

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 | ₹22.55 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 22,55,428 |
| Fees components | Amount (for 1 year) |
|---|---|
| Hostel & Meals | INR 14,30,328 |
| Insurance | INR 2,94,939 |
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 a regionally accredited program with a reputation for high academic standards and an earned GPA of 3 or better in their 60 highest level credits
- Students should have completed a degree in Engineering, Business, Computer science, Statistics, Math or Information technology with demonstrated foundational competence in Calculus, Statistics and Computer programming
- Students without that formal academic preparation but with clear evidence of strong and extensive work experience in data or analytics may also be considered on a case by case basis

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Out of 10

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Out of 10
- Marks - 80/120
-
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- Marks - 67/90
- NA
- Marks - 6.5/9
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- Marks - 120/160
- NA
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- Yes
- Read lessA graduate applicant who does not meet the minimum admission standards may, at the discretion of the academic unit or program, be offered conditional admission if sufficient evidence is presented to suggest that the applicant has the ability to pursue graduate coursework. Conditional admission may be offered to an applicant who must first satisfy set of conditions prior to being admitted into the graduate program and allowed to enroll in graduate courses at George Mason University.
MS in Data Analytics Engineering at George Mason University Application Process
- Detailed statement of career goals and professional aspirations.
- Completed self-evaluation form
- ELP Scores
- Transcripts
-
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)

