Mathematics and Statistics
- Application Deadlines
- Application Requirements
- Contact Information
- Curriculum
- Degree Program (M.S.)
- Faculty
- Overview
Overview
The Department of Mathematics and Statistics offers a flexible course of study leading to an M.S. degree. Typical offerings include courses in pure and applied mathematics, statistics, biostatistics and financial mathematics. The graduate program leads to careers in industry, consulting, teaching or further graduate education, whether in mathematics or another discipline. A mathematics degree is excellent preparation for professional schools of law, business or medicine, as well as certain graduate school disciplines outside of traditional mathematics, such as economics, finance and engineering.
The department offers a rigorous course of study to introduce students to new modes of inquiry and to deepen their understanding and awareness of fundamental results and applications of mathematics and statistics. Students admitted to the graduate program with backgrounds other than mathematics, such as engineering, chemistry, physics or economics, may be required to complete prerequisite undergraduate courses before embarking upon graduate studies.
Degree Program (M.S.)
The Department of Mathematics and Statistics offers an M.S. degree program. Students are free to design their own course of study and tailor it to their individual interests, as approved by the Graduate Program Director.
Full-time students usually complete the program in three semesters, with a typical course load of three courses each semester.
The following courses (or equivalent) are prerequisites for entering the M.S. Degree Program:
- Calculus I
- Calculus II
- Multivariable Calculus
- Ordinary Differential Equations
- Statistics
- Linear Algebra
- Structured Programming
Students interested in pursuing a specialty in pure mathematics should also have:
- Introduction to Real Analysis I
- Abstract Algebra
- One additional advanced undergraduate math course
Curriculum
Nine courses are required for the M.S. degree program, including a minimum of seven three-credit hour, 400-level graduate courses. At most, two approved undergraduate level courses may be taken. To accommodate part-time students, some classes are offered during the evening and on Saturday.
Faculty
Faculty research interests include analysis, functional analysis, partial differential equations, game theory, mathematical logic and complexity theory, abstract algebra, representation theory, quantum groups, combinatorics, cryptography, algebraic coding theory, probability, finance theory, statistics, control theory and operations research. Faculty members receive recognition for the quality of their research by regularly obtaining competitive grants from agencies such as the National Science Foundation, the Air Force Office of Scientific Research and the National Security Agency.
Faculty members are both passionate about their teaching and dedicated to their research. Students benefit from being in the classroom with both scholars and professionals, learning both the theory and the practical applications of the discipline.
E.N. Barron, Ph.D. (Northwestern University), Professor
Areas of interest: Optimal control theory, non-linear partial differential equations and mathematical finance
Martin Buntinas, Ph.D. (Illinois Institute of Technology), Professor
Areas of interest: Functional analysis, topological sequence space, Fourier series and approximation theory
John Del Greco, Ph.D. (Purdue University), Associate Professor
Areas of interest: Applied graph theory, operations research, network flows and parallel algorithms
Stephen Doty, Ph.D. (University of Notre Dame), Professor
Areas of interest: Representation theory of various algebraic objects, including algebraic groups, quantum groups and finite-dimensional algebras
Gerald Funk, Ph.D. (Michigan State University), Associate Professor
Areas of interest: Statistics, applied probability and computer simulation
Anthony Giaquinto, Ph.D. (University of Pennsylvania), Professor
Areas of interest: Quantum groups, algebraic deformation theory, homological algebra, non-commutative ring theory and Lie theory
Christine Haught, Ph.D. (Cornell University), Associate Professor
Areas of interest: Mathematical logic, recursion theory and complexity theory
William Cary Huffman, Ph.D. (California Institute of Technology), Professor
Areas of interest: Group theory, coding theory and combinatorics
Anne Peters Hupert, Ph.D. (University of Chicago), Associate Professor
Areas of interest: Homological algebra, cohomology of groups and representation theory of algebras
Robert Jensen, Ph.D. (Northwestern University), Professor
Areas of interest: Non-linear partial differential equations with applications to physics, engineering and finance
Richard J. Lucas, Ph.D. (University of Illinois), Professor
Areas of interest: Wave propagation and scattering, plasma physics and electromagnetic theory
Richard J. Maher, Ph.D. (Northwestern University), Associate Professor Areas of interest: Mathematics and curriculum reform
Joseph Mayne, Ph.D. (Illinois Institute of Technology), Associate Professor and Chair
Areas of interest: Ring theory, non-associative algebras and computer algorithms
Anne Leggett McDonald, Ph.D. (Yale University), Associate Professor
Areas of interest: Mathematical logic and recursion theory
Gerard McDonald, Ph.D. (State University of New York at Stony Brook), Associate Professor
Area of interest: Computer graphics
Kathryn Nyman, Ph.D. (Cornell University), Assistant Professor
Areas of interest: Combinatorics and graph theory
Timothy O'Brien, Ph.D. (North Carolina State University), Assistant Professor
Areas of interest: Design of experiments, generalized linear and nonlinear modeling, and computer-intensive methods in statistics
Alan Saleski, Ph.D. (University of California at Berkeley), Associate Professor
Areas of interest: Ergodic theory, measure theory, probability theory and computer algorithms
J. Richard Vandevelde, Ph.D. (University of Chicago), S.J. Associate Professor
Areas of interest: Algebraic topology, programming languages and graph theory
Application Requirements
Applicants to the Mathematics and Statistics degree program generally have an undergraduate GPA of at least 3.0.
- A $50 application fee
- A completed application form. To apply, go to www.luc.edu/gpem
- Official transcripts of all undergraduate and any graduate work
- Scores for the GRE (general examination). This requirement is waived for Loyola undergraduates or applicants with a GPA over 3.5
- Three letters of recommendation (usually from referees familiar with the applicant's academic work)
- A statement of purpose describing academic and research interests, as well as professional goals
- Either a TOEFL or IELTS score report is required for international applicants whose native language is not English. For the TOEFL, a score of at least 213 on the computer-based test or 550 on the written test is required. The minimum score for the new TOEFL iBT (Internet-based test) is 79. For the IELTS, a minimum score of 6.5 is required
- International applicants, or U.S. applicants who completed school abroad, are required to submit non-U.S. transcripts to Educational Credential Evaluators, Inc. (ECE). For more information, contact ECE at 414-289-3400 or visit www.ece.org
Please request a general evaluation report and have the official report sent to Loyola University Chicago, Graduate Enrollment Management, 820 N. Michigan Avenue, Chicago, IL 60611.
Application Deadlines
Fall admission: February 1 (for assistantship applicants) or July 15
Spring admission: December 1
Summer admission: May 1
Applicants with bachelor's degrees from institutions outside the U.S. should apply for the fall semester by June 1, the spring semester by October 1 and the summer semester by March 1.
Deadlines and application requirements are subject to change. Visit www.math.luc.edu for the most up-to-date information.
Contact Information
The application and all supporting documents must be sent to Graduate Enrollment Management at the following address:
Graduate Enrollment Management
Loyola University Chicago
820 N. Michigan Avenue
Chicago, Illinois 60611
Phone: 312.915.8950
E-mail: GradApp@luc.edu
For more information about the academic program, or to arrange a visit, contact:
Department of Mathematics and Statistics
Loyola University Chicago
6525 N. Sheridan Road
Chicago, Illinois 60626
Phone: 773.508.3558
Fax: 773.508.2123
E-mail: info@math.luc.edu
www.math.luc.edu
Graduate Program Director
Phone: 773.508.3556
Department Chair
Phone: 773.508.8520