

MS in Data Science, Analytics and Engineering
- Public University
Ira A. Fulton School of Engineering
MS in Data Science, Analytics and Engineering at Arizona State University Overview
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹28.07 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Data Science, Analytics and Engineering at Arizona State University Fees
For enrolling at the Arizona State University, for MS in Data Science, Analytics and Engineering, students must pay the tuition and living cost. Moreover, the Arizona State University MS in Data Science, Analytics and Engineering fee structure can vary from domestic to international students.
International students must pay the USD 26,248 for the first year. Along with this, they must be ready for other costs of living such housing, food, transportation, books and supplies, and other miscellaneous expenses. The average Arizona State University cost of living for international students is USD 14,684. Check out Arizona State University MS in Data Science, Analytics and Engineering on the fee breakup, from the table mentioned below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 28,07,444 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 17,28,477 |
| Insurance | INR 2,84,015 |
MS in Data Science, Analytics and Engineering at Arizona State University Curriculum
Latest curriculum for MS in Data Science, Analytics and Engineering at Arizona State University can be downloaded from the below link. The curriculum PDF has semester wise course structure, electives and detailed course content. You can also check course curriculum of other specializations offered in MS at Arizona State University
Download exam sample paper
MS in Data Science, Analytics and Engineering at Arizona State University Entry Requirements
- No specific cutoff mentioned
- CGPA - 3/4
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- 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 they must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program
- All applicants must demonstrate relevant coursework or experience in the following three areas:
- 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)
- undergraduate linear algebra (e.g., MAT 242 Elementary Linear Algebra)
- familiarity with Matlab, Python, SQL, R, or other relevant programming skills (in the professional resume)
- 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 IT support certificate
- Google data analytics certificate

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 90/120
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Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- No specific cutoff mentioned
NA
- Marks - 7/9
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- No specific cutoff mentioned
- A GRE is required
- Marks - 115/160
MS in Data Science, Analytics and Engineering at Arizona State University Frequently Asked Questions
MS in Data Science, Analytics and Engineering at Arizona State University Application Process
- Official transcripts
- written statement
- GRE scores
- Proof of English proficiency
- Copy of passport
MS in Data Science, Analytics and Engineering at Arizona State University Rankings
| Rank | Rank Publisher |
|---|---|
| #28 | |
| #135 | |
| #151 |
MS in Data Science, Analytics and Engineering at Arizona State University Placements
| Particulars | Statistics (2025) |
|---|---|
| Internship Available | Yes, Internship (CPT) is available to both domestic and international students. International students need to be aware of immigration policies and regulations to not jeopardize their academic status. It i Internship (CPT) is available to both domestic and international students. International students need to be aware of immigration policies and regulations to not jeopardize their academic status. It is strongly recommended that international students consult the International Students and Scholars Center (ISSC). Students will be required to submit the required documentation to obtain work authorization from ISSC. |
MS in Data Science, Analytics and Engineering at Arizona State University Students also asked
Arizona State UniversityStudents Ratings & Reviews
- 33% students never faced discrimination in this university

MS in Data Science, Analytics and Engineering at Arizona State University Highlights
- The burgeoning field of data science, including aspects of probability/statistics, machine learning and data engineering, is becoming fundamental to the practice of engineering.
- The Master of Science in Data Science, Analytics, and Engineering(DSAE) enables students to develop not only their core expertise in their selected concentration but also to enhance their statistical and data science skills through interdisciplinary courses offered within and beyond engineering
- This program offers multiple concentrations. These concentrations are hosted in different engineering schools
- Computing and Decision Analytics concentration
Electrical Engineering concentration
Bayesian Machine Learning concentration
Computational Models and Data concentration
Materials Science and Engineering concentration
Mechanical and Aerospace Engineering concentration
Sustainable Engineering and Built Environment concentration
Human Centered Applications concentration
MS in Data Science, Analytics and Engineering at Arizona State University Scholarships
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