Dec 18, 2024

2020-2021 Graduate Catalog

2020-2021 Graduate Catalog [ARCHIVED CATALOG]

Bioinformatics Data Science (PhD)

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:

Bioinformatics Data Science Core: 9 Credits
Prerequisites*: 3-9 Credits
Electives: 6 Credits
Seminar: 3 Credits
Research: 6 Credits
Doctoral Dissertation: 9 Credits

*Direct Admit Students

Total number of required credits: 33-42

A. Bioinformatics Data Science Core:

9 credits

Bioinformatics:

BINF 644 - Bioinformatics Credit(s): 3

Data Science:

6 credits

BINF 694 - Systems Biology I Credit(s): 3
BINF 695 - Computational System Biology Credit(s): 3
or
Systems Biology recommended elective upon approval by dissertation committee and Graduate Program Director.

System Biology:

Choose one of the following:

BINF 694 - Systems Biology I Credit(s): 3
BINF 695 - Computational System Biology Credit(s): 3
Systems Biology recommended elective upon approval by dissertation committee and Graduate Program Director.

Data Analytics:

Choose one of the following:

CISC 681 - Artificial Intelligence Credit(s): 3
CISC 683 - Introduction to Data Mining Credit(s): 3
CISC 684 - Introduction to Machine Learning Credit(s): 3
NURS 844 - Population Health Informatics Credit(s): 3
Data Analytics recommended elective upon approval by Dissertation Committee and Graduate Program Director.

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

Introduction to Discipline:

Choose one of the following:

BISC 609 - Molecular Biology of the Cell Credit(s): 3
BISC 654 - Biochemical Genetics Credit(s): 3
BINF 690 - Programming for Bioinformatics Credit(s): 3
PLSC 667 - Seminar: Applications of Genome Science: From Microbes to Mammals

Database:

Choose one of the following:

BINF 640 - Databases for Bioinformatics Credit(s): 3
CISC 637 - Database Systems Credit(s): 3

Biostatistics:

Choose one of the following:

STAT 611 - Regression Analysis Credit(s): 3
STAT 656 - Biostatistics Credit(s): 3

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.

BINF 865 - Seminar Credit(s): 0-1

E. Research:

6 Credits

BINF 868 - Research Credit(s): 1-6 - Until successful completion of preliminary exam(1-6)
BINF 964 - Pre-Candidacy Study Credit(s): 3-12 - Until successful completion of candidacy exam (1-6)

F. Doctoral Dissertation:

9 Credits

BINF 969 - Doctoral Dissertation Credit(s): 1-12

Bioinformatics Data Science (PhD)

Overview of Degree Requirements

Credit Requirements:

Total number of required credits: 33-42

A. Bioinformatics Data Science Core:

Bioinformatics:

Data Science:

System Biology:

Data Analytics:

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

Introduction to Discipline:

Database:

Biostatistics:

Note:

C. Electives:

D. Seminar:

E. Research:

F. Doctoral Dissertation:

Last Revised for 2019-2020 Academic Year