Master of Science in Data Analytics

Master of Science in Data Analytics

University of Central Florida

Orlando, Florida, USA
Master of Science in Data Analytics
Duration16 Months
LevelMasters Program
  • The Master of Science in Data Analytics program provides students with the ability to develop algorithms and computer programs for discovery of information from large amounts of data
  • This includes the architecture of programs, as well as technical details of algorithm development
  • Students in this nonthesis program receive a broad background in the areas of parallel programming, machine learning, data mining, and network science while specializing in particular areas of data analytics practice
  • Students successfully completing this program will have exhibited breadth as well as the depth of capability involving the discovery of knowledge from big data
  • Students will study courses like Parallel and Distributed Database Systems, Parallel and Cloud Computation, Data Mining Methodology I, Project in Data Analytics, Statistical Analysis, etc.
Fees componentsAmount
Tuition & fees1768160 INR
Insurance214081 INR
Transportation136666 INR
Books & Supplies87888 INR
Personal Expenses227337 INR
International Student Fee7324 INR
ID Service & Access Fee732 INR
Material & Supply Fee5127 INR
Equipment Fee6592 INR
Miscellaneous Expenses140621 INR
Total826368 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
Bachelors3.0 GPA
  • Applicants must have earned a bachelor’s degree from an accredited institution with a GPA of 3.0 or better
  • A graduate degree or professional degree or equivalent from a regionally accredited U.S. institution or its equivalent from a foreign institution in a field related to the discipline of the program to which the student is applying.
  • An undergraduate degree in Computer Science, Statistics, Information Technology, or Computer Engineering is desirable but not required
  • Applicants without a strong undergraduate background in Computer Science or Statistics must demonstrate an understanding of the material covered in the following undergraduate courses:
    • Computer Science II – Algorithms, Data Structures
    • Object-Oriented Programming – Object-Oriented Programming Concepts, Expression of Concepts in a Language
    • Database Systems – Relational Databases, Structured Query Language
    • Statistical Methods I – Probability Distributions, Data Organization
    • Statistical Methods III – Regression Analysis
ExamsTOEFL: 80

IELTS: 6.5

GRE: Accepted

Additional info
  • Face-to-face or telephone interviews may be conducted for admission
  • Applicants who have earned a degree from a university at which English is the only official language of instruction are exempt from the TOEFL or IELTS requirements
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