Applied Statistics and Data Science, MS
Ready to decode the patterns hidden in data and interpret the stories they reveal? Turn your curiosity into expertise and learn to read what the numbers are telling you.
Quick facts
Locations
Credits
Additional facts
STEM-OPT extension eligible: No
International students (F1), this program is not eligible for the STEM-OPT extension.
Accreditation
Accredited by the Higher Learning Commission.
Applied Statistics and Data Science, MS program description
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/.
Why study applied statistics and data science at ASU?
Statistics skills show up again and again in data science job descriptions, and this program helps you build exactly the expertise employers say they want.
Curriculum
This graduate degree includes courses focused on a specialized topic, so you can advance your skills for further professional opportunities. Explore all courses below:
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.
Admission requirements
Here are the admission and application details
All students are required to meet general university admission requirements.
U.S. applicants (opens in new window) | International applicants (opens in new window) | English proficiency (opens in new window)
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: Additional Application Information 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: 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:
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.
Application deadlines
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | Online | 07/01 | Final* |
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | Online | 11/01 | Final* |
*A final deadline means that all applications and application materials must be received by Admission Services by the deadline date. Applications that are incomplete may not be considered after the final deadline. Applications that are submitted past the final deadline may not be considered.
Paying for college
Use our calculator to estimate your full-time or part-time tuition fees for this program prior to any financial aid. Keep in mind that most of our students receive financial aid, which can reduce out-of-pocket costs.
Get an estimateCareer opportunities
Careers this applied statistics and data science master's degree prepares you for
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
Contact information
Use the contact information below to get in touch if you're a current student or have general questions.
Prospective students should fill out the Request for Information form.
School of Mathematical and Statistical Sciences
|
WXLR 213
grad.math@asu.edu
480-965-3951
Admission deadlines
Frequently asked questions about degree programs
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.
