

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
Arizona State University is one of the finest universities in USA. Arizona State University provides MS in Data Science, Analytics and Engineering at PG level. The duration of this course is 18 to 24 months. This course attracts students from all over the world.
To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the Arizona State University include standardized tests like IELTS, TOEFL, PTE, Duolingo and GRE.
The first year tuition fees Arizona State University for MS in Data Science, Analytics and Engineering is USD 26,248. Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc. The average cost of living at Arizona State University is USD 14,684.
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹25.74 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
- Overview
- Fees
- Curriculum
- Entry Requirements
- Application Process
- Rankings
- Placements
- Highlights
- Scholarships
MS in Data Science, Analytics and Engineering at Arizona State University Fees
The fee structure of the MS in Data Science, Analytics and Engineering at Arizona State University forms an important part of any decision-making process. The tuition fees in the first year will be USD 26,248 and are compulsory for all students. However, this is only a part of the wider picture.
Apart from tuition cost students also need to consider living expenses, including accommodation, food, utilities. The Arizona State University cost of living is USD 14,684. One must take into consideration the fact that individual spending habits and any fees charged at Arizona State University might also affect the overall cost.
The table below comprises a concise summary of the structural divisions pertaining to the fee allocation for MS in Data Science, Analytics and Engineering course in Arizona State University.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 25,74,235 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 15,84,895 |
| Insurance | INR 2,60,423 |
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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- Register for TOEFL iBT® Test Today and get Rs 500 Off. Use code SHIKTOEFL to avail the discount. Hurry Register now for TOEFL

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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- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- 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
Decision to study at either USF or ASU or University at Buffalo depends on students' choice. The factors that may be responsible for the decision are tuition fee, scholarships, faculty etc. Check the table mentioned below:
As per Shiksha, the overall rating of ASU is 3.9. A few of the component rankings of the university are 3.8 for post-study jobs, 4.3 for student life, 3.6 for internships, 4.2 for quality of faculty, 4.2 for safety, etc. According to reviews posted by students on Shiksha, here are some of the takeaways for ASU:
- The libraries at Arizona State University are well-equipped with the latest technology
- ASU is a great university for UG studies. People at this university are very welcoming. Also, there are 1000+ students clubs that one can join to experience a great student life
- The faculty at ASU is fun loving, understanding, and helpful. The university has a great campus too
ASU offers a number of Engineering programs through its Ira A. Fulton Schools of Engineering. The Engineering programs of the university are top-rated and highly ranked. A top-ranking publisher has ranked ASU #126-150 for its Engineering programs in the world. Meanwhile, another ranking publisher has ranked ASU #27 in Aerospace Engineering, #54 in Biomedical Engineering, #48 in Chemical Engineering, and #23 in Mechanical Engineering in the United States.
With the approval as per the academic unit, full-time or part-time internships are allowed in Spring, Fall, and Summer. Academic justification is required for full-time internships during the Fall or Spring semesters. For UG students, part-time internships are recommended in the Spring and Fall semesters. The internships are allowed for international students at ASU as given below:
- Undergraduate: At least 1 credit hour per internship experience in addition to or included as part of degree requirements
- Graduate: At least 1 credit hour per experience in addition to or included as part of degree requirements
Eligibility for Internship
- UG students that meet the CPT eligibility requirements with a minimum of 3.0 GPA (or otherwise good academic standing)
- PG students that meet the CPT eligibility requirements with a minimum of 3.0 GPA. A lower GPA may be allowed for summer internship. Note that pre-requisite courses are required. Also, graduate students must submit any required iPOS changes in advance of the application
Also Check: Internships and Jobs in USA
Arizona State University MBA graduates are hired by some of the top global emploters like Amazon, Honeywell, Intel Corp., Bank of America, etc. International students can check the below table for Arizona State University top employers that hires MBA graduates:
Top Employers of 2022 | |
|---|---|
Amazon | McKinsey & Co. |
Applied Materials | Intel Corp. |
Dell Inc. | KPMG LLP |
Bank of America | Raytheon Co. |
American Express | Microsoft |
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 | |
| #145 | |
| #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
The duration of the Arizona State University MBA programme is 21 months. It is a STEM-designated full-time MBA program. Since this is a STEM-designated degree, this course allows eligible graduates on student visa access to an OPT extension for up to 36 months, helping international students gain additional real-world skills and experience in the US. Also, students can customize their MBA in any of the specializations such as Finance, Business Analytics, Marketing, Consulting, etc.
ASU admission requirements for the MSBA course are given below:
- Resume
- Admission essay
- Recommender (s) contact information
- Application fee
- Academic transcripts
- Application fee of USD 115
- TOEFL / PTE / IELTS / Duolingo test scores
According to the 2023 employment statistics, ASU employment statistics for various courses are listed below:
- 96% of Arizona State University MBA graduates of the Class of 2023 accepted a full-time job offer within 90 days of graduation. The average salary of the MBA graduates is USD 146,719 (including bonus)
- For the Master of Accountancy – Data Analytics graduates, ASU employment rate is 100% six months after graduation
- Arizona State University Master of Business Analytics, 87% is the placement rate 6 months after graduation
- For the Master of Taxation course of this university, 95% is the placement rate 6 months after graduation
- For UG students of the Class of 2023, the average salary is USD 65,839 (Around INR 57.4 lakh)
The top hiring companies of Arizona State University MBA Class of 2023 are IBM, Amazon, Intel, Microsoft, Northrop Grumman, Honeywell, etc. Furthermore, students graduating with skills in Finance from ASU are hired by the top companies given below:
- EY
- Goldman Sachs Group, Inc.
- HSBC
- Bank of America
- Morgan Stanley
- Lockheed
- Capital One
F-1 students of Arizona State University are allowed to work on-campus. But, there are limitations with the number of working hours per week. So, international students can work 20 hours per week for Fall / Spring semesters. But, in the times of break in the Summer semester / Winter semester / Spring break, students can work for 40 hours per week. Also, check the eligibility requirements before taking part-time work.
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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