## Master of Science in Mathematics

Admission to the Master of Science in Mathematics program requires a four-year undergraduate degree from an accredited college or university with a satisfactory grade point average. Students will choose to earn the degree with one of the following options:

- General
- Applied and Computational Mathematics
- Probability and Statistics
- Mathematics for Teachers
- Industrial Mathematics Professional Science Master's (this option is not accepting new students)

Each option consist of thirty credit hours (equivalent to 10 three-credit hour courses) with the exception that the Industrial Mathematics PSE Option is a 37 credit program, including a required internship and sequence of PMSA seminars.

Program requirements include both required courses and electives (which may be offered in other departments). Up to six credits at the 400 level may be considered for inclusion in the program of study. In addition, with the permission of the student advisor and the graduate committee, three or six credits may be obtained by completing a thesis. Most courses are offered on a regular basis in the late afternoon and early evening so that all programs can be completed on a part-time basis.

**General Option**

**Core courses:**### Applied and Computational Mathematics Option

The Applied and Computational Mathematics Option focuses on techniques of mathematical modeling and the basic tools needed to investigate problems from both a theoretical and computational viewpoint. This option requires that the undergraduate degree must be in mathematics or a related discipline. Courses range from classical applied to modern applications of mathematical software.

### Probability and Statistics

The Probability and Statistics Option provides the necessary mathematical skills to solve many of the data analysis problems in, industry, science, engineering, and management. Courses range from theory in probability to applied hands-on courses in statistical programming, including R and SAS statistical software.

### Mathematics for Teachers

The Master of Science in Mathematics for Teachers Program aims to give students a balanced combination of theory and practice, to enhance their appreciation and understanding of Mathematics as a science, and to provide them with the tools necessary to instill in their own students an interest in the subject. Three semester of calculus (12 credits) are the prerequisites for this option. Note that this is not a teaching certification program - contact the Graduate School of Education for information about certification.

### Industrial Mathematics Professional Science Master's

**This program is no longer accepting applications.**

**Admission Requirements**

This option requires that the undergraduate degree must be in mathematics or a related discipline. This requirements include.

Degree Requirements - Total Number of Credits: 34

**Required Core Mathematics Courses** - four courses (12 credits)

- MATH.5010 Real Analysis I
- MATH.5090 Introduction to Probability & Statistics
- MATH.5300 Applied Mathematics I
- MATH.5630 Computational Mathematics

**Science Cluster -** (four courses - 12 credits) **- One cluster of 12 credits from the following.**

**Algorithms Cluster**

- MATH.5800 Discrete Math for Science and Engineering
- COMP.5030 Algorithms
- COMP.5040 Advanced Algorithms: Computational Geometry
- COMP.5440 Machine Learning and Data Mining

**Random Processes Cluster**

- MATH.5840 Stochastic Processes
- EECE.5090 Linear Systems Analysis
- EECE.5480 Coding and Information Theory
- EECE.5840 Probability and Random Processes

**Physics Cluster**

- MATH.5330 Mathematical Methods of Quantum Mechanics
- PHYS.5350 Introductory Quantum Mechanics I
- PHYS.5530 Electromagnetism I
- PHYS.5540 Electromagnetism II

**Statistics Cluster**

- MATH.5760 Statistical Programming using SAS
- MATH.5880 Mathematical Statistics
- MATH.5910 Linear Statistics Modeling and Regression
- MATH.5930 Experimental Design

**Epidemiology/Biostatistics Cluster**

- MATH.5760 Statistical Programming in SAS
- MATH.5910 Linear Statistics Modeling and Regression
- PUBH.5750 Introduction to Biostatistics and Epidemiology
- PUBH.6890 Advanced Regression Modeling

** (Variations of these clusters of different ones can be proposed with the guidance of the student's advisor.)*

**PSM sequence of the Developmental Seminar (0 credit), Internship****(zero credit) and Reflective Seminar (1 credit)**

- PSMA.5000 Professional Development Seminar (0 credit)
- PSMA.5100 Internship (0 credit)
- PSMA.5010 Reflective Seminar (1 credit)

Each student must complete an internship lasting a minimum of 350 hours. Before starting the internship, the student must have completed at least 18 credit hours in the program, including 6 credit hours of PLUS coursework, must have completed the course PSMA.5000 Professional Development, and must have a GPA of at least 3.3. In cases where a PSM student is employed in their career field the PSM student will be required to do a PSM project at their place of employment. The student should register for the course PSMA.5100 PSM Internship during the internship period.

In the semester immediately following completion of the PSM Internship (or PSM Project for students employed in their career field) the student is required to take PSMA.5010 Reflective Seminar (1 credit).

**Professional Plus Courses** (9 credits)

- MKTG.5450 Professional and Scientific Communication

*Plus two additional courses (six credits) from the following list:*

- MKTG.5010, MKTG.6300
- MGMT.5010, MGMT.5750
- MECH.5760
- ENTR.6450, ENTR.6500
- FINA.6400
- PSMA.5350, PSMA.5650
- MLSC.7700