Master of Science (M.S.) Applied Mathematics

The Department of Mathematics offers a strong graduate program leading to the Master of Science (M.S.) in Applied Mathematics. Specific areas of study currently available include statistics, probability, differential equations, applied analysis, algebra, and coding theory.
To respond to the needs of both students and employers, the Department has organized this degree program into a system of four tracks, which are intended to help students develop their programs of study:
Customized programs of study are also available.
Please refer to the Graduate School admissions requirements.
A limited number of teaching assistantships are available. For information contact the graduate advisor of the Department of Mathematics. Typically, students requesting assistantships should indicate this three months prior to the application deadline for the intended semester.
The department graduate committee must approve exceptions to these requirements.
Miscellaneous Information
The Tracks:
The Ph.D Preparation track is designed for those individuals who are interested in obtaining a Masters Degree in Mathematics that will enable them to pursue a Ph.D degree in pure mathematics at a later time. It has been our experience that students interested in this track tend to emphasize pure mathematics rather than applied mathematics. To that end, the Ph.D Preparation track includes a solid exposure to pure mathematics with special emphasis in algebra, analysis and probability.
The Ph.D Preparation track consists of a core list of required courses together with an elective strategy. These are described below. Please visit the Math Course Descriptions page for details about the courses.
The core course list for the Ph.D Preparatory Track (All 5 courses)
The elective course list for the Ph.D Preparatory Track (Choose 5 courses)
or any other 5000level mathematics course offered by University of Colorado at Colorado Springs, approved by the Mathematics Graduate Advisor.
The Applied and Computational Mathematics track
The Applied Mathematics and Scientific Computation Track for the Masters Degree in Applied Mathematics is designed for those individuals pursuing careers in science and engineering with major mathematical or computational content. A mathematician working in an applied environment should have some knowledge of another discipline as well as modern computational skills. A typical problem requires construction of mathematical models from the concepts and data of the relevant branch of science, and reporting solutions and conclusions in the language of the discipline. To insure that graduates have some background in the major topics, a year sequence in Methods of Applied Mathematics and Scientific Computation is recommended. Courses from the core make up 18 of the required 30 hours for a Master's Degree. Please visit the Math Course Descriptions page for details about the courses.
Core course list for the Applied Science Track
Applied and Applicable Courses
The Education Track within the Masters of Applied Mathematics Degree
The Education track is designed for those individuals who are interested in pursuing a career in teaching mathematics at the K 14 level, but who desire the rigor and quality of a Master of Science (M.S.) degree in Applied Mathematics. Secondary schools and community colleges are increasingly interested in mathematics teachers who can demonstrate a competent use of technology within the classroom and who can integrate this technology with meaningful applications of mathematics. To that end, the Education track includes a core set of three courses that emphasize the use of applications and technology in the mathematics curriculum. A student successfully completing the Education track will have a solid background in the fundamental areas of mathematics (algebra, analysis), an excellent exposure to the applications of mathematics, particularly those that can be taught in the K14 classroom, and robust training in the use of technology in the mathematics classroom.
The Education track consists of a core list of required courses together with an elective strategy. These are described below. Please visit the Math Course Descriptions page for details about the courses.
The core course list for the Education Track
Recommended:
one from CURR 5301  Mathematical Connections and Concepts or T ED 5920 Secondary Math Methods
The elective strategies for the Education Track
After successfully passing the core list of courses above, the student must complete 12 additional graduate credit hours in mathematics. It is important to develop some depth in the areas of algebra, analysis, applied mathematics, geometry or probability. To that end, each student should specialize in two of the following areas by taking at least one course in each of the areas.
Algebra
Analysis
Applied Mathematics and Computing
Geometry
Probability and Statistics
The Business and Management track
The Business Track for the Master Degree in Applied Mathematics is designed for those individuals pursuing careers as actuaries, in financial services, or in other aspects of business and economics. Some of the core mathematical concepts in these areas include linear algebra, optimization, probability, statistics, and stochastic processes. Most applications require modern computational techniques. Please visit the Math Course Descriptions page for details about the courses.
Core Math courses for the Business Track
Courses from the core make up 12 of the required 30 hours for a Masters Degree. Other topics and corresponding courses from Mathematics most likely to be encountered in business are listed below.
Specialty courses from Mathematics (Choose at least 2)
Additional required courses for Actuarial or Finance options
Two of four economics and finance courses:
Other Appropriate Courses From Business:
Departmental Course Catalog and Descriptions: