For more than 25 years, the Master of Science in Applied Statistics at the Manderson Graduate School of Business has prepared students for success in data-driven careers. The program equips students with the quantitative and analytical skills needed to excel in today’s rapidly evolving professional landscape. Designed with flexibility in mind, the curriculum allows students to customize their coursework to align with their career goals while building expertise in statistical analysis, data science, and applied problem-solving.
Students may also have opportunities to gain hands-on experience through The University of Alabama’s Institute of Data and Analytics, which oversees the Marillyn A. Hewson Data Analytics Lab. This state-of-the-art facility provides access to advanced technology and collaborative, interdisciplinary projects that address complex, real-world challenges using data-driven solutions.
A background in business is not required for admission to the Master of Science in Applied Statistics program.
The program requires 30 hours, half of which are track specific. There are two different tracks within this degree: Data Science and Analytics with five required courses common to both tracks of study.
This program offers general courses:
as well as specialized courses in topics including:
Data mining/Predictive modeling
Quality control
Statistical computing
Data Visualization
Nonparametric statistics
Statistical/Machine learning
You can earn electives in additional coursework with the approval of a faculty advisor. The program of related courses may vary from student to student and depends on your interests and academic background. When most of the coursework is completed, the you must pass a written comprehensive examination OR a professional exam such as the Actuarial P Exam, SAS Predictive Modeler Exam, or the ASQ Certified Quality Engineer Exam.
This program offers robust training in statistics fundamentals and professional development to prepare students for the vibrant job market and foster an interest in analytical research. As a STEM-designated program, APST facilitates up to three years of Optional Practical Training (OPT) for international students on an F-1 visa.
Candidates for admission to applied statistics are 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.
GRE/GMAT scores are recommended but not required for admission.
NOTE: A GRE/GMAT score is required for students who, upon admission, may wish to be considered for some limited scholarships, offered on a competitive basis, depending on availability.
A TOEFL score of at least 79, an IELTS score of at least 6.5, a Duolingo score of at least 110, or a PTE score of at least 59 for non-native English speakers who are required to submit an English Language test score.
The Master of Science degree in Applied Statistics necessitates the completion of 30 credit hours, with half of these being specific to the chosen track. This program encompasses two tracks: Statistics and Analytics. It mandates the completion of five core courses, consistent across both tracks.
Additionally, students can engage in elective coursework, subject to the approval of a faculty advisor. The selection of these elective courses is inherently flexible, designed to accommodate the individual interests and academic backgrounds of each student.
In the final semester preceding graduation, students are required to demonstrate their comprehensive knowledge either through a written examination or by successfully passing a professional examination. Examples of such professional exams include the Actuarial P Exam, the SAS Predictive Modeler Exam, or the ASQ Certified Quality Engineer Exam. This requirement is pivotal in ensuring the readiness and competence of graduates in their respective fields of specialization.
Choose the non-specific course of study or one of two specialized concentrations: Statistics or Analytics.
Required Courses | ||
| Course | Title | Credits |
| ST 552 | Applied Regression Analy | 3 |
| ST 553 | Appld Multivariate Analy | 3 |
| ST 554 | Math Statistics I | 3 |
| ST 555 | Math Statistics II | 3 |
| ST 560 | Statistical Methods | 3 |
Track I: Statistics Concentration Required Courses | ||
| Course | Title | Credits |
| ST 561 | Applied Design Experiments | 3 |
Track II: Analytics Concentration Required Courses | ||
| Course | Title | Credits |
| ST 521 | Statistical Data Management I | 3 |
| ST 522 | Advanced Statistical Data Management | 3 |
| ST 531 | Data Mining I | 3 |
| ST 532 | Advanced Data Mining | 3 |
Typical graduate tuition rates apply for both in-state and out-of-state students. Learn about the tuition and cost of attending graduate school at The University of Alabama.
While many students self-finance their studies, the M.S., Applied Statistics program offers some financial aid through a few highly competitive graduate assistantships and scholarships to outstanding applicants, based on fund availability and merit.
To be considered for scholarships, a minimum GPA of 3.5, and requisite test scores (GRE: minimum overall score of 305 with at least 155 in the quantitative section; GMAT Focus: minimum 525) are required, along with admission to the program.
Students should apply early, before May, for a full consideration for the Fall semester. Late applications may be considered depending on the availability of resources. Contact the program coordinator for further information.
Manderson students who have completed the Master of Science in Applied Statistics program have been employed at:
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