May 25, 2020  
2019-2020 Graduate Catalog 
    
2019-2020 Graduate Catalog

Bioinformatics Data Science (PhD)


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Overview of Degree Requirements


Students must complete a minimum of 15 hours of coursework, plus 3 credit hours of seminar, 6 credit hours of research and 9 credit hours of doctoral dissertation. Students who are admitted directly after a B.S degree will be required to fulfill the Bioinformatics and Computational Biology M.S. core curriculum by completing an additional 9 credit hours as prerequisites (for a total of 24 coursework credits) in the following areas: Database Systems, Statistics, and Introduction to Discipline. In addition, if students entering the program with an M.S. degree are lacking equivalent prerequisites, they also will be required to complete courses in these three areas; however, these courses may fulfill the elective requirement in the Ph.D. program, if approved in the program of study. Students must maintain a 3.0 cumulative GPA and courses with a grade of C or below will not be counted towards the degree.

Credit Requirements:


  1. Bioinformatics Data Science Core: 9 Credits
  2. Prerequisites*: 3-9 Credits
  3. Electives: 6 Credits
  4. Seminar: 3 Credits
  5. Research: 6 Credits
  6. Doctoral Dissertation: 9 Credits

*Direct Admit Students

 

Total number of required credits: 33-42


A. Bioinformatics Data Science Core:


9 credits

Data Science:


6 credits

System Biology:

Choose one of the following:

Data Analytics:

Choose one of the following:

B. Prerequisites - if required (3-9 credits)*


Introduction to Discipline:


Choose one of the following:

Note:


*Necessary for students lacking equivalent courses

C. Electives:


6 Credits

Please see list of Elective Courses.

D. Seminar:


3 Credits

Must enroll in every semester for the first three years and present one seminar in the second and third years.

E. Research:


6 Credits

F. Doctoral Dissertation:


9 Credits

Last Revised for 2019-2020 Academic Year


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