall of the second year

Advanced coursework

• There is a broad array of "post-core'' courses: algebraic geometry, complex analysis, differential geometry, dynamical systems, functional analysis, Lie groups, mathematical physics, number theory, ODEs, PDEs, probability, statistics, stochastic processes • Post-core students participate in the roughly 12 weekly seminars •

Students from both programs share many courses

• Math students take at least 2 outside courses, Applied

Math students take 3-6

Later years

Oral comp exam, usually in 3rd year

Dissertation research and writing

Most Math students have advisors from

math •

About 1/2 of Applied Math students have

advisors from other units (20 departments across campus) •

Average time to degree: 5-6 years

Professional development

Extensive teacher training and supervision

Opportunities to teach from trig through

linear algebra and multivariable calculus •

Peer-mentoring/tutoring: super-TA, URA

projects, summer program, HS workshops •

Internship opportunities (LANL, IBM, ...)

Computing and communication skills built

into program requirements

Variations

2-year core: students with less background are offered

the chance to complete the core in two years. They might take "dual-numbered" (undergrad) course to fill in background • MS degree: the Math program has the possibility for students with weaker qual performance to continue in PhD after writing an MS thesis. Applied Math gives a terminal, non-thesis MS. • Math Ed: These students must pass the math quals (!), then continue with research in math education • Essentially all students are funded. Most funding comes from Teaching Assistantships, Research Assistantships (from individual investigator grants), VIGRE and other training grants • TA requires teach 9 hours per year (with full responsibility for classes of ~30) •

RA duties vary with sponsor

• VIGRE funding is awarded to a few first-year students and via a proposal system. VIGRE fellows must have a professional development activity

Funding

• Math: • Accept 10-12 per year. Currently have 50 students, of which 5 MS, 3-4 Math Ed. Want more. •

35 US, 15 foreign. 34 male, 16 female. Of 35 US,

currently only 2 are underrepresented minorities •

Applied Math:

• Accept 8-10 per year. Currently have 41 students. •

31 US, 10 foreign. 22 male, 19 female. Of 31 US,

currently 7 are underrepresented minorities

Inputs: statistics

Coursework: solid background comparable to our

comprehensive option: • Full year of algebra (Gallian) and analysis (baby Rudin) • Ideally also complex (C&B, Marsden) and advanced linear algebra (FI&S, Strang) •

Some independent work: REU, senior thesis, ...

• Test scores: no cut off, but useful in normalizing grades from schools we are not acquainted with yet. •

Evidence of maturity in statement

Inputs: ideal candidates (Math)

• BS or MS in mathematics, physical, and engineering sciences, or with double major in math and another field •

Course work - strong record in at least 2 of:

• analysis (Fitzpatrick, Wade) • methods (Kreyszig) • computational science (Matlab and Mathematica) •

Some undergraduate research experience

Evidence of interdisciplinary interests

Inputs: ideal candidates (Applied Math)

Outputs

1/2 to 2/3 of admitted students get a PhD. Recent years at

high end. •

Placement:

• academia: Tenure track (Res 1, MS, and Bachelors), Post- docs (universities and institutes). 2/3 of graduates • labs (LANL, Sandia, LBL), government (FDA, EPA, NSA), • industry (Entelos, Honeywell, Samsung, Premera Blue

Cross, Rincon Research, Raytheon, IBM)


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