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programs and degrees
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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: 

  1. Summarize and describe the fundamental concepts and principles of bioinformatics (BINF 6010).
  2. Select and evaluate bioinformatics approaches for application (BINF 7210).
  3. Analyze and interpret various types of bioinformatics data (BINF 7010, BINF 7300, BINF 7500, and BINF 7600).
  4. Select and conduct statistical analysis, such as bivariate and logistic regression analyses, and analysis of variance procedures. (BIOS 6040, BIOS 7080).
  5. Design and create databases for health science application (BIOS 6220).

 

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)

Bioinformatics Core

 

(18 hours)

 

 

BINF 6010

 

Principles of Bioinformatics

 

3

BINF 7010

BINF 7210

BINF 7300

BINF 7500

BINF 7600

 
 

Population and Quantitative Genetics

Statistical Methods in Bioinformatics        

Bioinformatics Approach to Transcriptomics

Epigenetics and Epigenomics   

Nutritional Genomics

 

3

3

3

3

3

Biostatistics Core

 

(9 hours)

 

 

BIOS 6040

Intermediate Biostatistics

 

3

BIOS 7060

 

Regression Analysis

 

3

BIOS 7080

 

Design of Experiments

 

3

Epidemiology Core

 

(3 hours)

 

 

EPID 6030

 

Epidemiologic Methods I

 

3

Elective courses

 

(6 hours)

 

 

BIOS 6350

BIOS 7060

 

Environmental Biostatistics

Regression Analysis

 

3

3

BIOS 7090

 

Advanced Design of Experiments

 

3

BIOS 7150

 

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 7400

*BIOS 8200

 

Clinical Trials

Causal Inference for Biomedical Informatics

 

3

3

*BIOS 8350

 

Analysis of Longitudinal & Clustered Data

 

3

*BIOS 8500

 

Monte Carlo and Bootstrapping Methods

 

3

*BIOS 8800

 

Applied Data Analysis

 

3

*BIOS 8820

*BINF 8100

 

Multivariate Methods

Statistics in Human Genetics

 

3

3

CELL 6000

CELL 6010

CELL 6030

CELL 6440

CELL 6750

CHEM 6830

 

Ethics in Biological Studies/Biomedical Ethics

Cellular Biochemistry

Molecular Biology

Advanced Molecular Biology 

Cell Biology

Introduction to Biochemistry


3

3

3

3

3

3

*A student may enroll in 8000 level course upon approval from his or her advisor. At least on BIOS or BINF 7000 or 8000 level courses needs to be taken for electives.
 
   

 

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. You may download the MS Thesis guidelines from the Academics Policies and Guidelines page.

 

Model Course Schedule – Fall Entry


 

Semester

 

Course

 

Credits

Fall

 

BINF 6010
BIOS 6040
EPID 6030

 

3
3
3

Spring

 

BINF 7010
BINF 7600
BIOS 6220
BIOS 7080

 

3
3
3
3

Fall

 

 

BINF 7210
BINF 7300
BINF 7800

Thesis

 

 

3
3
3

3

 

Spring

 

Elective
Elective 
Thesis

Total coursework credits
Thesis Credits
Total Credits

 

3
3
3

36
  6
42

 

Model Course Schedule – Spring Entry

Semester

 

Course

 

Credits

Spring

 

BIOS 6040
BIOS 6220
EPID 6030

 

3
3
3

Fall

 

BINF 6010
BINF 7210
BINF 7500
Elective

 

3
3
3
3

Spring

 

BINF 7010
BINF 7600
BIOS 7080
Thesis

 

3
3
3
3

Fall

 

BINF 7300
Elective

Thesis

Total coursework credits
Thesis Credits
Total Credits

 

3
3

3

36
  6
42



:: BIOS 6230 is recommended to be taken in the first semester if student does not have prior expertise in SAS.

 

Contact:  For more information on the MS program in Bioinformatics, please contact

Kathleen Branley, Department Administrator
Phone: (504) 988-2102
Fax: (504) 988-1706
Email: kbranley@tulane.edu

 

 
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Department of Biostatistics, 1440 Canal Street, Suite 2001, New Orleans, LA 70112, 504-988-5164 kbranley@tulane.edu