 | Master of Science (MS) in Bioinformatics
Mission The mission of the program is to advance the field of bioinformatics/biostatistics by training students in bioinformatics/biostatistics methods research and its application through course work, seminars, workshops and thesis writing. Description
The master of science in bioinformatics is offered through the Department of Biostatistics, Tulane School of Public Health and Tropical Medicine. Through courses in bioinformatics, biostatistics and mathematics, students will be able to develop and apply bioinformatics methods in the field of genomics and proteomics. Coursework includes analysis of microarray data, statistical methods for bioinformatics, mathematical statistics and probability theory, applied and theoretical multivariate methods, stochastic processes, basic epidemiology, and demography, enabling the student to assist in the application of statistical theory to bioinformatics and proteomics data. Students are required to have had courses in calculus and linear algebra before entering this program. After completion of this degree, students will be able to do the following: Design experiments in bioinformatics, analyze gene expression microarray data, analyze DNA and protein sequences; assist in the use of statistical theory to evaluate and use new statistical techniques; and communicate the results of statistical analyses orally and in writing. Program Competencies: - Summarize and describe the fundamental concepts and principles of bioinformatics (BINF 6010)
- Analyze gene expression microarray data (BINF 7160)
- Analyze DNA and proteins sequences data (BINF 7210)
- Select and conduct bivariate statistical analyses. (BIOS 6040)
- Select and conduct simple and multiple linear regression analysis (BIOS 6040, 7060)
- Select and conduct analysis of variance procedures (BIOS 6040, 7080)
- Select and conduct logistic regression analyses and other categorical procedures (BIOS 6040)
- Use the standard statistical software, R in bioinformatics (BINF 6200)
- Estimate sample size and power (BIOS 6040, 7060 7080, BINF 7160)
- Use the principles of probability and mathematical statistics to guide the selection and application of data analysis methods. (MATH 6070, MATH 6080)
Graduation Requirements: Students must earn a minimum of 42 hours of academic credit, with at least 36 hours of coursework and 6 hours of thesis research Course Requirements | 36 hours | credits | | Bioinformatics core | (12 Hours) | | BINF 6010 | Principles of Bioinformatics | 3 | BINF6200 | Bioinformatics Computations using R | 3 | BINF 7160 | Analysis of Gene Expression Microarray Data | 3 | BINF 7210 | Statistical Methods in Bioinformatics | 3 | | | | | | Mathematics core | ( 6 Hours) | | MATH 6070 | Introduction to Probability | 3 | MATH 6080 | Introduction to Statistical Inference | 3 | | | | | | Epidemiology core | (3 hours) | | | EPID 6030 | Epidemiologic Methods I | 3 | | | | | Biostatistics core | (9 hours) | | BIOS 6040 | Intermediate Biostatistics | 3 | BIOS 7060 | Regression Analysis | 3 | BIOS 7080 | Design of Experiments | 3 | | | | | Elective courses | (6 Hours) | BIOS 6220 | Database Management | 3 | BIOS 7090 | Advanced Design of Experiments | 3 | BIOS 7150 | Categorical Data Analysis | 3 | BIOS 7160 | Advanced Categorical Data Analysis | 3 | BIOS 7220 | Nonparametric Statistics | 3 | BIOS 7250 | Principles of Sampling | 3 | BIOS 7300 | Statistical Methods for Survival Data Analysis | 3 | BIOS 7350 | Analysis of Longitudinal & Clustered Data | 3 | BIOS 7400 | Clinical Trials | 3 | BIOS 7420 | Principles of Measurement | 3 | BIOS 7500 | Monte Carlo and Bootstrapping Methods | 3 | BIOS 7600 | Advanced Evaluation Research | 3 | BIOS 7800 | Applied Data Analysis | 3 | BIOS 7820 | Multivariate Methods | 3 | TRMD 6240 | Molecular Biology Methods for Public Health | 3 | TRMD 6230 | Methods in Cell Biology | 3 | CELL 6000 | Ethics in Biological studies/Biomedical Ethics | 3 | CELL 7010 | Cell Biology | 3 | CELL 7110 | Molecular Biology | 3 | CELL 6710 | Molecular Biology of Cancer | 3 | HMGN 7060 | Molecular Genetics | 3 |
Thesis: Students must also complete a thesis. The thesis is a supervised work of scholarship in the area of statistical methodology. The results will be presented orally and in writing. The project will be supervised by a thesis director who is a faculty member of the Biostatistics Department, and reviewed by at least one other member of the Biostatistics faculty. The masters thesis must be completed within a year of completion of the required courses. Thesis Outline.
Model Course Schedule – Fall Entry | Semester | Course | Credit hours | | Fall | MATH 6070 | 3 | | BIOS 6040 | 3 | | BINF 6010 | 3 | | | | | | Spring | BIOS 7060 | 3 | | BIOS 6080 | 3 | | BINF 6200 | 3 | | Elective | 3 | | | | | Fall | EPID 6030 | 3 | | BINF 7210 | 3 | | Elective | 3 | | | | | | | | Spring | BIOS 7080 | 3 | | BINF 7160 | 3 | | Thesis | 6 | | | | | | | | | | | | | | Total coursework credits | 36 | | Thesis credits | 6 | | Total credits | 42 |
Contact: For more information on the MS program in biostatistics, please contact Susan Gautier
Phone: (504)988-2102
Fax: (504)988-1706
Email: sgautie@tulane.edu
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