

MS in Survey and Data Science (STEM)
- Public University
College of Behavioral and Social Sciences
MS in Survey and Data Science (STEM) at University of Maryland Overview
University of Maryland is among the popular universities to study MS in Survey and Data Science (STEM) from abroad. The duration of MS in Survey and Data Science (STEM) program is 2 years. The first-year University of Maryland tuition fee for MS in Survey and Data Science (STEM) is around USD 27,301. Indian students are required to plan their cost of living (accommodation, groceries, insurance, utilities, etc.) apart from tuition fees to study at the university. Indian students must meet the University of Maryland admission requirements to study the course. Indian students must submit an online application by the course deadline to get into the university.
Duration | 2 years Get Curriculum |
Tuition & Fees | ₹24.21 Lakh Get Fees details |
International Students Admission Website | Go to Website |
Official Career Service Website | Go to Website |
Course Level | PG Degree |
MS in Survey and Data Science (STEM) at University of Maryland Fees
When planning for the MS in Survey and Data Science (STEM), applicants should consider the financial aspects involved. Every student must pay the first-year tuition fee of USD 27,301. Additionally it is also important to account for living expenses such as accommodation, food, and utility costs. Such expenses may vary according to living styles and other fees added by the University of Maryland. To know about the complete breakdown of the University of Maryland MS in Survey and Data Science (STEM) fee structure and all other cost-element-wise expenditures for an elaborate cost overview, please check the table below.
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 24,20,780 |
| Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 2,41,537 |
| Application fees | INR 6,650 |
MS in Survey and Data Science (STEM) at University of Maryland Curriculum
Here, candidates can click the green button below to download and view the University of Maryland MS in Survey and Data Science (STEM). 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 Survey and Data Science (STEM) at University of Maryland Entry Requirements
- No specific cutoff mentioned
- CGPA - 3/4
- Applicants must hold at least a BS or BA degree with a minimum 3.0 GPA (on a 4.0 scale)

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- N/A
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- If applicants' 3 year Bachelor’s would qualify them for admission to academic graduate programs in the country in which it was earned, then they are welcome to submit an application which will be reviewed by the department to determine whether they are a strong enough candidate for an exception to be made
- A 3 year Bachelor’s and a Post Graduate Diploma from a nationally recognized institution will also be considered

Calculate your score and check your eligibility at over 2000+ universities.
Out of 10
- Marks - 96/120
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- Speaking 22
- Listening 24
- Reading 26
- Writing 24
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- Marks - 68/90
- Writing 68
- Marks - 7/9
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- Listening: 7
- Reading: 7
- Writing: 7
- Speaking: 6.5
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- No specific cutoff mentioned
MS in Survey and Data Science (STEM) at University of Maryland Rankings
| Rank | Rank Publisher |
|---|---|
| #14 | |
| #41 | |
| #56 |
University of MarylandStudents Ratings & Reviews
- 71% students never faced discrimination in this university
MS in Survey and Data Science (STEM) at University of Maryland Highlights
- MS in Survey and Data Science (STEM) is offered by College of Behavioral and Social SciencesUniversity of Maryland.
This a 15 level program of a course duration of 2 Years.
Download the brochure to read more details of this course.
MS in Survey and Data Science (STEM) at University of Maryland Scholarships
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MS in Survey and Data Science (STEM) at University of Maryland Contact Information
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