Master Of Science in Data Science

Master Of Science in Data Science

Florida International University

Miami, Florida, USA
Master Of Science in Data Science
Duration1.5 - 2 Years
LevelMasters Program
  • The School of Computing and Information Sciences at Florida International University offers a Master of Science degree in data science
  • The faculty embodies a broad range of computing interests and has built dynamic and innovative research centers and groups around several areas of specialization. These includes:
    • Database Systems, including database design, database management and applications, database theory and implementation, database machines, distributed databases, information retrieval in heterogeneous databases, multimedia databases, data mining, and digital libraries
    • Software Engineering, including large-scale software design, programming language environments, software development and maintenance methodologies, object-oriented techniques, software reuse, and software quality assurance
    • Parallel and Distributed Systems, including formal specification methodologies, distributed file systems, distributed multimedia systems, and operating systems
    • Computer Networks, including network protocols, multimedia networking, and wireless communications
    • Theory, including algorithms and data structures, programming languages, computer security, program verification, and logic
    • Artificial Intelligence, including neural networks, expert systems, automated reasoning, term rewriting systems and intelligent tutoring systems
    • Cognitive Science, with emphasis on the philosophical, psychological and linguistic underpinnings of artificial intelligence
    • Bioinformatics and Computational Biology
    • Computer Science Education
  • Five elective courses are to be selected from a set of elective graduate courses per chosen track
    • Computational Data Analytics
    • Business Analytics
    • Biostatistics Data Analytics
Fees componentsAmount
Tuition & fees1257677 INR
Hostel & Meals671904 INR
Insurance194672 INR
Transportation226312 INR
Books and supplies73240 INR
Personal Expenses177827 INR
Fee29150 INR
Professional Development Fee36620 INR
Total1409725 INR

Entry Criteria

Class 12thNo specific cutoff mentioned
Bachelors3.0 GPA
  • A bachelor’s degree that is appropriate for the selected specialization, from a regionally accredited institution
    • Computational Data Analytics students are required to have a bachelor’s degree in computer science, computer engineering, information technology, mathematics, statistics, or a related discipline. Students seeking to specialize in other tracks are required to have the appropriate academic background
    • Business Analytics students are required to have a highly quantitative undergraduate business degree, including Accounting, Finance or Information Systems. The program also encourages applicants with degrees in Computer Science, Industrial Engineering, Mathematics, and Statistics. Applicants with several years of work experience in a quantitative role would also be competitive absent a relevant undergraduate degree and coursework completed
    • Biostatistics Data Analytics students are required to have the appropriate background as judged by the track’s Admissions Committee
  • ‘B’ average or better in all coursework attempted while registered as an upper-division student in the bachelor’s program (3.0 on a 4.0 scale). Applicants should have achieved undergraduate grades of B (at a minimum) in all undergraduate mathematics, statistics, and quantitative methods coursework
ExamsTOEFL: 80

IELTS: 6.5

GRE: Accepted
  • GRE scores with a minimum quantitative score of 148
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