Ramin Homayouni, PhD
Room 402, Smith Chemistry Bldg.
Master of Science in Bioinformatics
All graduate students must comply with the general requirements of the Graduate School
(see Admissions Regulations, Academic Regulations, and Minimum Degree Requirements) as well as the program requirements of the degree being pursued.
Bioinformatics is an emerging multidisciplinary field which combines mathematical
and computer science approaches to solve biological problems. The Master’s in Bioinformatics
is designed to train highly skilled individuals with fundamental understanding of
computer programming and data structures, statistical analysis of data, as well as
genomics and systems biology.
A. Admission Requirements
- GRE scores are required and are an important factor for admission;
- Two letters of recommendation;
- A minimum score of 550 on the paper-based TOEFL, or 80 on the internet-based TOEFL
(for students whose native language is not English);
- Undergraduate degree in biology, computer science, or related field with a minimum
GPA of 3.0 on a 4.0 scale.
Satisfactory completion of at least two undergraduate level courses in each of the
following disciplines: biology, mathematics and computer science. Students should
have some background in computer programming, data structures, statistics, and molecular
biology. Students deficient in prerequisite courses will be considered on a case-by-case
C. Program Requirements:
Candidates must satisfactorily complete 36 credit hours of graduate course work, 26
hours of which must be 7000 level or higher) as approved by the Program Advisor and
distributed as follows:
- Major Field Core (14 credit hours):
BINF 7970 Curr Lit Bioinformatics (1 semesters required)
BINF 7980 Research Seminar in Bioinformatics (1 semesters required)
COMP 6030 Introduction to Algorithms or COMP 7712 Algorithms Implementation and Problem
COMP 7295 Introduction to Bioinformatics
MATH 6635 Introduction to Probability Theory
MATH 7643 Least/Sq/Regr Analysis
- Biology: 6 credit hours chosen from:
BIOL 7131 Cell and Molecular Biology
BIOL 7701 Introduction to Genomics & Bioinformatics
BIOL 7440 Molecular Biology of Cancer
BIOM 7004 Life Sciences for Biomedical Engineering I
- Electives: 6-12 credit hours chosen from:
BIOL 6470 Molecular Genetics
BIOL 6480 Cellular and Molecular Pharmacology
BIOL 7704 Problems Genome Science
BIOM 7110 Biostatistics
COMP 6014 Intro to Java Programming
COMP 6081 Software Engineering
COMP 6262 Programming in UNIX
COMP 6601 Models of Computation
COMP 7012 Foundations of Software Engineering
COMP 7115 Database Systems
COMP 7116 Advanced Database Systems
COMP 7118 Data Mining
COMP 7212 Operating and Distributed Systems
COMP 7282 Evolutionary Computations
COMP 7612 Foundations of Computing
COMP 7740 Neural Networks
COMP 7780 Natural Language Processing
MATH 6607 Introduction to SAS Programming
MATH 6636 Intro Statistical Theory
MATH 7221 Stat Gene Expression
MATH 7607 Advanced Programming in SAS
MATH 7608 Statistical Programming with R
MATH 7641 Analysis of Variance
MATH 7642 Design of Experiments
MATH 7643 Regression Analysis
MATH 7647 Nonparametric Methods
MATH 7657 Multivariate Methods
MATH 7660 Applied Time Series Analysis
MATH 7680 Bayesian Inference
MATH 7685 Statistical Computing and Simulation
MATH 7695 Bootstrap and Other Resampling Methods
MIS 7605 Business Database Systems
PUBH 7150 Biostatistical Methods I
PUBH 7152 Biostatistical Methods II
- Thesis: 3 credit hours
BINF 7996 Thesis or BINF 7992 Bioinformatics Project.
BINF 7092 - Research (1-3)
Non-traditional setting in which master's students develop research in consultation with the instructor and the program director that will lead to development of Master's Thesis or Project. Two written reports are required per semester. May be repeated for a total of 12 semester hours. Up to four credit hours may be applied toward the degree requirement. Grades of S/U, or IP will be given.
BINF 7701 - Intro Genomics/Bioinformatics (3)
Accelerated introduction to molecular and genomic sciences, covering basic concepts of gene and protein structure/ function, genome sequencing and annotation, single nucleotide polymorphism, genetic variation, gene expression, and functional genomics and systems biology. PREREQUISITE: Permission of Instructor.
BINF 7970 - Curr Lit Bioinformatics (1)
Lectures, readings, discussions, and oral presentation from current bioinformatics research articles. One class is required to meet degree requirements. PREREQUISITE: permission of instructor.
BINF 7980 - Rsch Sem/Bioinformatics (1)
Current research topics in Bioinformatics. One class is required to meet degree requirements. PREREQUISITE: Permission of Instructor.
BINF 7991 - Bioinformatics Internship (1-3)
Supervised practical experience conducted in industrial, academic research or clinical research organizations. The project must be approved by the program director and may be supervised by any faculty in the program. A written report is required. Up to three credit hours may be applied toward the degree requirement. Grades of S, U, or IP will be given.
BINF 7992 - Bioinformatics Project (3)
Research project conducted in lieu of a Master's thesis under the supervision of a faculty advisor. The project must be approved by the program director and may be supervised by any faculty in the program. A written report and an oral presentation are required for satisfactory completion of the course. Grades of S, U, or IP will be given.
BINF 7996 - Bioinformatics Thesis (1-6)
Supervised research in preparation for advanced degree thesis. May be repeated for up to 6 hours. Grades of S, U, or IP will be given.