Mathematics

Department Head

Professor Jeffrey Tollefson

Associate Department Head

Professor Maria Gordina

Director of Graduate Studies

Professor Kyu-Hwan Lee

Professors

Choi, DeFranco, Dey, Dunne, Giaccotto, Glaz, Gordina, Gui, Haas, Laubenbacher, Luh, McKenna, Olgac, Olshevsky, Peters, Ravishanker, Russell, Teitelbaum, Teplyaev, Tollefson, Turchin, Vadiveloo, Valdez, Vitale, Weyman

Associate Professors

Ben-Ari, Bridgeman, Cardetti, Conrad, Lee, Leykekhman, Lozano-Robledo, Roby, Rogers, Schiffler, Solomon, Wu, Yan

Assistant Professors

Badger, Chousionis, Connors, Dzhafarov, Gan, Li, Huang, Liang, Mostovyi, Munteanu, Xiao

The Department of Mathematics offers graduate M.S. and Ph.D. degrees. In addition to graduate study in pure and applied mathematics, the Department also offers graduate study in actuarial science and financial mathematics. For admission requirements, which differ slightly for these options, write to the Department of Mathematics at gradadm@math.uconn.edu or see the website www.math.uconn.edu

The M.S. Program

The Mathematics master’s program permits a student to study pure and applied mathematics, including numerical methods, or actuarial science. A professional master’s degree program in Applied Financial Mathematics is also offered. Some coursework can be taken in other departments if desired. The Department recommends that students select Plan B (without thesis). A sound undergraduate major in mathematics, including courses in modern algebra and advanced calculus, normally is required for entrance to the master’s program. It is recommended that entering graduate students applying for financial aid take the GRE Subject Test in Mathematics. Up-to-date information and further details concerning the M.S. program may be obtained by writing directly to the Department of Mathematics at gradm.math@uconn.edu or by visiting the website www.math.uconn.edu

The Ph.D. Program

Advanced study at the Ph.D. level is offered in the areas of Actuarial Science, Algebra and Number Theory, Algebraic Geometry, Analysis, Applied Mathematics, Geometry and Topology, Mathematical Logic, Mathematics Education, Numerical Analysis, Partial Differential Equations, and Probability Theory. Students are admitted to the Ph.D. program only after demonstrating ability and evidence of special aptitude for research in mathematics in their prior work. A minimum of 30 course credits plus 15 doctoral dissertation research credits are required for the Ph.D. (or if you have obtained a UConn MS in Mathematics, you need 15 additional course credits and 15 doctoral dissertation research credits). Students must satisfy the doctoral foreign language requirement of the Graduate School or take 6 credits of advanced work in a related area. Doctoral students also are expected to possess computer skills necessary for mathematics research. During the first two to three years of the students’ coursework, four comprehensive examinations covering the major areas of mathematics must be passed. The Ph.D. dissertation contains results of original research in mathematics and makes a substantial contribution to the field. A student normally writes a dissertation in an area in which the Department has faculty actively engaged in research: actuarial science, analysis, combinatorics, complex analysis, differential and algebraic geometry, functional analysis, harmonic analysis, logic and computability theory, mathematical physics, mathematical biology, mathematics education, number theory, numerical analysis, numerical linear algebra, ordinary and partial differential equations, probability theory and stochastic analysis, representation theory. Up-to-date information and further details concerning the Ph.D. program and faculty research interests may be obtained by writing directly to the Department of Mathematics at gradadm@math.uconn.edu or by visiting the website www.math.uconn.edu

Special Facilities

A weekly colloquium featuring visiting lecturers as well as several area-specific seminars are conducted during the academic year. Additionally, because of the easy access to colloquia and seminars at nearby institutions, there is a good potential for scholarly interaction.

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