Statistics, MS

for the degree of 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.

for the degree of Master of Science in Statistics

For additional details and requirements refer to the department's Graduate Programs and the Graduate College Handbook.

STAT 510Mathematical Statistics4
Select one of the following:
STAT 425Statistical Modeling I4
or STAT 527 Advanced Regression Analysis
Select one of the following:4
STAT 424
Design of Experiments
STAT 426
Statistical Modeling II
STAT 429
Time Series Analysis
STAT 431
Applied Bayesian Analysis
STAT 433
Stochastic Processes
STAT 528
Advanced Regression Analysis II
STAT 533
Advanced Stochastic Processes
STAT 556
Advanced Time Series Analysis
Five elective courses from Departmental List (See Course List Tab)20
STAT 427Statistical Consulting (or experience in applied statistics)0-4
or STAT 593 STAT Internship
or STAT 443 Professional Statistics
STAT 410/MATH 464Statistics and Probability II (or equivalent proficiency - may be waived with approval)0-4
Total hours32-36

Other Requirements

Other Requirements may overlap
A concentration is not required.
Minimum 500-level Hours Required Overall: 12
Minimum GPA: 2.75

for the degree of Master of Science in Statistics

Statistics Departmental Course List
STAT 424
Design of Experiments
STAT 426
Statistical Modeling II
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
Statistical Data Management
STAT 443
Professional Statistics
STAT 447
Data Science Programming Methods
STAT 448
Advanced Data Analysis
STAT 458
STAT 480
Big Data Analytics
STAT 511
Advanced Mathematical Statistics
STAT 525
Topics in Computational Statistics
STAT 528
Advanced Regression Analysis II
STAT 530
Bioinformatics
STAT 533
Advanced Stochastic Processes
STAT 534
STAT 538
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 556
Advanced Time Series Analysis
STAT 571
Multivariate Analysis
STAT 575
Large Sample Theory
STAT 576
Empirical Process Theory and Weak Convergence
STAT 578
Topics in Statistics
STAT 587
Hierarchical Linear Models
STAT 588
Covar Struct and Factor Models
STAT 590
Individual Study and Research
STAT 593
STAT Internship

for the degree of Master of Science in Statistics

Statistics students in the MS program will:

  1. Acquire a solid foundation in mathematical statistics and learn how it applies to data analysis;
  2. Develop strong communication abilities in writing and orally that will allow them to work effectively in diverse teams;
  3. Become skillful in statistical computing, data management, and statistical software;
  4. Be knowledgeable of the most modern techniques in statistical methodology and data science, especially data analysis techniques associated with statistical learning and machine learning;
  5. Develop an understanding and gain experience in applying methodology learned in the classroom to real problems in science and industry.

for the degree of Master of Science in Statistics

Statistics Department

Department Chair: Yuguo Chen
Associate Department Chair: Georgios Fellouris
MS Program Director: Darren Glosemeyer
MS advisors: Alexandra Chronopoulou, Hyoeun Lee
Graduate Contact: Asraa Ibrahim
Statistics Department website

156 Computing Applications Building, 605 E Springfield Ave, Champaign, IL 61820
(217) 333-2167
Statistics email: stat-grad@illinois.edu

College of Liberal Arts & Sciences

College of Liberal Arts & Sciences website

Admissions

Statistics Department Admissions Info & Requirements
Graduate College Admissions & Requirements