Applied Statistics and Data Science, MS
Data Analysis, Data Science, Data visualization, Machine Learning, Statistical Modelling, Statistician, applied, statistics
Are you curious about patterns in data and how to interpret the stories they tell? Learn to apply statistics and machine learning to solve problems in industry, science and technology to build a better world through data.
Data science professionals and applied statisticians use sophisticated statistical, computational and mathematical tools to extract patterns from large, complex and often unordered datasets. In the Master of Science program in applied statistics and data science, you prepare to conduct critical analysis in a variety of areas, such as industry, research and government.
With a statistical and data science core consisting of statistical inference and classification, data mining, machine learning and associated computer methods, the program gives you a strong background in data-related skills that are useful in understanding and solving practical issues.
GI Bill® benefits
This new program is not yet approved for use with GI Bill® benefits.
GI Bill® is a registered trademark of the U.S. Department of Veterans Affairs. More information about education benefits offered by VA is available at the official U.S. government website at https://www.benefits.va.gov/gibill/.
- College/school:
The College of Liberal Arts and Sciences
- Location: Online
- STEM-OPT extension eligible: No
30 credit hours including the required capstone course (DAT 597)
Required Core (12 credit hours) Restricted Electives (9 credit hours) Electives (6 credit hours) Culminating Experience (3 credit hours) Additional Curriculum Information
DAT 502 Machine Learning for Data Science (3)
DAT 531 Industry Tools for Data Science (3)
STP 530 Applied Regression Analysis (3)
STP 531 Applied Analysis of Variance (3)
APM 527 Deep Neural Networks (3)
DAT 528 Advanced Deep Learning (3)
DAT 535 Exploration and Analysis of Environmental Data (3)
STP 505 Bayesian Statistics (3)
STP 533 Applied Multivariate Analysis (3)
STP 551 Time Series Analysis (3)
DAT 597 Applied Statistics and Data Science Capstone (3)
For elective coursework, students complete six credit hours of additional statistics or data science courses, selected in consultation with the program advisor. These may be additional courses from the restricted electives list or other DAT or STP courses.
General university admission requirements:
All students are required to meet general
university admission requirements.
U.S.
applicants | International
applicants | English
proficiency
Applicants must fulfill the requirements of both the Graduate College and The College of Liberal Arts and Sciences.
Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree in applied mathematics, data science, mathematics, statistics or a related field from a regionally accredited institution.
Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = ''A'') in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = ''A'') in an applicable master's degree program.
Applicants are required to submit:
- graduate admissions application and application fee
- official transcripts
- personal statement
- professional resume
- two letters of recommendation
- proof of English proficiency
Additional Application Information
An applicant whose native language is not English must provide proof of English proficiency regardless of current residency by scoring at least 4 on the Internet-based TOEFL (iBT)®, or a score of 80 if taken before January 21, 2026 in a testing center; 6.5 on the IELTS; or 105 on the Duolingo English test.
The single-spaced personal statement should be no more than two pages and should detail the applicant's background, reasons for wanting to do graduate work in applied statistics and data science, and their plans for the future.
Two academic letters of recommendation are required, and at least one letter should be written by a faculty member from an institution that the applicant has attended.
Applicants must demonstrate relevant coursework or experience in the following areas:
- experience with MATLAB, Python, SQL, R or other relevant programming skills (indicated in the professional resume)
- introductory undergraduate statistics (equivalent to STP 420 Introductory Applied Statistics)
- probability and mathematical statistics (equivalent to STP 421 Probability and STP 427 Mathematical Statistics)
- undergraduate upper-division linear algebra (equivalent to MAT 343 Applied Linear Algebra)
Students may be admitted into the program without completing a probability course or a mathematical statistics course, but are assigned additional course requirements that must be completed prior to starting the required core coursework, such as:
- STP 421 Probability
- STP 427 Mathematical Statistics
ASU offers this program in an online format with multiple enrollment sessions throughout the year. Applicants may view the program’s ASU Online page for program descriptions and to request more information.
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | Online | 07/01 | Final |
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | Online | 11/01 | Final |
Statistics and data analysis have been identified as two of the most desirable skills in today's job market.
Graduates with a master's degree in applied statistics and data science can pursue a broad variety of careers in diverse fields such as business, finance, engineering, technology, education, marketing, government and other areas of the economy. These are just a few of the top career opportunities:
- actuary
- data scientist
- financial analyst
- industry data consultant or analyst
- machine learning engineer
- research scientist
- software engineer
- statistician
School of Mathematical and Statistical Sciences
|
WXLR 213
grad.math@asu.edu
480-965-3951
Admission deadlines
Program term definitions
Accelerated programs allow students the opportunity to expedite the completion of their degree.
Accelerated master's
These programs allow students to accelerate their studies to earn a bachelor's plus a master's degree in as few as five years (for some programs).
Each program has requirements students must meet to be eligible for consideration. Students typically receive approval to pursue the accelerated master's during the junior year of their bachelor's degree program. Interested students can learn about eligibility requirements and how to apply.
Concurrent degrees allow students to pursue their own personal or professional interests, earn two distinct degrees and receive two diplomas. To add a concurrent degree to your existing degree, work with your academic advisor.
Joint programs, or jointly conferred degrees, are offered by more than one college and provide opportunities for students to take advantage of the academic strengths of two academic units. Upon graduation, students are awarded one degree and one diploma conferred by two colleges.
ASU adds new programs to Degree Search frequently. Come back often and look for the "New Programs" option.
ASU Online offers programs in an entirely online format with multiple enrollment sessions throughout the year. See https://asuonline.asu.edu/ for more information.
The Western Regional Graduate Program (WRGP) provides a reduced tuition rate to non-resident graduate students who qualify. Visit the WRGP/WICHE webpage for more information: https://graduate.asu.edu/wiche.
