Our program offers two tracks, Academic Track and new Professional Track (Students can complete in only 3 semesters). The information on this page details the Academic Track.
ASU's MS Statistics degree at Arizona State University is highly interdisciplinary and draws faculty research and teaching interests from various academic units. The program is highly flexible and can be tailored to reflect individual needs and goals.
Participating faculty are from units that include the Ira A. Fulton Schools of Engineering, the College of Liberal Arts and Sciences, the W.P. Carey School of Business and the New College of Interdisciplinary Arts and Sciences.
Data has been described as the world’s most valuable resource. Statisticians are key in interpreting data to guide critical decisions and direct new areas of inquiry in science, business, policy and government.
A report by McKinsey Global Institute predicts the U.S. will need up to 190,000 new professionals with analytical skills to help manage the Big Data movement and run data analytics and business intelligence operations in the private and public sectors. Additionally, the U.S. Bureau of Labor Statistics predicts that jobs for statisticians will grow 34 percent between 2016 and 2024, much faster than the growth rate of 7 percent for all occupations. ASU's statistics division is growing to meet this high demand.
ASU’s MS in statistics prepares students for either a research-oriented or a practice-oriented career, and balances both the theoretical and applied aspects of the discipline. Graduates understand the theory that is fundamental to the proper use of statistics, are knowledgeable about the tools of applied statistics and are familiar with computer software packages available for doing statistical computations. In addition, students interested in research in statistics can obtain the background needed to begin a doctoral program.
The statistics division of the School of Mathematical and Statistical Sciences has eight full-time faculty and is housed largely in Charles Wexler Hall, near the center of campus. Our approximately 30 statistics master's students enjoy a collaborative atmosphere and a full schedule of seminars and colloquiums each week. We support an active chapter of the Graduate Statistics Club, the Association for Women in Mathematics (AWM), as well as a student chapter of American Mathematics Society (AMS). The school hosts an annual Math and Statistics Career Day and graduate students explore multiple career paths locally and nationally in business, industry, government and academia.
The 30-hour program of study includes coursework, exams, and a publicly-defended thesis or applied project. The Statistics MS program provides preparation for either a research-oriented or a practice-oriented career.
How to apply
The application deadline for our master's degree program is July 1. Applications are accepted for fall admission only.
We do not accept applications for spring admission. Completed applications are reviewed beginning in December for fall admission. There is usually no funding available for master's students.
Applications still considered incomplete by the School of Mathematical and Statistical Sciences after July 1 will likely not be evaluated by the graduate review committee in time to be considered for admission for that current year. International applicants may want to allow an additional 4-6 weeks for I-20 and visa processing and should pay careful attention to the I-20/DS-2019 important deadlines.
See Graduate Admissions for additional information on non-refundable application fees and the late processing fee.
Each applicant is evaluated not only on their GRE scores and grades, but also on their personal statement and letters of recommendation. Only completed applications submitted through the on-line process will be reviewed.
We receive many inquiries asking for a pre-evaluation to see if an applicant would be eligible to apply or make suggestions on their credentials. Unfortunately we are not able to review any application information sent to us.
More specifics can be found on the How To Apply page.
I have found that the faculty and fellow students in our school seem to encourage success over competition. Professors are kind and helpful and foster a positive working environment, which is not something you can assume will be true everywhere or take for granted.
Doctoral student in statistics
30 credit hours including the required applied project course (STP 593 or IEE 593 or ECN 593) and an oral comprehensive exam, or
30 credit hours including the required thesis course (STP 599 or IEE 599 or ECN 599), a thesis and an oral comprehensive exam, or
30 credit hours, a written comprehensive exam and an oral comprehensive exam
|Requirements and electives||Hours|
|Required Core Course||3|
|Required Academic Track Courses||12|
|Total hours required||30|
Courses and electives
The goal of the Statistics MS is for students to understand the theory that is fundamental to the proper use of statistics, to be knowledgeable about the tools of applied statistics and familiar with computer software for doing statistical computations.
STP 530 Applied Regression Analysis (3) OR
ECN 525 Applied Regression Models (3) OR
IEE 578 Regression Analysis (3)
STP 501 Theory of Statistics I: Distribution Theory (3)
STP 502 Theory of Statistics II: Inference (3)
STP 526 Theory of Statistical Linear Models (3)
STP 531 Applied Analysis of Variance OR
IEE 572 Design Engineering Experiments (3)
The remaining credit hours come from elective courses chosen by the student with the approval of supervising faculty. A maximum of six credit hours may be chosen from a related field on which statistics relies (such as computer science) or in which statistics is an essential tool (e.g., biostatistics, quality control). The elective courses allow the student to emphasize a particular area of statistical inference, culminating in an applied project report or a thesis on a topic in that area. No foreign language or written comprehensive examinations are required.
The student has considerable flexibility in selecting an area of specialty.
STP 593 or ECN 593 or IEE 593 Applied Project (3)
STP 599 or ECN 599 or IEE 599 Thesis (6)
Oral and written comprehensive exam (0)
The applied project or thesis must be defended at an oral examination. The thesis must conform to the Graduate College format requirements.
Ideally, the content of the applied project report or thesis, in its final form, will be suitable for submission to an academic journal or conference proceedings.
Prerequisites may not be used to complete the 30 credit hours.
An applicant whose native language is not English must provide proof of English proficiency regardless of current residency.
Applicants should have completed the following courses (equivalents at ASU are given in parentheses), and applicants who lack any of these prerequisite courses must complete the prerequisites before being considered for admission:
- advanced calculus (MAT 371)
- calculus (MAT 270, MAT 271 and MAT 272)
- computer programming (CSE 100)
- introductory statistics (STP 420)
- linear algebra (MAT 342)