

MS in Data Analytics Engineering
- Public University
Volgenau School of Engineering
MS in Data Analytics Engineering at George Mason University Overview
MS in Data Analytics Engineering at George Mason University is a popular program among Indian students. For admission to this course, which has 18 to 24 months, an Indian student needs to be eligible and submit documents. The documents to be submitted are academic qualifications, standardised text and language test score, resume and others. English language tests accepted by the university such as IELTS, TOEFL, PTE and Duolingo. The first-year tuition fee for this course at the time of admission is USD 25,419. Also, there is regular spending on food, travel, staying, books, supplies and others. The annual cost of living is typically USD 16,120 at George Mason University.
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹23.78 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 Analytics Engineering at George Mason University Fees
Students are required to pay the first-year tuition fee as per the George Mason University MS in Data Analytics Engineering fee structure. In addition to tuition costs students should budget for
- housing
- food
- other utilities
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 23,77,824 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 8,59,987 |
| Insurance | INR 2,99,958 |
MS in Data Analytics Engineering at George Mason University Curriculum
Here, candidates can click the green button below to download and view the George Mason University MS in Data Analytics Engineering. Subjects taught, electives offered, and other course material are all included in the curriculum PDF. It also discusses how the course structure is divided in each semester.
Download exam sample paper
MS in Data Analytics Engineering at George Mason University Entry Requirements
- No specific cutoff mentioned
- No specific cutoff mentioned
- CGPA - 3/4
- Read less
- Students must have UG degree from regionally certified program with reputation for high academic standards and earned GPA of 3/4 or better in their 60 highest level credits.
- While no specific UG degree is required and a background in engineering, business, computer science, statistics, mathematics or information technology is desirable or strong work experience with data/analytics may be used in the program

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- Marks - 80/120
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- Marks - 67/90
- NA
- Marks - 6.5/9
- Overall 6.5 and no minimum subsection score required
- Get a Full FREE IELTS Prep Course with Shiksha Study Abroad – Limited Seats for Weekend & Weekday Batches! Register now for IELTS
- Marks - 120/160
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MS in Data Analytics Engineering at George Mason University Application Process
- Offical Transcripts
- Copy of passport identification page
- Proof of English proficiency scores
- Financial support documents
- A Certificate of Financial Responsibility
- Detailed statement of career goals and professional aspirations
-
University offers installment plan to their students
- Payment plans have a $30 setup fee charged each semester.
- Enroll in a payment plan so students can pay their balance in installments.
- A $30 setup fee will be charged at time of enrollment, this fee will need to be paid online during enrollment in the payment plan.
MS in Data Analytics Engineering at George Mason University Rankings
| Rank | Rank Publisher |
|---|---|
| #71 | |
| #301 | |
| #601 |
George Mason UniversityStudents Ratings & Reviews
- 67% students never faced discrimination in this university
MS in Data Analytics Engineering at George Mason University Highlights
- The MS in Data Analytics Engineering is a Volgenau multidisciplinary degree program, administered by the Department of Statistics, and is designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making
- Students study topics such as data mining, information technology, statistical modeling, predictive analytics, optimization, risk analysis, and data visualization. It is aimed at students who wish to become data scientists and analysts in finance, marketing, operations, business/government intelligence and other information-intensive groups generating and consuming large amounts of data
- The masters in data analytics engineering are designed to provide students with an understanding of the technologies and methodologies necessary for data-driven decision-making. Topics cover data mining, information technology, statistical models, predictive analytics, optimization, risk analysis, and data visualization
MS in Data Analytics Engineering at George Mason University Scholarships
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MS in Data Analytics Engineering at George Mason University Contact Information
4400 University Drive, MSN 4C3
Fairfax, VA 22030 USA
Fairfax ( Virginia)
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