Master of Science in Applied Mathematics and Statistics

MS Degree Requirements

Computational and Applied Mathematics

The MS program in Computational and Applied Mathematics (CAM) provides the opportunity for students to pursue 30 specialized credits through either a thesis or non-thesis degree program. All MS candidates pursuing CAM complete the following courses:

  • MATH 500 Linear Vector Spaces
  • MATH 501 Applied Analysis
  • SYGN 502 Introduction to Research Ethics *
  • MATH 514 Applied Mathematics I
  • MATH 550 Numerical Solutions to PDEs
  • MATH 551 Computational Linear Algebra
  • MATH 589 Applied Mathematics and Statistics Teaching Seminar **

* Required for Master’s Thesis students, not required for MS-NT students. Course alternative is CITI RCR. If intending to take the alternative course, confirm with AMS DGS before enrolling.
** Required only for students employed by the department as graduate teaching assistants and student instructor/lecturers

Please refer to the Mines Graduate Catalog here for additional program requirements.

Statistics

The MS program in Statistics provides the opportunity for students to pursue 30 specialized credits through either a thesis or non-thesis degree program. All MS candidates pursuing Statistics will complete the following courses:

  • MATH 500 Linear Vector Spaces
  • SYGN 502 Introduction to Research Ethics *
  • MATH 531 Theory of Linear Models
  • MATH 534 Mathematical Statistics I
  • MATH 535 Mathematical Statistics II
  • MATH 560 Introduction to Key Statistical Learning Methods I
  • MATH 589 Applied Mathematics and Statistics Teaching Seminar **

* Required for Master’s Thesis students and for students receiving federal support, not required for MS-NT students. Course alternative is CITI RCR. If intending to take the alternative course, confirm with AMS DGS before enrolling.
** Required only for students employed by the department as graduate teaching assistants and student instructor/lecturers

Please refer to the Mines Graduate Catalog here for additional program requirements.

Data Science

The non-thesis MS program in Data Science is designed to give candidates a foundation in statistics and computer science and also provide knowledge in a particular application domain of science or engineering. All MS candidates pursuing Data Science will follow a 3 × 3 + 1 design: three modules each consisting of three, 3-credit courses, and a mini-module, comprising 3-credit hours. The mini-module can be a combination of 1, 2 or 3 credit courses.

Modules:

  1. Data modeling and statistical learning
  2. Machine learning, data processing and algorithms, and parallel computing
  3. Individualized and domain specific coursework

Mini-Module:

Professional skills and career development

For further information about the Data Science Master’s Program, please visit the website here.

Combined BS/MS (4 + 1)

We also offer combined BS/MS degree programs in either Computational and Applied Mathematics or in Statistics. These programs offer an expedited application process and allow students to begin graduate coursework while still finishing their undergraduate degree requirements.

This is an option for students who are currently in the process of completing, or have already completed, a BS degree at Mines within the past 5 years.

For students with a bachelors in AMS, the department will waive letters of recommendation and GRE scores. Students with a bachelors outside of the AMS department will have the GRE score waived, but the department still requires letters of recommendation and a Statement of Purpose.

To apply, students are required to have completed a minimum of five AMS courses past MATH 225 Differential Equations.
Cost to apply is $25 for all Mines students.