Department of Mathematical Sciences
Northern Illinois University

Graduate Programs in the Mathematical Sciences

The Department of Mathematical Sciences offers the Master of Science degree in Mathematics with specialization in Pure Mathematics, Mathematics Education, Applied Mathematics, Computational Mathematics; the Master of Science degree in Teaching; the Master of Science degree in Applied Probability and Statistics; and the Doctor of Philosophy degree in Mathematical Sciences with four different core-course choices. The requirements for each degree are described in the latest Graduate catalog. This document is to give you some additional information on our master's program in mathematics and our doctoral program in mathematical sciences.

Sample Ph.D. Study Plans  |   Financial Support   |   The Transition to Graduate Study


Ph.D. in Mathematical Sciences:

Students who enter the doctoral program with a master's degree, or with a very strong undergraduate background, may be able to complete the doctoral program in 4 years of full-time study. This cannot be guaranteed, since it depends crucially on the student's progress in research and in writing a dissertation. Extended time schedules may be designed for part-time students.

Doctoral students focus their work by choosing one of three options for four of their eight required core courses as described in the Graduate Catalog. Core group A is for students who will work toward a dissertation in an area of mathematics (pure, applied, or computational), core group B is for students who will pursue research in mathematics education, and core group C is for students who will pursue research in statistics. Note that the degree requirements involve a significant amount of mathematics, regardless of which core group is chosen.

While a high degree of focus and depth is necessary for the preparation of a doctoral dissertation, our doctoral students receive significant breadth of exposure as well. For example, all doctoral students develop a significant application of the computer to their area of research. Doctoral students also complete an Applications Involvement Component (AIC), which is described below. Graduates from our doctoral program obtain a perspective of the mathematical sciences as an integrated whole. The required combination of course work, experience, and research enables a graduate of the program to pursue a careerin either academic or non-academic settings.


The Applications Involvement Component in the Ph.D. Program:

The design of our doctoral program recognizes the need for new Ph.D. recipients to be exposed to mathematics in non-academic settings by requiring that all doctoral students complete the Applications Involvement Component (AIC) of our Ph.D. degree.

Typically a student's AIC has three parts. In the first, doctoral students attend the AIC colloquia, where speakers external to our department present accounts of how mathematics is used outside of mathematics departments. The external speakers come from industry, government, and education, and are chosen to present a diverse collection of case studies and viewpoints.

The second part of the AIC experience requires each student to undertake an internship in industry, government, or education. Internships usually take place during one of the summers and are arranged by the department's AIC director in consultation with the student. Some of the organizations with which interns have been placed are listed below.

  • Abbott Research Laboratory
  • Allied Signal
  • Ames Research Laboratory
  • Argonne National Laboratory
  • AT&T Bell Labs (Murray Hill, New Jersey)
  • Boeing Computer Services
  • Cray Research Corporation
  • DeKalb Genetics
  • General Electric
  • General Motors
  • IBM (Watson Research Center)
  • Motorola
  • NASA (Langely)
  • Numerical Algorithms Group
  • Oak Ridge National Laboratory
  • United Aircraft
  • Wolfram Research
  • Wright Patterson Air Force Laboratory

The third part of the AIC requires each student to give a talk about her/his experience and research results obtained in the internship.

Ph. D. requirements in Graduate Catalog  |   Sample Ph.D. Study Plans


The Transition to Graduate Study

An advantage of our program is that it offers a variety of transitional courses to bridge the gap between undergraduate work and graduate-level courses. Working closely with graduate advisers, this allows you to plan the early part of your graduate career in a way that is appropriate for your ability and background. Here is a brief description of some of the transitional courses we offer in various areas. Also refer to the course descriptions given in the Graduate Catalog.

Algebra:  If you have already had a one-year sequence of courses in abstract algebra (proof-oriented courses on groups, rings, and fields), then you are probably ready for the initial graduate algebra sequence, MATH 620 and 621. If not, then you may want to start with MATH 520 and 521, transitional courses which discuss groups, rings, and fields, and allow you to develop your skills at writing correct proofs. There is another transitional course, MATH 523, a second course in linear algebra. Perhaps your first linear algebra course was taken as a sophomore and focused on matrix theory. The second course is more theoretical, and provides important background for subsequent graduate courses in virtually all areas of mathematics.

Analysis:  If you have already had a one-year sequence of courses in advanced calculus (including differentiation and integration of functions of several variables), with lots of attention paid to writing your own proofs, then you are probably ready for the initial graduate analysis courses, MATH 630 and MATH 632. If not, then you may want to start with MATH 530 and 531, transitional courses in advanced calculus which will give you lots of practice at writing proofs, as well as exposure to the important techniques of the area. MATH 532 (Advanced Calculus III) also fits in this category; it is intended as preparation for MATH 642 (Partial Differential Equations).

Differential Equations:  You have probably had one course in differential equations as an undergraduate, perhaps with a primary focus on techniques. If not, you should consider taking the NIU course MATH 336. This is a sub-transitional course (an undergraduate course) and would not carry graduate credit. The initial graduate courses are MATH 636 (ordinary differential equations) and MATH 642 (partial differential equations). Before taking MATH 642, it is recommended that you have appropriate background in line integrals, surface integrals, and Fourier series. This is provided by another transitional course, MATH 532 (Advanced Calculus III).

Mathematics Education:  Graduate students who are also seeking certification to teach at the middle and secondary school level, in addition to a graduate degree, can be accommodated through courses in methods of teaching (MATH 610 and MATH 612) and the student teaching experience.

Numerical Analysis:  If you have never written and debugged your own programs in a high-level programming language such as FORTRAN or C, you may wish to take a programming class such as Computer Science 230, which is sub-transitional and does not carry graduate credit, before taking your first numerical analysis class. However, graduate mathematics students who have some programming experience will receive little benefit by taking this course.

Our introductory numerical analysis courses are MATH 534 (numerical linear algebra), MATH 535 (a survey of approximation techniques, numerical integration, and numerical solution of differential equations), and MATH 662 (numerical analysis). These courses involve programming in FORTRAN (or `C'), and they provide an introduction to theoretical issues in numerical analysis.

MATH 662 is an introductory numerical analysis class, and is required for all doctoral students. This course covers many of the same topics as MATH 534 and MATH 535, but from a more advanced mathematical perspective. Doctoral students who desire a transition to MATH 662 can take MATH 534 or MATH 535, but not both of these. (Students may receive credit for only two of MATH 534, MATH 535, and MATH 662). After completing MATH 662, or MATH 534 and MATH 535, students are ready to take subsequent graduate courses in numerical analysis: MATH 664 (numerical linear algebra), and MATH 666 (numerical differential equations).

In the related area of optimization theory, the course MATH 544 (linear programming) is sub-transitional, and does not carry graduate credit. The first graduate course in this area is MATH 668 (nonlinear programming).

Topology:  The transitional course is MATH 550, which should be taken after a theoretical course in advanced calculus (such as MATH 530). MATH 550 is almost entirely a course in point-set topology. The initial graduate course is MATH 650, which discusses algebraic as well as point-set topology. MATH 521 is also a prerequisite for MATH 650. Because of the algebraic nature of MATH 650, students may benefit by also taking MATH 620 before taking MATH 650.

The transitional courses described above can be very helpful in facilitating a smooth entry into our program. Keep in mind, however, that a decision to begin at the transitional level will probably delay the completion of your program. If your background has prepared you for the basic graduate courses (this is something your adviser can help you to measure), then you should go ahead and take them.

Examples of Programs of Study. Sample M.S. Study Plans and Sample Ph.D. Study Plans provide examples of programs of study in the 4 specializations for the M.S. in mathematics (10 courses, 30 hours) and the Ph.D. in mathematical sciences (90 hours). Many other combinations of courses are possible. Your adviser will have up-to-date information on the semesters when particular courses are normally offered.


For additonal information on our M.S. program in mathematics, our Ph.D. program in mathematical sciences, and financial support for students in these degree programs, please contact:
Professor Zhuan (John) Ye
Director of Graduate Studies
Department of Mathematical Sciences
Northern Illinois University
DeKalb, IL 60115
(815) 753-6775
gradprog@math.niu.edu or visit the graduate program web page.

Students interested in doing graduate work in statistics should contact the Division of Statistics for information about their program. The Division of Statistics also has its own budget for graduate assistantships; contact the Director of the Division for details.


Director of Graduate Studies: Dr. Zhuan (John) Ye
Email: gradprog@math.niu.edu
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Last modified: 08/1/2010 (zjy)