Statistics, MS

for the degree of Master of Science in Statistics

Graduate Degree Programs in Statistics

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.

Course List
Code	Title	Hours
STAT 510	Mathematical Statistics	4
Select one of the following:
STAT 425	Statistical Modeling I	4
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 427	Statistical Consulting (or experience in applied statistics)	0-4
or STAT 593	STAT Internship
or STAT 443	Professional Statistics
STAT 410/MATH 464	Statistics and Probability II (or equivalent proficiency - may be waived with approval)	0-4
Total hours		32-36

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

Course List
Code	Title	Hours
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	Math Modeling in Life Sciences
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	Advanced Survival Analysis
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

Acquire a solid foundation in mathematical statistics and learn how it applies to data analysis;
Develop strong communication abilities in writing and orally that will allow them to work effectively in diverse teams;
Become skillful in statistical computing, data management, and statistical software;
Be knowledgeable of the most modern techniques in statistical methodology and data science, especially data analysis techniques associated with statistical learning and machine learning;
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: Bo Li
Associate Department Chair: Jeff Douglas
PhD Program Director: Xiaofeng Shao
Department Contact: Aaron Thompson
Graduate Contact: Joseph Zarnsy
Statistics Department website
Computing Applications Building, 605 E Springfield Ave, Champaign, IL 61820
(217) 333-2167
Statistics email

Admissions
Statistics Department Admissions Info & Requirements
Graduate College Admissions & Requirements

Course Catalog