THE UNIVERSITY OF ALABAMA GRADUATE CATALOG
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7.4.10 CURRICULUM IN APPLIED STATISTICS

The program described below leads to the MS degree in applied statistics. It provides a broad yet thorough training in the methodology and theory of statistics, as well as an appreciation for the application of statistics in a variety of disciplines. For more detailed information and recommendations, students are encouraged to consult the Applied Statistics Graduate Handbook.

Admission Requirements
The candidate for admission to applied statistics is normally expected to have completed courses in mathematics equivalent to three semesters of undergraduate calculus and to have a working knowledge of computer programming and linear or matrix algebra. The Graduate Record Examination (GRE) or the Graduate Management Aptitude Test (GMAT) is required of all applicants.
Additional information is in the Admission Criteria section of this catalog.

Degree Requirements
The MS degree in applied statistics requires 30 hours, 12 of which are electives. There are five tracks within this degree to allow different specializations. These tracks are traditional, quality and six sigma, data mining, actuarial science, and biostatistics. All of these tracks have 6 required courses and 4 elective courses with 6 common courses for all tracks. The requirements of these tracks are summarized below. The electives may be earned in additional coursework in statistics or related areas, with the approval of a faculty advisor. The program of related courses may vary from student to student, and depends on the student's interests and academic background. When most
of the coursework is completed, the student must pass a written comprehensive examination. Additional information is in the Degree Requirements section of this catalog.

The following are required courses common to all tracks:

Required courses

 

ST 552 Applied Regression Analysis

3

ST 553 Applied Multivariate Analysis

3

ST 554 Mathematical Statistics I

3

ST 555 Mathematical Statistics II

3

ST 560 Statistical Methods

3

ST 561 Applied Design of Experiments

3

____

Total semester hours of in-common required courses

18

 

 

Track I: Traditional. The following are the requirements for the traditional specialization in applied statistics:

 

 

Required courses

 

ST 535 Nonparametric Statistics

3

ST 575 Statistical Quality Control

3

Electives

6

____

Total semester hours of required courses for Track I

12

 

 

Track II: Quality and Six Sigma. The following are the requirements for the quality and six sigma specialization:

 

 

Required courses

 

ST 575 Statistical Quality Control

3

IE 521 Reliability, Maintainability, and Total Productive Maintenance

3

IE 622 Quality Engineering

3

Electives

3

____

Total semester hours of required courses for Track II

12

 

 

 
 
 
 

Track III: Data Mining. The following are the requirements for the data mining specialization:

 

 

Required courses

 

ST 521 Statistical Data Management

3

ST 522 Advanced Data Management

3

ST 531 Knowledge Discovery and Data Mining I

3

ST 532 Data Mining II

3

____

Total semester hours of required courses for Track III

12

 

 

Track IV: Actuarial Science. The following are the requirements for the actuarial science specialization:

 

 

Required courses

 

ST 521 Statistical Data Management

3

ST 535 Nonparametric Statistics

3

FI 443 Property and Liability Insurance

3

FI 444 Life and Health Insurance

3

____

Total semester hours of required courses for Track IV

12

 

 

Track V: Biostatistics. The following are the requirements for the biostatistics specialization:

 

 

Required courses

 

ST 521 Statistical Data Management

3

ST 522 Advanced Data Management

3

CHS 520 Basic Epidemiology

3

CHS 625 Advanced Epidemiology

3

____

Total semester hours of required courses for Track V

12

 


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