MS in Data Science, Analytics and Engineering at Arizona State University

Arizona State University (ASU) offers a Master of Science (MS) in Data Science, Analytics, and Engineering through the Ira A. Fulton School of Engineering. This program lasts for 18 months and is designed for students who want to advance their skills in data science and analytics. The total tuition fee for this course is USD 26,248. To apply for the MS in Data Science, Analytics, and Engineering at ASU, students must show their English language skills. The university accepts several tests for this purpose, including IELTS, TOEFL, Duolingo, and PTE.

The growing field of data science, which includes probability, statistics, machine learning, and data engineering, is becoming essential for engineering practices.

The Master of Science in Data Science, Analytics, and Engineering (DSAE) helps students build their main skills in their chosen area while also improving their statistical and data science abilities through courses that span different fields, both within and outside engineering.

This program provides various concentrations, each offered by 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

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12th Grade

No specific cutoff is mentioned for 12th grade.

Graduation

Applicants must have a bachelor’s or master’s degree in computing, engineering, mathematics, statistics, operations research, information technology, or a related field from a recognized institution. They need a minimum GPA of 3.00 in the last 60 hours of their first bachelor’s degree or in an applicable master’s degree program. A total of at least 4 years of education is required, which can include a 3-year bachelor’s degree and a 2-year master’s degree. Applicants with a 3-year undergraduate degree and a 1-year postgraduate diploma may also be considered.

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GRE

Marks: No specific cutoff mentioned

No specific cutoff is mentioned for GRE. However, the Bayesian Machine Learning and Computational Data and Models concentrations do not require the GRE.

TOEFL

Marks: 90.0

The required TOEFL score is 90 out of 120.

IELTS

Marks: 7.0

The required IELTS score is 7 out of 9.

DUOLINGO

Marks: 115.0

The required Duolingo score is 115 out of 160.

PTE

Marks: No specific cutoff mentioned

No specific cutoff is mentioned for PTE.

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Arizona State University Application Process

Step One: Prepare Documents for Application

Gather the following documents before starting your application:

• Curriculum Vitae (CV)
• Professional resume

Step Two: Additional Documents Required

Make sure to include these important documents:

• Graduate admission application and application fee
• Official transcripts
• Written statement
• GRE scores (check the handbook for more details)
• Proof of English proficiency
• Copy of your passport
• Financial statement
• Health proof

Step Three: Start Your Online Application

Begin your application by filling out the online form.

Step Four: Application Fees

The application fee for this course is:

• USD 115 (approximately INR 9.69 Thousand)

Payment method: Credit card

Step Five: Application Deadlines

Be aware of the following application deadlines:

• Fall Semester (August): December 31st
• Spring Semester (January): July 31st

*These dates are tentative and based on previous years. For the exact dates, consult with expert counselors.

Calculated at the exchange rate of 1 USD = INR 84.27 | Tuition & expenses were last updated in December 2024"