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Graduate Catalog 2019-2020

Statistics M.S.

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The plan in Statistics leads to a Master of Science (M.S.) degree. This plan emphasizes statistical methods, statistical computing and data-analytic skills in two specializations: Applied Statistics and Big Data Analytics. It is suitable for students with an undergraduate background in mathematics, engineering, sciences or any background with solid mathematics and who wants to pursue a career as a statistician or a data scientist. Applicants will be considered if their preparation includes an adequate number of Mathematics credits. In some cases, additional preparatory courses may be required.

 

Degree Requirements

Basic Preparation
MATH 2413 Calculus I
Credit Hours: 4
MATH 2414 Calculus II
STAT 4344 Introduction to Probability
Credit Hours: 3
STAT 4345 Introduction to Statistics
Credit Hours: 3

Core Requirements (15 hours)

Statistics Core Requirements (15 hours)
The following three courses or their approved substitutes are required:
STAT 5432 Principles of Statistical Inference
Credit Hours: 3
STAT 5531 Multivariate Statistical Analysis
Credit Hours: 3
STAT 5532 Linear Models and Regression Analysis
Credit Hours: 3
STAT 5533 Statistical Computing
Credit Hours: 3
STAT 5535 Experimental Designs and Analysis
Credit Hours: 3

 Applied Statistics Specialization (18-21 hours)

Thesis Option (15 hours)

 6 credit hours of STAT 6939

6 credit hours of 5000-6000 level of approved electives

3 credit hours of MATH 5538.

STAT 6939 Master's Thesis Research
Credit Hours: 3
STAT 5538 Categorical Data Analysis
Credit Hours: 3

Additional Information

 Students take STAT 6939 for 6 credit hours, 6 credit hours of 5000-6000 level approved electives, and 3 credit hours of MATH 5538.

 

Extended Course work Option (21 hours)

3 credit hours of 4000 - 6000 level MATH/STAT courses

3 credit hours of 5000 - 6000 level approved courses

9 credit hours of approved electives *

STAT 5538 Categorical Data Analysis
Credit Hours: 3
STAT 5634 Data Visualization and Graphical Tests
Credit Hours: 3

Additional Information

3 credit hours of 4000 - 6000 level MATH/STAT courses must be MATH/STAT 4345 if not previously completed.

*Approved electives: STAT 5531, STAT 5537, STAT 5631, STAT 5635, STAT 5636, STAT 5637

In addition to the required 7 hours, students pursuing the extended coursework option must complete a comprehensive written examination of core courses.

Capstone Project (15 hours)

 3 credit hours of STAT 6838

3 credit hours of STAT 5538

9 credit hours of 5000 - 6000 level of approved electives.

STAT 5538 Categorical Data Analysis
Credit Hours: 3
STAT 6837 Statistics Research and Consulting I
Credit Hours: 3
STAT 6838 Statistics Research and Consulting II
Credit Hours: 3

Additional Information

 Students take STAT 6837/STAT 6838 for 6 credit hours during the last 18 hours of course work.

 

Big Data Analytics Specialization (18 hours)

Capstone Project (15 hours)

 3 credit hours of 4000-6000 level approved courses

 3 credit hours of STAT 5537 or STAT 5634

9 credit hours from the following list in addition to STAT 6838.

STAT 6838 Statistics Research and Consulting II
Credit Hours: 3
CSCI 5532 Pattern Recognition and Image Processing
CSCI 5530 Pattern Classification
CSCI 5833 Data Mining: Tools and Techniques
CSCI 5832 Financial Data Mining
CSCI 5388 Big Data Analytics
Credit Hours: 3
CSCI 5933 Computational Bioinformatics
CSCI 5333 Database Management Systems
Credit Hours: 3
CINF 5432 Data Warehousing and Business Intelligence
Credit Hours: 3

Additional Information

 Requires knowledge of Python programming and a database course.