The requirements for regular admission to the Applied Statistics program include:
- A minimum 3.0 grade-point average overall or in the last two years of study.
- Knowledge of differential and integral calculus (NMSU equivalents: MATH 191, 192 and 291).
- An undergraduate- or graduate-level statistics course. (These courses can be taken as undergraduate deficiencies).
- Fluency in written and spoken English is essential.
- Expertise in computing or programming is highly recommended.
Required Course Work
See the course descriptions below to ascertain which courses are for methods, electives, consulting and theory.
Minimum Credit Requirements
Candidates for the Master of Science in Applied Statistics must successfully complete a minimum of 35 semester credits:
- Methods: 6 hours
- Electives: 8 hours or more
- Consulting: 3 credits
- Theory: 14 credits
- Research: 4-6 credits
A ST 505. Statistical Inference I, 4 cr. (3+2P)
- A ST 503. SAS Basics, 2 cr. (2)
- A ST 504. Statistical Software Applications, 1 cr. (1)
- A ST 506. Statistical Inference II, 3 cr. (3)
- A ST 507. Advanced Regression, 3 cr. (3)
- A ST 508. Analysis of Advanced Designs and Related Topics, 3 cr. (3)
- A ST 515. R programming language, 3 cr. (3)
- A ST 521. Sampling Methodology, 3 cr. (3)
- A ST 523. Biological Sampling(s), 3 cr. (3)
- A ST 545. Time Series Analysis and Applications, 3 cr. (3)
- A ST 555. Applied Multivariate Analysis, 3 cr. (3)
Consulting Courses (for Majors Only):
- A ST 551. Introduction to Statistical Consulting, 1 cr. Graded S/U.
- A ST 552. Advanced Statistical Consulting, 1 cr. Graded S/U.
- A ST 553. Practicum in Statistical Consulting, 1 cr. Graded S/U.
- A ST 565. Statistical Analysis I, 4 cr. (4)
- A ST 566. Statistical Analysis II, 4 cr. (4)
- A ST 567. Applied Linear Models I, 3 cr. (3)
- A ST 568. Applied Linear Models II, 3 cr. (3)