**Department of Mathematics and Computer Science Home Page **

**Faculty **

**Haiyan Cai,** Associate Professor, Chairperson

Ph.D., University of Maryland

**Raymond Balbes, **Professor Emeritus

Ph.D., University of California, Los Angeles

**Charles Chui, **Curators’ Professor

Ph.D., University of Wisconsin

**William Connett,** Professor Emeritus

Ph.D., University of Chicago

**Richard Friedlander,** Professor, Associate Chairperson

Ph.D., University of California, Los Angeles

**Qingtang Jiang, **Professor

Ph.D., Peking University

**Wayne L. McDaniel,** Professor Emeritus

Ph.D., Saint Louis University

**A Prabhakar Rao.,** Professor,

Ph.D., University of California, Berkeley

**Stephen Selesnick,** Professor Emeritus

Ph.D., University of London

**Jerrold Siegel,** Professor Emeritus

Ph.D., Cornell University

**Grant V. Welland,** Professor Emeritus

Ph.D., Purdue University

**Sanjiv K. Bhatia,** Associate Professor

Ph.D., University of Nebraska-Lincoln

**Uday K. Chakraborty,** Associate Professor

Ph.D., Jadavpur University

**Ronald Dotzel,** Associate Professor

Ph.D., Rutgers University

**Wenjie He,** Associate Professor

Ph.D., University of Georgia

**Cezary Janikow,** Associate Professor

Ph.D., University of North Carolina at Chapel Hill

**Martin Pelikan,** Associate Professor

Ph.D., University of Illinois at Urbana-Champaign

**Frederick Wilke,** Associate Professor Emeritus

Ph.D., University of Missouri-Columbia

**Shiying Zhao,** Associate Professor

Ph.D., University of South Carolina

**Adrian Clingher, **Assistant Professor

Ph.D., Columbia University

**Hyung Woo Kang,** Assistant Professor

Ph.D. KAIST

**John Antognoli,** Teaching Professor

M.A., University of Missouri-St. Louis

**Shahla Peterman,** Teaching Professor

M.S., University of Wisconsin-Madison

**Galina N. Piatnikskaia,** Teaching Professor

Ph.D., Moscow Physical-Technical Institute

**Donald E. Gayou,** Associate Teaching Professor

Ph.D., Iowa State University

**Michael Schulte,** Associate Teaching Professor

M.S., Florida Institute of Technology

**Qiang Sun Dotzel,** Assistant Teaching Professor

M.A., University of Missouri-St. Louis

**Nazire Koc, **Assistant Teaching Professor

M.S., Southern Illinois University, Carbondale

**Emily Ross, **Assistant Teaching Professor

M.A., Saint Louis University

**Jennifer Shrensker,** Lecturer

M.A., Washington University

**Albert Stanger, **Academic Coordinator and Lecturer

M.A., University of Missouri-St. Louis

**Joyce Langguth,** Teaching Associate

B.S. Ed., Southeast Missouri State University

## General Information

**Degrees and Areas of Concentration
**The Department of Mathematics and Computer Science offers work leading to the B.A. in mathematics, the B.S. in mathematics, the B.S. in computer science, and, in cooperation with the College of Education, the B.S.Ed. in secondary education with an emphasis in mathematics. The department also offers minors in computer science, mathematics, and statistics.

At the graduate level, the department offers a Master of Arts (M.A.) degree in mathematics, a Master of Science (M.S.) degree in computer science and a Ph.D. in applied mathematics.

The program leading to the B.A. in mathematics provides a broad grounding in different areas of mathematics, giving students the depth necessary to pursue various aims such as graduate studies or other career choices.

The B.S. in mathematics provides a substantial background in mathematics, statistics and computer science to produce graduates who can work as mathematicians. Both the B.A. and the B.S. in mathematics allow optional courses that enable the student to focus on areas of interest like pure or applied mathematics. Students pursuing the B.A. or the B.S. in mathematics will graduate with analytic and writing skills in mathematics and will have knowledge of content in core areas of the subject. They will have been exposed to applications of mathematics and they will possess critical thinking and quantitative skills.

The B.S.Ed. in secondary education with an emphasis in mathematics introduces students to those branches of mathematics most relevant to the teaching of secondary school mathematics.

The B.S. in computer science prepares students for employment in modern computing technology and careers in computer science. Students pursuing this degree will learn current programming practices and paradigms. They will learn the fundamentals of the supporting areas of mathematics and statistics and they will learn how computer hardware interacts with software. Students will study software development technologies like operating systems and compilers, and will gain knowledge of the theory behind applications like databases and networks.

Students pursuing the M.A. degree in mathematics may choose an emphasis in either pure or applied mathematics. The pure mathematics emphasis is well suited for students preparing to teach at the high school, junior college, or four year liberal arts college level. Those who concentrate on applied courses in the M.A. program build a foundation for the application of mathematics in industry and the continuation of their education in the Ph.D. program in applied mathematics. Our graduates will have abilities in the basic areas of algebra and analysis, and a breadth of knowledge in core subjects at the graduate level. They will study at least one area of mathematics or statistics in depth and will understand some of the contemporary research in applied mathematics and statistics. They will develop the ability to prepare and deliver oral and written presentations and the ability to pursue mathematical knowledge independently.

The M.S. degree in computer science emphasizes practical aspects of the field. Our graduates will develop expertise in at least one modern programming language. They will possess a breadth of knowledge of core areas in computer science, and will develop depth of knowledge in one area of the subject. They will be prepared to independently learn and adapt new technology and they will develop the ability to read current research in some areas. They will have the capability to prepare and deliver oral and written presentations on topics in computer science.

The Ph.D. in applied mathematics prepares students for a leadership role involving research and development in both industrial and academic settings. Students in this program will develop abilities in the basic areas of algebra and analysis and will possess breadth of knowledge in core subjects at the graduate level. They will study at least one area of mathematics or statistics in depth and will understand contemporary research in applied mathematics and statistics. They will develop the ability to prepare and deliver oral and written presentations, and they will possess the ability to pursue and produce mathematical knowledge independently.

Students may enroll in any of these graduate programs on a part-time basis.

## Career Outlook

A degree in mathematics or computer science prepares well-motivated students for interesting careers. Our graduates find positions in industry, government, and education. The demand for individuals well trained in statistics, computer science, and applied mathematics is greater than the available supply. In addition, a number of graduates in mathematics have elected careers in business, law and other related fields where they find logical and analytical skills valuable.

Graduates in computer science and mathematics from UMSL are located throughout the country, and they also have a strong local presence. They have careers in banking, health care, engineering and manufacturing, law, finance, public service, management, and actuarial management. Many are working in areas such as systems management, information systems and data management, scientific computing, and scientific positions in the armed services. Others have careers in education, especially at secondary and higher levels.

**Department Scholarships
**The Department of Mathematics and Computer Science offers four scholarships for students who are majoring in mathematics or computer science.

**The Mathematical Sciences Alumni Scholarship** is a monetary award for outstanding undergraduates at the junior or senior level.

**The Edward Z. Andalafte Memorial Scholarship**** **is a monetary award for outstanding undergraduate students at the sophomore level or higher. Applicants for each of these two scholarships must have a grade point average of 3.5 or higher in at least 24 hours of graded course work at the University of Missouri-St. Louis, and show** **superior achievement in courses in the mathematical sciences.

**The Raymond and Thelma Balbes** **Scholarship** **in Mathematics** is a monetary award for students at the sophomore level or higher who are pursuing a degree in mathematics, have an overall GPA of at least 3.0 and a GPA of at least 3.2 in mathematics and who have completed three semesters of calculus.

**The Joseph M. and** **Mary A. Vogl Scholarship in Mathematics** is a need based monetary award for mathematics majors. Application forms for these scholarships may be obtained from the Department of Mathematics and Computer Science.

The deadline for application for all of these scholarships is March 15, and the scholarships must be used for educational fees or for books at UMSL starting in the fall semester following the application.

## Undergraduate Studies

**General Education Requirements
**All majors must satisfy the university and appropriate school or college general education requirements. All mathematics courses may be used to meet the university’s general education breadth of study requirement in natural sciences and mathematics.

**Satisfactory/Unsatisfactory Restrictions
**Majors in mathematics and computer science may not take mathematical sciences or related area courses on a satisfactory/unsatisfactory basis. Students considering graduate study should consult with their advisers about taking work on a satisfactory/unsatisfactory basis.

**Degree Requirements**

All mathematical sciences courses presented to meet the degree requirements must be completed with a grade of C- or better. At least four courses numbered 3000 or above must be taken in residence. Students must have a 2.0 grade point average in the mathematical sciences courses completed.

Students enrolling in introductory mathematics courses should check the prerequisites to determine if a satisfactory score on the Mathematics Placement Test is necessary. The dates on which this test is administered are given on the department’s website. Placement into introductory courses assumes a mastery of two years of high school algebra.

A minimum grade of C- is required to meet the prerequisite requirement for any course except with permission of the department.

Note: Courses that are prerequisites for higher-level courses may not be taken for credit or quality points if the higher-level course has been satisfactorily completed.

Many students are qualified, as a result of having studied calculus in high school, to begin their major with MATH 1900, Analytic Geometry and Calculus II, or MATH 2000, Analytic Geometry and Calculus III. These students are urged to consult with the department before planning their programs. Credit for MATH 1800, Analytic Geometry and Calculus I, will be granted to those students who complete MATH 1900 with a grade of C- or better.

Similarly, students who are ready to begin their computer science studies with CMP SCI 2250, Programming and Data Structures, will be granted credit for CMP SCI 1250, Introduction to Computing, once they complete CMP SCI 2250 with a grade of C- or better.

## Degree Requirements in Mathematics

All mathematics majors in all undergraduate programs must complete the mathematics core requirements.

**Core Requirements
**1) The following courses are required:

**1250,**Introduction to Computing

**1320,**Applied Statistics I

**1800,**Analytic Geometry and Calculus I

**1900,**Analytic Geometry and Calculus II

**2000,**Analytic Geometry and Calculus III

**2020,**Introduction to Differential Equations

**2450,**Elementary Linear Algebra

**3000,**Discrete Structures

**4100,**Real Analysis I

2) The related area requirements as described below must be satisfied.

Students seeking a double degree, either within this department or with another department, do not have to fulfill the related area requirements.

**Bachelor of Arts in Mathematics.
**In addition to the core requirements and the College of Arts and Sciences' foreign language requirement, three mathematics courses at the 4000 level or higher must be completed. Of these, one must be

**4400,**Introduction to Abstract Algebra

** ****B.S.Ed. in Secondary Education with emphasis in mathematics.
**In addition to the core requirements and the required education courses, three mathematics/statistics courses at the 4000 level or higher must be completed. Of these, one must be

**4400,**Introduction to Abstract Algebra, and one must be chosen from:

**4660,**Foundations of Geometry

**or**

**4670,**Introduction to Non-Euclidean Geometry

**Bachelor of Science in Mathematics
**In addition to the core requirements, the B.S. in Mathematics degree requires:

1) Completing all of the following:

**4160, ** Complex Analysis I

**4400, **Introduction to Abstract Algebra

**4450, **Linear Algebra

2) Completing an additional three courses numbered above 4000 in mathematics, statistics or computer science, at least one of which must be in mathematics/statistics.

## Degree Requirements in Computer Science

Candidates for the **Bachelor of Science in Computer ****Science ** degree must complete the following work:

**1) Computer Science **

**1250,** Introduction to Computing

**2250,** Programming and Data Structures

**2260, **Object-Oriented Programming with C++

**2700,** Computer Systems: Architecture and Organization

**2710,** Computer Systems: Programming

**2750,** Advanced Programming with Unix

**3000,** Discrete Structures

**3130,** Design and Analysis of Algorithms

**4250,** Programming Languages

**4280,** Program Translation Techniques

**4760,** Operating Systems

**2) Mathematics and Statistics **

**1320, ** Applied Statistics I

**1800,** Analytic Geometry and Calculus I

**1900,** Analytic Geometry and Calculus II

**2000,** Analytic Geometry and Calculus III

**2450,** Elementary Linear Algebra

**3) Philosophy **

**4458,** Ethics and the Computer

**4) **Five more elective courses, numbered above 3000 if in computer science, and above 2010 if in mathematics or statistics. At least three of these elective courses must be in computer science, and at least one must be in mathematics or statistics.

**5) ** Satisfy the related area requirements as described below.

**Related Area Requirements
**Candidates for the B.A. in Mathematics must satisfy the requirements in one of the groups below with a grade of C- or better. Candidates for the B.S.Ed. in Mathematics, B.S. in Mathematics and B.S. in Computer Science must satisfy the requirements in two of the groups below with a grade of C- or better.

Candidates for the B.S. in Computer Science may not choose group 1. Candidates for the B.A. in Mathematics, B.S.Ed. in Mathematics, or B.S. in Mathematics may not choose group 2 or 3. If candidates for any of these three latter degrees choose group 4, then they cannot apply either of the two courses listed in that group towards the additional 4000 level mathematics courses (beyond the core requirements) that must be completed for each of these degrees.

Students seeking a double degree, either within this department or with another department, do not have to fulfill the related area requirements.

## Related Area Courses

**1) Computer Science:
**Two courses from the following list:

**2250,**Programming and Data Structures

**2700,**Computer Systems: Architecture and Organization

**3130,**Design and Analysis of Algorithms

**4140,**Theory of Computation

**4410,**Computer Graphics

**4440,**Digital Image Processing

**2) Mathematics (Analysis):
**Two courses from the following list:

**2020,**Introduction to Differential Equations

**4030,**Applied Mathematics I

**4100,**Real Analysis I

**4160,**Complex Analysis I

**4230,**Numerical Analysis I

**3) Mathematics (Algebra):
**Two courses from the following list:

**4350,**Theory of Numbers

**4400,**Introduction to Abstract Algebra

**4450,**Linear Algebra

**4550,**Combinatorics

**4) Statistics: **

**4200, **Mathematical Statistics I

**4210, **Mathematical Statistics II

**5) Biology: **

**2102, **General Ecology

**2103, **General Ecology Laboratory

**6) Biology: **

**2012, **Genetics

**4182, **Population Biology

**7) Chemistry: **

**1111, **Introductory Chemistry I

**1121, ** Introductory to Chemistry II

**8) Chemistry: **

**3312, **Physical Chemistry I

**and ** another 3000-level, or above, chemistry course

**9) Economics:
**

**1001,**Principles of Microeconomics

**1002,**Principles of Macroeconomics

**4100,**Introduction to Econometrics

**10) Philosophy: **

**3360,** Formal Logic

**3380,** Philosophy of Science

**4460,** Advanced Formal Logic

**11) Physics: **

**2111,** Physics: Mechanics and Heat

**2112,** Physics: Electricity, Magnetism, and Optics

**12) Physics:
**

**3221,**Mechanics

**and**another 3000 level, or above, physics course

**13) Business Administration: **

**3320,** Introduction to Operations Management

**and ** one of the following courses:

**4312,** Business Forecasting

**4324,** Production and Operations Management- Service Systems

**4326,** Quality Assurance in Business

**4330,** Production and Operations Management - Logistics

**4350,** Operations Research

** **

**14) Engineering: **

**2310,** Statics

**2320,** Dynamics

**Minor Requirements
**The department offers minors in computer science, mathematics, and statistics. All courses presented for any of these minors must be completed with a grade of C- or better.

**Minor in Computer Science
**The requirements for the minor are:

**1250,**Introduction to Computing

**2250,**Programming and Data Structures

**2700,**Computer Systems: Architecture and Organization

**and ****two additional ****computer science courses ** numbered above 2700 with the exception of CS 3000.

A minimum of two computer science courses numbered above 2700 must be taken in residence in the Department of Mathematics and Computer Science at UMSL.

**Minor in Mathematics
**The requirements for the minor are:

**1800,**Analytic Geometry and Calculus I

**1900,**Analytic Geometry and Calculus II

**2000,**Analytic Geometry and Calculus III

**and two additional three-hour mathematics courses**numbered above 2400, excluding 2510. A minimum of two mathematics courses numbered 2000 or above must be taken in residence in the Department of Mathematics and Computer Science at UMSL.

**Minor in Statistics
**The requirements for the minor are:

**1320,**Applied Statistics I

**4200,**Mathematical Statistics I

**and two additional courses in statistics**numbered above 4200. A minimum of two statistics courses numbered above 2000 must be taken in residence in the Department of Mathematics and Computer Science at UMSL.

## Graduate Studies

The Department of Mathematics and Computer Science offers an M.A. degree in mathematics, a Ph.D. degree in applied mathematics, and an M.S. degree in computer science.

**Admission
**Applicants must meet the general admission requirements of the Graduate School, described elsewhere in this

*Bulletin*. Additional admission requirements for specific programs are listed below.

**Mathematics Programs
**Applicants must have at least a bachelor's degree in mathematics or in a field with significant mathematical content. Examples of such fields include computer science, economics, engineering and physics. An applicant’s record should demonstrate superior achievement in undergraduate mathematics.

Individuals may apply for direct admission to either the M.A. or Ph.D. program. Candidates for the M.A. degree may choose to concentrate in either **pure** or **applied** mathematics. A student in the M.A. program may petition the department for transfer to the Ph.D. program upon successful completion of 15 credit hours and fulfillment of additional requirements as listed below.

Students intending to enter the Ph.D. program must have a working ability in modern programming technologies. A student with a deficiency in this area may be required to take courses at the undergraduate level in computer science.

Applicants for the Ph.D. program must, in addition, submit three letters of recommendation and scores from the Graduate Record Examination (GRE) general aptitude test.

**Computer Science Program
**Applicants to the Graduate Program in Computer Science must meet the general graduate admission requirements of the Graduate School, described in the UMSL

*Bulletin*. Students seeking admission to the program must formally apply for admission to the Graduate School either online or by traditional means. Additional requirements are listed below.

Applicants must have at least a bachelor’s degree, preferably in computer science or in a related area. Applicants with bachelor’s degrees outside of computer science must demonstrate significant proficiency in computer science, either by taking the GRE subject area examinations or by explicitly showing competence in the following areas:

- C programming (CMP SCI 1250 and CMP SCI 2250).
- An object oriented programming language (C++ or Java) (CMP SCI 2260).
- A course in data structures (CMP SCI 2250).
- A course in assembly language programming, computer architecture, or computer organization (CMP SCI 2700).
- A course in design and analysis of algorithms (CMP SCI 3130).
- Programming with Unix, including shell scripts and tools (CMP SCI 2750).

Students must also have satisfactorily completed mathematics courses equivalent to the following UMSL courses:

- Two semesters of calculus (MATH 1800 and 1900).
- A course in elementary linear algebra (MATH 2450).
- A course in discrete mathematics (MATH 3000).
- An elementary course in probability or statistics (MATH 1320).

A student missing some of the above requirements may be admitted on restricted status if there is strong supportive evidence in other areas. The student will have to take the missing courses, or demonstrate proficiency to the satisfaction of the Graduate Director. Special regulations of the Graduate School that apply to students on restricted status are described elsewhere in this *Bulletin*.

**Preliminary Advisement
**Incoming students are assigned advisers with whom they should consult before each registration period to determine an appropriate course of study. If necessary, students may be required to complete undergraduate course work without receiving graduate credit.

## Degree Requirements

**Master of Arts in Mathematics
**Candidates for the M.A. degree must complete 30 hours of course work. All courses numbered below 5000 must be completed with grades of at least B. The courses taken must include those listed below in group A together with additional courses discussed in B.

Students who have already completed courses equivalent to those in A) may substitute other courses numbered above 4000. All substitutions of courses for those listed in A) require the prior approval of the graduate director.

**A) Mathematics core:
**

**4100,**Real Analysis I

**4160,**Complex Analysis I

**4450,**Linear Algebra

**B) **M.A. candidates must also complete 15 hours of course work numbered 5000 or above, chosen with the prior approval of the graduate director. Courses may be chosen to develop expertise in either pure or applied mathematics.

**Thesis Option **Part of B) may consist of an M.A. thesis written under the direction of a faculty member in the Department of Mathematics and Computer Science. A thesis is not, however, required for this degree. A student who wishes to write a thesis should enroll in 6 hours of Math 6900, M.A. Thesis. Students writing an M.A. thesis must defend their thesis in an oral exam administered by a committee of three department members which includes the thesis director.

**Doctor of Philosophy in Applied Mathematics
**The program has two options:

**1) Mathematics Option**

**2) Computer Science Option**

The requirements for the Ph.D. degree include the following:

**1. ** Course work

**2. ** Ph.D. candidacy

**3. ** Doctoral dissertation

The requirements are described in detail below.

**1. Course Work
**A minimum of 60 hours of courses numbered 4000 or above.

In the **Mathematics Option**, at least 33 hours must be in courses numbered 5000 or above.

In the **Computer Science Option**, at least 45 hours must be in courses numbered 5000 or above.

At most 9 hours of a student’s enrollment in MATH 7990 (Dissertation Research) may be counted. Students are expected to maintain a 3.0 average on a 4.0 scale. All courses numbered below 5000 must be completed with a grade of at least B. Courses outside the Department of Mathematics and Computer Science will require approval of the graduate director.

When students who have earned a Master’s degree are admitted to the doctoral program, appropriate credits of course work may be applied toward meeting the requirements for the doctoral degree, subject to Graduate School regulations and the approval of the graduate director. The same applied to those with some appropriate graduate credits but without a completed Master’s degree.

**2. Ph.D. Candidacy
**Advancement to Ph.D. candidacy is a three-step process consisting of:

A)
Completing 18 hours of 5000 level courses other than MATH 7990, Ph.D. Dissertation Research.

B) Passing the comprehensive examination.

C)
Selecting a Ph.D. committee and preparing a dissertation proposal and defense of the proposal.

**Qualifying Examination**

A student must fulfill the following requirements.

**Basic Requirement
**Pass one written examination covering fundamental topics. This examination would normally take place within the first 12 credit hours of study after admission to the Ph.D. program.

**Mathematics Option:
**Topics from real analysis, complex analysis, and linear algebra (MATH 4100, 4160, 4450).

**Computer Science Option: **

Topics from the theory of programming languages, operating systems, analysis of algorithms, and computer systems (CMP SCI 4250, 4760, 5130, 5700).

**Additional Requirement
**After fulfilling the basic requirement above, the student must meet one of the following:

a. Pass a written examination in an area of the student’s interests. This area will be approved by the graduate committee and will be based on a set of two or more graduate courses taken by the student. This examination would normally take place within the first 24 credit hours of study after admission to the Ph.D. program.

b. Write a survey paper in a specialized area under the direction of a member of the graduate faculty. The student should propose to take this option when he/she has already finished at least 2 graduate level courses and has the approval of the graduate committee. The paper should be submitted within four semesters, at which time an oral examination given by a committee of at least three members of the graduate faculty must be passed.

In both parts a) and b), the graduate committee will determine if the topics are consistent with the option that the student is pursuing.

**Dissertation Committee and Dissertation Proposal**

After completing the comprehensive examinations, each student chooses a dissertation advisor and prepares a Dissertation Proposal. Usually students choose an advisor from contacts made through their course work. The dissertation committee will be formed, and the student will meet with this committee for an oral defense of his/her dissertation proposal. The dissertation proposal is a substantial document describing the problem to be worked on and the methods to be used, as well as demonstrating the student’s proficiency in written communication.

**Doctoral Dissertation**

Each Ph.D. candidate must write a dissertation which is an original contribution to the field on a topic approved by the candidate’s Ph.D. Committee and the department, and which meets the standards and requirements set by the Graduate School including the public defense of the dissertation. Students working on a dissertation may enroll in MATH 7990, Ph.D. Dissertation Research. A maximum of 9 hours in MATH 7990 can be used toward the required hours of work in courses numbered 5000 or above.

**Master of Science in Computer Science**

Candidates for the M.S. degree in Computer Science must complete 30 hours of course work, subject to the Graduate School regulations. Of these, at least 18 hours must be numbered 5000 or above, with at least one course numbered 6000 or above, chosen with the prior approval of the Graduate Director. All courses numbered below 5000 must be completed with grades of at least B-. Outside computer science, up to 6 hours of related course work is allowed upon permission of the Graduate Director.

Students must satisfy all of the following core requirements:

- Operating Systems, CMP SCI 4760
- Programming Languages, CMP SCI 4250
- Computer Systems, CS 5700
- Software Engineering, CS 5500
- Advanced Data Structures and Algorithms, CS 5130

Waiving or substituting for a specific requirement can be done on the basis of prior course work or experience at the discretion of the Graduate Director, but it will not reduce the total hours required for the degree.

Additionally, students must attend at least five different seminars or colloquium presentations in the department.

**Thesis Option
**Students may choose to write an M.S. thesis under the direction of a faculty member in the Department of Mathematics and Computer Science. A thesis is not, however, required for this degree. A student who wishes to write a thesis should enroll in 6 hours of CS 6900, Thesis. Students writing an M.S. thesis must defend their thesis in an oral exam administered by a committee of three department members which includes the thesis director.

**Financial Assistance**

Any student who intends to apply for financial assistance, in the form of a teaching assistantship or a research assistantship, is required to have three letters of recommendation submitted with the application to the graduate program in Mathematics or Computer Science. The application must include scores on the GRE general aptitude test. Applicants are also encouraged to submit scores in the GRE subject area test in Mathematics or Computer Science. Applications for financial assistance should be submitted before February 15 prior to the academic year in which the student expects to begin graduate study. Notifications of awards are generally made March 15, and students awarded financial assistance are expected to return letters of acceptance by April 15.

**Career Outlook **

Graduates from the Department of Mathematics and Computer Science have little difficulty in finding positions in industry, government, and education. The demand for individuals well-trained in statistics, computer science, and applied mathematics is greater than the available supply. In addition, a number of graduates in mathematics have elected careers in business and other related fields where they have found their logical and analytical skills to be well-rewarded.