Graduate Certificate in Bioinformatics
This certificate program will provide bioinformatics training for students from diverse backgrounds with interests in applications of mathematics and computer programming in biology. With an interdisciplinary approach, students will be introduced to the use of computational skills, mathematical modeling, and computing techniques to study biology relevant to basic and biomedical sciences in agricultural, environmental, or health-related areas. The training is appropriate for those who have taken introductory courses in biology, mathematics, and computer programming during their undergraduate studies.
Admission Requirements
Admission to the program requires admission to the Graduate School. Prerequisites to admission include Molecular Cell Biology (BIOL 3314), Elementary Data Structures (CS 2401), and Elementary Statistical Methods (STAT 2480), or equivalents, with a minimum grade of "B" in each course.
Degree Plan
This certificate program requires completion of 15 credit hours of courses: Bioinformatics I (BINF 5351), Bioinformatics II (BINF 5352), plus 6 credit hours of elective courses from a prescribed list, and a 3-credit hours free elective course approved by the graduate advisor.
| Code | Title | Hours |
|---|---|---|
| List of Prescribed Elective Courses | ||
| BINF 5110 | Biology Seminar/Bioinformatics | 1 |
| BINF 5111 | Chem. Sem. for Bioinformatics | 1 |
| BINF 5112 | CS Seminar for Bioinformatics | 1 |
| BINF 5113 | Math Sem. for Bioinformatics | 1 |
| BINF 5341 | Anal./Model of Bio Structures | 3 |
| BINF 5354 | Post-Genomic Analysis | 3 |
| BIOL 5316 | Biosystematics | 3 |
| BIOL 5326 | Advances Immunological Concept | 3 |
| BIOL 5329 | Physiology of Bacterial Cell | 3 |
| BIOL 5340 | Structure/Funct Macromolecules | 3 |
| BIOL 5344 | Molecular Pathogenesis | 3 |
| CHEM 5329 | Contem Topics Organic Chemistr | 3 |
| CHEM 5339 | Contemp Topics in Biochemistry | 3 |
| CS 4342 | Database Systems | 3 |
| CS 5341 | Advanced Computer Architecture | 3 |
| CS 5350 | Advanced Algorithms | 3 |
| CS 5351 | Interval Computations | 3 |
| MATH 5330 | Comp Methods of Linear Algebra | 3 |
| MATH 5335 | Techniques in Optimization | 3 |
| STAT 5329 | Statistical Programming | 3 |
| STAT 5336 | Categorical Data Analysis | 3 |
| STAT 5386 | Stochastic Processes | 3 |
| STAT 5388 | Multivariate Data Analysis | 3 |
| STAT 5391 | Time Series Analysis | 3 |
| STAT 5392 | Statistical Computing | 3 |
| STAT 5428 | Intro to Statistical Analysis | 4 |