for the degree of Master of Science in Statistics, Analytics Concentration

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The Master of Science in Statistics, Analytics Concentration combines the mathematical and statistical training of the traditional MS in Statistics with enhanced computational and data analytic training for those planning careers in information intensive industries or research. The program includes fundamental training in mathematical and applied statistics as well as specialized training in data management, analysis, and model building with large datasets and databases. The specialized courses have an emphasis on statistical computing, data management, and statistical learning, which encompasses the more statistical topics that fall under the broader title of data mining. The degree requires 36-40 hours (9 or 10 courses). Students are encouraged to gain experience in a business or consulting environment as part of the program.

for the degree of Master of Science in Statistics, Analytics Concentration

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

Course List

Code	Title	Hours
Mathematical Statistics
STAT 410	Statistics and Probability II (or equivalent proficiency- may be waived with approval)	0 or 4
Select one of the following:
STAT 510	Mathematical Statistics	4
or STAT 511	Advanced Mathematical Statistics
Foundational Applied Statistics
Select one of the following:		4
STAT 425	Statistical Modeling I
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
Statistical Computing
Select three of the following:		12
STAT 428	Statistical Computing
STAT 432	Basics of Statistical Learning
STAT 440	Statistical Data Management
STAT 447	Data Science Programming Methods
STAT 448	Advanced Data Analysis
STAT 480	Big Data Analytics
CS 412	Introduction to Data Mining
Advanced Analytics
STAT 542	Statistical Learning	4
Select one of the following:		4
STAT 525	Topics in Computational Statistics
STAT 546	Machine Learning in Data Science
STAT 571	Multivariate Analysis
CS 512	Data Mining Principles
Experiential Learning
Select one of the following:		4
STAT 427	Statistical Consulting
STAT 441	Practice of Applied Statistics
STAT 443	Professional Statistics
STAT 593	STAT Internship
Total hours		36 or 40

Other Requirements

Grad Other Degree Requirements

Requirement	Description
Other requirements may overlap
Minimum 500-level Hours Required Overall:	12
Minimum GPA:	2.75

for the degree of Master of Science in Statistics, Analytics Concentration

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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
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