DATASC:MS - Master of Science in Data Science and Artificial Intelligence
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Master of Science in Data Science and Artificial Intelligence - Artificial Intelligence Track
Within this track, students with computing majors can readily design course sequences that help them Artificial Intelligence or Machine Learning.
Master of Science in Data Science and Artificial Intelligence – Computer Data Analytics Track
Within this track, students with computing majors can readily design course sequences that help them specialize in Bioinformatics, Medical Informatics, Financial Computing, Network Traffic Analysis, Computing Forensics, Big Data Algorithms, and much more.
Master of Science in Data Science and Artificial Intelligence - Public Policy Analytics Track
Within this track, students will master the use of statistics, computer science, quantitative methods, and big data tools to create more effective public policies. They will be able to meld machine generated data (e.g. sensors) with citizen gathered data to predict events, mine social media and the internet for behavior patterns, and create effective and appealing data visualization programs to demonstrate the effects of decisions to politicians.
Admissions Requirements for the Master of Science (MS) in Data Science and Artificial Intelligence
The following requirements are in addition to the University’s graduate admission requirements.
(1) Bachelor’s degree in a discipline appropriate for the specialization sought. For example, a specialization in Computational Data Analytics or Artificial Intelligence requires a Bachelor’s degree in Computer Science, Computer Engineering, Information Technology, Mathematics, Statistics, or a related discipline. Students seeking to specialize in other tracks would require an appropriate Bachelor’s degree. A degree in a related field is acceptable if the applicant shows evidence of background suitable for entry int the master’s program as judged by the Graduate Committee. The academic background of each student shall be analyzed to determine if there is need for remedial courses in addition to the required curriculum.
(2) Per FIU's Graduate Admission Criteria and Denial Policy # 380.0443, the applicant should have a minimum of a "B" average (3.0 GPA) in the last 60 credits of upper-level undergraduate coursework.
(3) Foreign students who native language is not English must score at least 550 on the paper-based (or 80 on iBT) Test of English as a Foreign Language (TOEFL), 6.5 overall on International English Language Testing System (IELTS), or 110 on Duolingo.
Required Courses
Students are required to complete 30 credits of graduate level courses. Included in the program are 12 credits of core courses, 15 credits of elective courses, and 3 credits of a capstone course spread out over two semesters.
Students must complete these four courses.
Students in each track must complete three credits of capstone course involving a data analytics project. This course is spread over two semesters.
course is only an option for the Business Analytics Track.
Students must complete five courses from one of the specialization tracks detailed under the Tracks Tab below.
Artificial Intelligence (Knight Foundation School of Computing and Information Sciences)
Business Analytics (Dept. Information Systems and Business Analytics)
Biostatistics Data Analytics (Dept. Biostatistics)
Computational Data Analytics (Knight Foundation School of Computing and Information Sciences)
Public Policy Analytics (Dept. of Public Policy and Administration)
There are no majors associated with this program.
Admissions Requirements for the 4+1 MS in Data Science and Artificial Intelligence Accelerated Degree Pathway
To be considered for admission to the combined bachelor’s/master’s degree pathway, students must have completed 75 credits in the bachelor’s degree program at FIU and meet the admissions criteria for the graduate degree program to which they are applying. Students need only apply once to the combined degree pathway the application is submitted to Graduate Admissions typically before the student starts the last 30 credits of the bachelor’s degree program. A student admitted to the combined degree pathway will be considered to have undergraduate status until the student applies for graduation from their bachelor’s degree program. Only 5000-level or higher courses with a B grade or better, and no more than 12 credits may be applied toward both degrees.
(1) Current enrollment in an approved bachelor's degree program at FIU.
(2) Current GPA must be 3.3 or higher.
(3) Completed prerequisites for the MS in Data Science and Artificial Intelligence program or demonstrated competencies in the specialization areas (the latter option requires approval by the graduate program director of the appropriate specialization area)
Other Curricular Offering: 4+1 MS in Data Science and Artificial Intelligence Accelerated Degree Pathway
With their advisor's approval, students from all undergraduate majors including Computer Science, Information Systems, and Statistics may apply to the Data Science 4+1 degree pathway. If accepted, students will be allowed to take up to 12 credits of graduate data science courses which will apply towards both their undergraduate degree requirements and the MS in Data Science and Artificial Intelligence degree requirements.