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 |
Course Level | PG Degree |
Mode of Course | Full Time |
International Students Admission Website | Go to Website |
Tuition & Fees | ₹22.12 Lakh View full breakup |
Type of University | Public |
Official Career Service Website | Go to Website |
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 Rankings
MS in Data Science, Analytics and Engineering at Arizona State University Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- Read less
- 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 they must have a minimum cumulative GPA of 3.00 (scale is 4.00 = “A”) in an applicable master’s degree program
- At least 4 Years, i.e. 3 year Bachelor + 2 Year Masters. Applicants who have completed a 3 year undergraduate degree and a 1 year postgraduate diploma may be considered where the postgraduate diploma requires a completed bachelors degree for admission
- It is recommended that all applicants have the following background information prior to applying
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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)
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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
- Marks - 90/120
- NA
- No specific cutoff mentioned
- NA
- Marks - 7/9
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- No specific cutoff mentioned
- The Bayesian Machine Learning and Computational Data and Models concentrations do not require the GRE
- Marks - 115/160
- NA
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- Yes
- Read lessASU may offer conditional undergraduate admission to international applicants to an on-campus program who meet the academic (aptitude) requirements but who are not proficient in English. This offer of conditional admission will give you time to improve your English proficiency before you start classes at ASU. Your conditional admission offer is good for up to three semesters, during which time you must meet one of these requirements to begin your ASU experience.
MS in Data Science, Analytics and Engineering at Arizona State University Application Process
- graduate admission application and application fee
- official transcripts
- written statement
- GRE scores (refer to the handbook for more information)
- proof of English proficiency
- Copy of passport
- Financial Statement
- Health proof
MS in Data Science, Analytics and Engineering at Arizona State University Important Dates
MS in Data Science, Analytics and Engineering at Arizona State University Fees
Fees components | Amount (for 1 year) |
---|---|
Tuition & fees | INR 22,11,919 |
Fees components | Amount (for 1 year) |
---|---|
Hostel & Meals | INR 12,37,421 |
Insurance | INR 2,47,332 |
Transportation | INR 2,82,473 |
Graduate Student Fee | INR 22,753 |
Total approximate fees | INR 17,89,979 |
Calculated at the exchange rate of 1 USD = INR 84.27 | Tuition & expenses were last updated on 13ᵗʰ November 2024
MS in Data Science, Analytics and Engineering at Arizona State University Scholarships
Arizona State UniversityStudents Ratings & Reviews
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- Friendly
- Easy going
- Fun loving
- 37% students never faced discrimination in this university
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