

MS in Data Science
- Private University
School of Engineering and Computing sciences
MS in Data Science at New York Tech Overview
New York Institute of Technology is one of the finest universities in USA. New York Institute of Technology provides MS in Data Science at PG level. The duration of this course is 18 to 24 months. This course attracts students from all over the world. To enrol in this course, international students must fulfil all the admission requirements. The admission requirement at the New York Institute of Technology include standardized tests like IELTS, TOEFL, GRE, PTE and Duolingo. The first year tuition fees New York Institute of Technology for MS in Data Science is USD 28,800 (INR 2,764,512). Moreover, the students must be ready for other expenses such as rent, hostel fees, food, books, supplies, utilities, etc.
Duration | 1.5 - 2 years Get Curriculum |
Tuition & Fees | ₹25.58 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 Science at New York Tech Fees
Students interested in pursuing a MS in Data Science from New York Institute of Technology must fulfil the associated monetary requirements that come with the course. The fee structure includes the payment of the first-year tuition fee. Students must also plan for some other costs they may incur associated with living in USA such as rent, food, medical, travel & other expenditures. The cost may vary as per the lifestyle being pursued by the students & some other fees that may be charged by New York Institute of Technology over the duration of studies. The first year tuition fee for MS in Data Science is around USD 28,800 (INR 2,764,512). For a more detailed fee breakdown regarding the MS in Data Science from New York Institute of Technology, refer the table given below:
| Fees components | Amount (for 1 year) |
|---|---|
| Tuition & fees | INR 25,57,973 |
| Application Fee | INR 4,737 |
| Fees components | Amount (for 1 year) |
|---|---|
| Insurance | INR 2,36,849 |
| Mandatory Fees | INR 26,527 |
MS in Data Science at New York Tech Curriculum
Students thinking to pursue New York Institute of Technology MS in Data Science course can check out the green button below to have an idea about the curriculum. This is the curriculum PDF and comprises details such as subjects taught, electives available and other course-related content.
Download exam sample paper
MS in Data Science at New York Tech Entry Requirements
- No specific cutoff mentioned
- CGPA - 2.85/4
- Read less
- Applicants must a UG degree from a accredited College with a GPA of 2.85 or higher on a 4 scale
- Applicants who do not qualify for full matriculation and have a UG GPA between 2.5 and 2.84 may be conditionally admitted at the discretion of the program director
- As data science is an interdisciplinary field University welcome applicants from diverse professional backgrounds. However applicants should have the following prerequisites are
- One computer programming course
- One college-level statistics course
- Basic linear algebra
- Basic database system
- Students with an insufficient background for direct admission into the Data Science M.S. program may be admitted if they take the required prerequisite courses with the approval of the director

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Out of 10

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Out of 10
- Marks - 79/120
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- Marks - 53/90
- NA
- Marks - 6/9
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- No specific cutoff mentioned
- Students of foreign universities with a CGPA below 3.0 (on a 4.0 scale) are required to take the GRE and submit their scores
- Marks - 105/160
- NA
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New York Institute of TechnologyStudents Ratings & Reviews
- 100% students never faced discrimination in this university
MS in Data Science at New York Tech Highlights
- The Data Science, M.S. is designed for students with a computer science or related background interested in pursuing data analytics, machine learning, visualization, and more.
- You'll learn how to employ data science concepts and methods to solve problems in business and scientific contexts and communicate these solutions effectively.
- You'll study computing theory, languages, and algorithms, and use mathematical and statistical models to formulate and implement data analyses and learn to apply them ethically.
- The practical curriculum incorporates case studies in advanced topics of computer architecture from classic and modern processors, including large-scale systems. You may also participate in sponsored research projects alongside faculty members from funding sources such as the Department of Defense.
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