Computational Data Analytics & Artificial Intelligence students are required to have a bachelor’s degree in computer science, computer engineering, information technology, mathematics, or a related discipline. Students seeking to specialize in other tracks are required to have the appropriate academ
Minimum Admissions Requirements
A bachelor’s degree that is appropriate for the selected specialization, from a regionally accredited institution.
Computational Data Analytics & Artificial Intelligence students are required to have a bachelor’s degree in computer science, computer engineering, information technology, mathematics, 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 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.
Public Policy Analytics students are required to have a high proficiency in quantitative and data analysis and have undergraduate degrees in 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’ work experience in a quantitative role would also be competitive absent a relevant undergraduate degree and coursework completed.
‘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.
For applicants whose native language is not English, English proficiency exam scores of at least 550 (paper-based) or 80 (internet-based) on the TOEFL or 6.5 on the IELTS. English proficiency exam exemptions are based on the country in which the applicant completed their undergraduate degree, not on nationality.
Duolingo is being accepted through Fall 2023 term. A minimum score of 110 is required. Official test scores must be reported.
GRE is currently being waived through fall 2023 admission cycles.
Required Documents
Online graduate application/application fee.
Beginning January 15th, 2023, official courses-by-course evaluation is required from a NACES member credential evaluation service for all international post-secondary (college or university) course work. The evaluation must come directly from the evaluation service to FIU certified as an official document. FIU only accepts secure transcripts of post-secondary school records and these must be received via official channels of mail or authorized electronic transmission. All credentials and documents submitted to the Office of Admissions become the property of FIU. FIU will not return original documents to the applicant or forward to other institutions.
If applicable, Official TOEFL and Duolingo scores must be reported by the testing agency.
The ETS school code for the TOEFL exam is 5206.
IELTS can be verified directly by admissions. Plesae be sure to upload or email a copy of your official IELTS score card.
GRE is currently being waived through fall 2023 admission cycles.
If admitted, All foreign educated students are required to provide proof of Degree / Diploma. This can be submitted upon arrival at FIU.
Three letters of recommendation.
Supporting Documents
Statement of purpose
Resume
3 Letters of Recommendation
Immigration Documents
These forms are required for international students only.
Bank and Sponsor Letter
Declaration and Certification of Finances
F-1 Transfer Form (if currently residing in the U.S. on an F-1 visa)
FIU is Miami's public research university. Offering bachelor's, master's, and doctoral degrees, both on campus and fully online, FIU is worlds ahead in its service to the academic and local community.
Designated as a top-tier research institution, FIU emphasizes research as a major component in the university's mission. The Herbert Wertheim College of Medicine and the Knight Foundation School of Computing and Information Sciences' Discovery Lab, are just two of many colleges, schools, and centers that actively enhance the university's ability to set new standards through research initiatives.
For over four decades, FIU has positioned itself as one of South Florida's anchor institutions by solving some of the greatest challenges of our time. We are dedicated to enriching the lives of the local and global community. With a student body of more than 56,000, we are among the top 10 largest universities in the nation and have collectively graduated more than 275,000 alumni, 165,000 of whom live and work in South Florida.
Vision
Florida International University will achieve exceptional student-centered learning and upward economic mobility, produce meaningful research and creative activities, and lead transformative innovations locally and globally, resulting in recognition as a Top-50 public university.
Mission
Florida International University is an urban, multi-campus, public research university serving its students and the diverse population of South Florida. We are committed to high-quality teaching, state-of-the-art research and creative activity, and collaborative engagement with our local and global communities.
The Master’s program in Data Science and Business Analytics (DSBA) is an interdisciplinary program at the intersection of business, computer and information sciences, statistics, and operations research.
The Master of Science in Data Science program provides a strong foundation in the emerging area of data science, with foci on data management and accountability, visualization and communication, and computational, algorithmic and applied processing techniques.
Gain the deep technical knowledge and interdisciplinary skills needed to turn massive data sets into insights organizations can use. Study data management, statistics, machine learning, data visualization and human-centered design. Collaborate in small teams on data analysis projects.
The Master of Science in Statistics and Data Science, offered by the Department of Mathematics, provides students with training in the statistical analysis of data sets, as well as in state-of-the-art data mining techniques.
Data has become one of the most critical tools in shaping our economy, society, and culture. Now more than ever we need people who can understand this untapped resource and draw conclusions so vital to future success.
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