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Data Science, Analytics and Engineering (Materials Science and Engineering), MS

Data Science, Analytics and Engineering (Materials Science and Engineering), MS

Academic programs / Graduate degrees / Data Science, Analytics and Engineering (Materials Science and Engineering), MS

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Data Analytics, Data Engineering, Data Science, Machine Learning, Materials Engineer, Materials Science, approved for STEM-OPT extension, materials

Learn the data science skills needed for the modern economy while enhancing your expertise in materials science and engineering. Take high-demand courses and work with your colleagues to solve client-driven data science problems.

Program description
Degree awarded: MS  Data Science, Analytics and Engineering (Materials Science and Engineering)

Data scientist is consistently ranked among the top jobs in the U.S., and there is an increasing need for all engineers to make use of data science tools such as statistics, machine learning, artificial neural networks and artificial intelligence. Yet the majority of engineering occupations require subject matter expertise beyond data science.

The MS program in data science, analytics and engineering with a concentration in materials science and engineering provides an advanced education in high-demand data science and materials science and engineering. A focus on probability and statistics, machine learning and data engineering is complemented by materials science and engineering-specific courses to ensure breadth and depth in data science and materials science and engineering.

STEM-OPT for international students on F-1 visas

This program may be eligible for an Optional Practical Training extension for up to 36 months. This OPT work authorization term may help international students gain skills and experience in the U.S. Those interested in an OPT extension should review ASU degrees that qualify for the STEM-OPT extension at ASU's International Students and Scholars Center website.

The OPT extension only applies to students on an F-1 visa and does not apply to students completing the degree through ASU Online.

At a glance
Degree requirements

30 credit hours and a thesis, or
30 credit hours including the required applied project course (MSE 593)

Required Core (9 credit hours)
STP 502 Theory of Statistics II: Inference (3), EEE 554 Probability and Random Processes (3) or DSE 501 Statistics for Data Analysts (3)
CSE 511 Data Processing at Scale (3), CSE 512 Distributed Database Systems (3) or IFT 530 Advanced Database Management Systems (3)

Students choose one from the following:
CSE 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)
IFT 512 Advanced Big Data Analytics/AI (3)
MAE 551 Applied Machine Learning for Mechanical Engineers (3)
STP 550 Statistical Machine Learning (3)

Concentration (12 credit hours)

Electives (3 or 6 credit hours)

Culminating Experience (3 or 6 credit hours)
MSE 593 Applied Project (3)
MSE 599 Thesis (6)

Additional Curriculum Information
Students should consult the academic unit for a list of approved electives and concentration course requirements.

Courses selected for 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.

Admission requirements

Applicants must fulfill the requirements of both the Graduate College and the Ira A. Fulton Schools of Engineering.

Applicants are eligible to apply to the program if they 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:

  1. graduate admission application and application fee
  2. official transcripts
  3. written statement
  4. professional resume
  5. 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. Applicants demonstrate proficiency in the English language by scoring at least 90 on the TOEFL iBT; 7 on the IELTS; or 115 on the Duolingo English test regardless of their current residency.

All applicants must demonstrate relevant coursework or experience in the following three areas:

  • familiarity with Matlab, Python, SQL, R, or other relevant programming skills (in the professional resume)
  • undergraduate linear algebra (e.g., MAT 242 Elementary Linear Algebra)
  • undergraduate statistics or probability (e.g., IEE 380 Probability and Statistics for Engineering Problem Solving; STP 420 Introductory Applied Statistics; STP 421 Probability; EEE 350 Random Signal Analysis)

In addition, applicants without 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:

  • AWS certified cloud practitioner
  • Google data analytics certificate
  • Google IT support certificate
Tuition information
When it comes to paying for higher education, everyone’s situation is different. Students can learn about ASU tuition and financial aid options to find out which will work best for them.
Application deadlines
Session A/CIn Person 12/31Priority
Session A/CIn Person 07/31Priority
Career opportunities

Materials science engineers with a background in data science can pursue opportunities in a variety of fields to manage and analyze data and extract knowledge from large data sets for decision-making, including in the following industries:

  • aircraft design
  • energy systems
  • manufacturing
  • product design
  • semiconductors
Contact information
What are accelerated programs?
Accelerated programs allow students the opportunity to expedite the completion of their degree.

3 year programs

These programs allow students to fast-track their studies after admission and earn a bachelor's degree in three years or fewer while participating in the same high-quality educational experience of a 4-year option. Students should talk to their academic advisor to get started.

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. Acceptance to the graduate program requires a separate application. 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.
What are concurrent programs?
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.
What are joint programs?
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.

What constitutes a new program?
ASU adds new programs to Degree Search frequently. Come back often and look for the “New Programs” option.
What are online programs?
ASU Online offers programs in an entirely online format with multiple enrollment sessions throughout the year. See for more information.
What is WRGP (Western Regional Graduate Program)?
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:

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