Data Science, Analytics and Engineering (Computational Mathematics and Data), MS
Learn data science skills based in an understanding of the algorithms and mathematical concepts in machine learning, deep learning through neural networks, and optimization --- all of which are needed to advance in the modern economy.
Quick facts
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Credits
Additional facts
STEM-OPT extension eligible: Yes
International students (F1) can extend U.S. work experience by 24 months.
Accreditation
Accredited by the Higher Learning Commission.
Degree description
Data scientist is consistently ranked among the top jobs in the U.S., and there's an increasing need for applied mathematicians to make use of data science tools such as statistics, machine learning, artificial neural networks and artificial intelligence. Beyond the application of these tools, the fast-moving field of data science requires an understanding of the mathematical background of the algorithms behind these tools and the mathematical concepts that make these tools useful.
The Master of Science program in data science, analytics and engineering with a concentration in computational mathematics and data provides you with an advanced education in high-demand data science and computational mathematical modeling. The program brings you a focus on computational skills in optimization, machine learning, stochastic processes and dynamical systems that is enhanced by mathematical modeling in all application areas that use large-scale data, including social sciences, astronomy, neuroscience, biosciences, engineering and epidemiology.
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 and a thesis, or
30 credit hours including the required capstone course (FSE 570)
Required Core (9 credit hours) Students choose one: Students choose one: Concentration (9 credit hours) Electives (6 or 9 credit hours) Culminating Experience (3 or 6 credit hours) Additional Curriculum Information Courses selected for the required core or concentration may not be used as elective coursework on the same plan of study. Students should check with their academic advisor to ensure that the total number of credit hours of their plan of study is equal to 30.
Students choose one:
DSE 501 Statistics for Data Analysts (3)
EEE 554 Probability and Random Processes (3)
HSE 530 Intermediate Statistics for Human Systems Engineering (3)
STP 501 Theory of Statistics I: Distribution Theory 3 (3)
CSE 511 Data Processing at Scale (3)
CSE 512 Distributed Database Systems (3)
IFT 530 Advanced Database Management Systems (3)
CSE 572 Data Mining (3) or DSE 572 Data Mining (3)
CSE 575 Statistical Machine Learning (3)
EEE 549 Statistical Machine Learning: From Theory to Practice (3)
IEE 520 Statistical Learning for Data Mining (3)
IFT 511 Analyzing Big Data (3)
MAE 551 Applied Machine Learning for Mechanical Engineers (3)
STP 550 Statistical Machine Learning (3)
APM 505 Applied Linear Algebra (3)
STP 530 Applied Regression Analysis (3)
Choose one:
APM 523 Optimization (3)
EEE 589 Convex Optimization (3)
IEE 620 Optimization I (3)
STP 502 Theory of Statistics II: Interface (3)
FSE 570 Data Science Capstone (3) or MAT 599 Thesis (6)
Students should consult the academic unit for a list of approved electives and concentration course requirements.
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 Ira A. Fulton Schools of Engineering. To be considered for admission to the program, applicants must have earned a bachelor's or master's degree in computing, engineering, mathematics, statistics, operations research, information technology 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 All applicants must demonstrate relevant coursework or experience in the following three areas: In addition, applicants who do not have an undergraduate degree in computer science, computer engineering, software engineering, information technology, industrial engineering, operations research, statistics or a related computing field must show evidence (in the professional resume) of at least one of the following certifications or equivalent experience:
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 | In Person | 12/31 | Priority* |
| Session | Modality | Deadline | Type |
|---|---|---|---|
| Session A/C | In Person | 07/31 | Priority* |
*A priority deadline means that applications submitted and completed before the priority deadline will receive priority consideration. Applications submitted after the priority deadlines will be reviewed in the order in which they were completed and on a space-available basis. An application is complete after all materials are received by Admission Services.
Explore expanded study opportunities
This program allows you to obtain both a bachelor's and a master's degree in as little as five years. As a high-achieving student, accelerated bachelor's plus master's degree programs are designed for you to share undergraduate coursework with graduate coursework to accelerate completion of your master's degree. These programs feature the same high-quality curriculum taught by ASU's world-renowned faculty.
This program is offered as an accelerated bachelor's plus master's degree with:
Approval to pursue the accelerated master's is typically granted during the junior year of your bachelor's degree program. If you are interested, you can learn more about eligibility requirements and how to apply.
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 recieve financial aid, which can reduce out-of-pocket costs.
Get an estimateCareer opportunities
Applied mathematicians with a background in data science can pursue opportunities in a variety of fields to model, analyze and control dynamical processes that generate large data sets. These professionals are needed in the energy and power systems sector and in pharmaceutical, semiconductor and communications industries, among others. Graduates also may work in government laboratories, such as those in the Centers for Disease Control and Prevention, the National Institutes of Health, and the National Oceanic and Atmospheric Administration.
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.
Electrical Engineering Program
|
WXLR A213
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.
