MS: Statistics

Master of Science in Statistics

The Master of Science (MS) degree in Statistics provides advanced training in mathematical and applied statistics, exposure to statistics in a consulting or collaborative research environment and specialized coursework in a number of areas of emphasis. The program is intended to prepare students for careers as practicing statisticians, to provide enhanced research expertise for students pursuing advanced degrees in other fields, and to strengthen the mathematical and statistical training of students preparing for PhD studies in statistics or a related field. The MS degree requires 32-36 hours (8 or 9 courses) beyond the prerequisites. There is no thesis requirement for this degree. The entire program must be approved by the Graduate Advisor before a degree can be awarded.

Prerequisites

The prerequisites for the program include calculus through multivariable calculus, linear algebra equivalent to MATH 415, and an introduction to mathematical statistics and probability equivalent to STAT 400.

Course Requirements

A. Four required courses (12 or 16 hours)
(For course descriptions, visit the Academic Catalog.)

1. STAT 410 - Statistics and Probability II. This requirement can be waived if the student has already taken the course, or a course equivalent to it at another institution. (4 hours)

2. STAT 425 - Applied Regression and Design (4 hours)

3. One of the following (4 hours)
STAT 424 - Analysis of Variance
STAT 426 - Sampling and Categorical Data
STAT 429 - Time Series Analysis
STAT 430 - Topics in Statistics
STAT 432 - Basics of Statistical Learning

4. STAT 510 - Mathematical Statistics (4 hours)

A minimum of a C- must be earned in core requirement courses in order to be counted towards degree completion. 

B. Five elective courses (20 hours)
(For course descriptions, visit the Academic Catalog.)

At least 8 hours must be from the following list, and any course used to satisfy A.3 may not also be used to satisfy B. Up to 8 hours may be from other units on campus, subject to the approval of the Graduate Advisor. All courses below are four hours except STAT 590 and STAT 593, which have a variable number of hours.

STAT 424 - Analysis of Variance
STAT 426 - Sampling and Categorical Data
STAT 427 - Statistical Consulting
STAT 428 - Statistical Computing
STAT 429 - Time Series Analysis
STAT 430 - Topics in Applied Statistics
STAT 431 - Applied Bayesian Analysis
STAT 432 - Basics of Statistical Learning
STAT 433 - Stochastic Processes
STAT 434 - Survival Analysis
STAT 440 - Data Management
STAT 443 - Professional Statistics
STAT 448 - Advanced Data Analysis
STAT 458 - Math Modeling in Life Sciences
STAT 466 - Image Analysis
STAT 480 - Data Science Foundations
STAT 511 - Mathematical Statistics II
STAT 525 - Computational Statistics
STAT 530 - Bioinformatics
STAT 534 - Advanced Survival Analysis
STAT 538 - Clinical Trials Methodology
STAT 542 - Statistical Learning
STAT 545 - Spatial Statistics
STAT 546 - Machine Learning in Data Science
STAT 551 - Theory of Probability I
STAT 552 - Theory of Probability II
STAT 553 - Probability and Measure I
STAT 554 - Probability and Measure II
STAT 555 - Applied Stochastic Processes
STAT 558 - Risk Modeling and Analysis
STAT 563 - Information Theory
STAT 571 - Multivariate Analysis
STAT 575 - Large Sample Theory
STAT 578 - Topics in Statistics
STAT 587 - Hierarchical Linear Models
STAT 588 - Covariance Structures and Factor Models
STAT 590 - Reading Course (at most four hours total for this course)
STAT 593 - Internship (at most four hours total for this course)

C. Experience with statistical practice in an interdisciplinary environment
(For course descriptions, visit the Academic Catalog.)

This requirement is satisfied by any one of the following:

  1. Completing STAT 427 - Statistical Consulting; or
  2. Completing an approved internship (STAT 593 - Internship); or
  3. For students previously or concurrently admitted to another graduate program at the University of Illinois that uses statistics, completing at least 12 graduate hours (3 courses) in that program. The 12 hours would not count toward the MS degree in Statistics.

If STAT 427 or STAT 593 is taken to meet this requirement, those hours can count toward the 20 described in B.

D. Graduate level course requirement

At least 12 hours (3 courses) must be taken at the 500 level and at least 2 of the 500 level courses must be STAT courses.