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M.S. in Mathematics

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MathematicsGraduateMaster of Science

Specialization/Dissertation Title

Master of Science in Mathematics with Specialization in Analysis

Specialization/Dissertation Requirements

[ Total: 30 cr hrs. of which six credit hours must be approved upper-division or graduate course work from another department.] 

An interdisciplinary program in analysis is available at the graduate level within the various departments at New Mexico Tech. To specialize in this area the student must fulfill the requirements of the undergraduate program in mathematics and complete MATH 4035 and MATH 4071 or the equivalent.

Graduate work consists of:

1) A minimum of 12 credits from:

Earn at least 12 credits from the following:

  • course - Topics in Ordinary Differential Equations

  • course - Partial Differential Equations

  • course - Topics in PDEs

  • course - Methods of Mathematical Physic

  • course - Methods/Mathematical Physics

  • course - Bifurcation Theory

  • course - Topics Differential Geometry

  • course - Functions of a Real Variable

  • course - Functional Analysis

2)  Additional courses subject to the approval of the student’s advisor to complete the requirements of the Graduate School. 


Specialization/Dissertation Title

Master of Science in Mathematics with Specialization in Statistics and Data Science

Specialization/Dissertation Requirements

 An interdisciplinary program in statistics and data science is available at the graduate level. To specialize in this area, the student must fulfill the requirements for the undergraduate program in mathematics or a related field,  including MATH 4083, and either MATH 4041 or MATH 5041,  or the equivalent.

Graduate work would consist of:

  1. A minimum of 15 credits from:

    Earn at least 15 credits from the following:

    • course - Convex Optimiz Nonlinear Prgmg

    • course - Inverse Problems

    • course - Applied Multivariate Analysis

    • course - Linear Stat Models w/ Apps

    • course - Topics in Probability & Stats

    • course - Spatial Variability & Geostats

    • course - Analy. of Time Series & Spat.

    • course - Advanced Data Analysis

  2. Two of the following CSE courses: (Complete at least 2 of the following courses):

    • course - Python for Data Science

    • course - Data Science

    • CSE4064 - Intro to Soft Computing

    • CSE5067 - Soft Computing

    • course - Neural Networks

    • course - Neural Networks

    • course - Machine Learning

    • course - Visualization

    • course - Advanced Visualization

    • course - Advanced Data Management

  3. For the Independent Study option, three cr hrs of MATH 5090, for the Thesis option, six cr hrs of MATH 5091.

  4. Additional courses subject to the approval of the student’s advisor to satisfy the general requirements of the Master of Science degree, for the total of 30 cr hrs.


Specialization/Dissertation Title

Master of Science in Mathematics with Specialization in Industrial Mathematics

Specialization/Dissertation Requirements

 [ Total : 30 cr hrs. of which six credit hours must be approved upper-division or graduate course work from another department ]

Industry and business provide many areas for the application of advanced mathematics, and many possibilities for mathematicians to make significant contributions.  New Mexico Tech offers a program to prepare students for these opportunities.  Students need a basic background in numerical analysis, differential equations, and statistics at the undergraduate level.  The graduate requirements are:

1) Modeling Courses

Earn at least 3 credits from the following:

  • course - Mathematical Modeling
    OR course - Mathematical Modeling

2) Core Industrial Mathematics Courses

Two of the following (Earn at least 6 credits from the following):

  • course - Numerical Methods for PDEs

  • course - Convex Optimiz Nonlinear Prgmg

  • course - Perturbation Methods

  • course - Methods of Mathematical Physic

  • course - Bifurcation Theory

  • course - Wave Phenomena

  • course - Statistical Machine Learning

  • course - Analy. of Time Series & Spat.

 3) A concentration of four related courses (12 credits), at least two at the 5000-level (beyond the two in requirement 2) and at least two in one other department, and additional courses to satisfy the general requirements of the Master of Science degree.  The courses to satisfy this requirement must be approved by the student’s advisory committee.

 4) Each student spends one term, usually summer, in an internship in an industrial position.  This internship is arranged by the student, with the approval of the student’s advisory committee and should involve mathematical modeling, computation and analysis.