佛罗里达国际大学

The MS in Data Science is an interdisciplinary degree program designed to provide studies in scientific methods, processes and system to extract knowledge or insights from data in various forms. With 4areas of concentration available, students can pursue a more specialized study in the field, obtaining a higher level of education.

Degree Requirements

When applying, students will select a specialization track among the following: Computational Data Analytics, Business Analytics, and Biostatistics Data Analytics. Students will complete the core and specialization curriculum according to their selected track.

Required Coursework: 12 credits

• CAP 5768 Introduction to Data Science (new course)
• CAP 5771 (or COP 5577) Principles of Data Mining
• STA 6244 Data Analysis I (or equivalent course)
• STA 6247 Data Analysis II (or equivalent course)

For Biostatistics Students only: Replace STA 6244 and STA 6247 with the following Biostatistics equivalents:

• PHC 6052 Biostatistics 1 (equivalent course to STA 6244 Data Analysis I)
• PHC 6091 Biostatistics 2 (equivalent course to STA 6247 Data Analysis II)

Capstone: 3 credits

• ISM 6930 Special Topics in Management Information Systems (for Business Analytics Only), or
• IDC 6940 Capstone Course in Data Science

Specialization Tracks (15 credits)

Several specialization tracks have been developed to cater to enrolled students with different backgrounds, needs, and program specializations. Five elective courses are to be selected from a set of elective graduate courses per chosen track. With the permission of the academic advisor, students may be allowed to combine courses from one or more elective sequences if it enables better thematic specialization.

Computational Data Analytics: 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.