MS in Data Science

MS in Data Science

New York Institute of Technology

Old Westbury, New York, USA
MS in Data Science
Duration1.5-2 Years
LevelMasters Program
  • The NYIT Data Science, M.S. is designed to help professionals and researchers sort through this data tsunami, by providing a fundamental understanding of the methods and algorithms of data science
  • Students are taught how to employ data science concepts and methods to solve problems in business and scientific contexts and to communicate these solutions effectively
  • The program focuses on teaching computing theory, languages, and algorithms, and mathematical and statistical models to formulate and implement data analyses
  • It also helps students to apply ethical practices in everyday technical and business activities to make ethical decisions with respect to the design and use of data management tools
  • Students can choose either Thesis Track or Non-Thesis/Project Track 
Fees componentsAmount
Tuition & fees1757760 INR
Hostel & Meals1171840 INR
Insurance149410 INR
Graduate fee36620 INR
Total1357870 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
BachelorsNo specific cutoff mentioned
  • B.S. degree or it's equivalent from an accredited college or university in computer science or related area with minimum CGPA of 2.85
    • If students have a degree in engineering, an accredited program is one that is accredited by the Engineering Accreditation Commission of the Accreditation Board for Engineering and Technology (ABET)
    • If students have completed degrees in computer science or a closely related field, an accredited program is one taken at a college that is regionally accredited, such as the Middle States Commission on Higher Education
  • Students with an insufficient background for admission into the Data Science M.S. program must satisfy the following prerequisites:
    • Waivable Courses
      • CSCI 125 Computer Programming I (3 credits)
      • CSCI 185 Computer Programming II (3 credits)
      • CSCI 235 Elements of Discrete Structures (3 credits)
      • CSCI 260 Data Structures (3 credits)
      • CSCI 270 Probability and Statistics for Computer Science (3 credits)
      • CSCI 300 Database Management (3 credits)
      • CSCI 312 Theory of Computation (3 credits)
      • CSCI 335 Design and Analysis of Algorithms (3 credits)
    • Additional Prerequisite Courses
      • MATH 170 Calculus I (4 credits)
      • MATH 180 Calculus II (4 credits)
      • MATH 310 Linear Algebra (3 credits)
ExamsTOEFL: 79

IELTS: 6

PTE: 53

GRE: Accepted

Additional info
  • Students with a GPA below 2.85 may, at the discretion of the dean, be asked to take the GRE or other diagnostic tests. Admission will be based upon consideration of test results, previous academic performance, and related employment, if applicable
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