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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. Analyze gene expression microarray data (BINF 7160)
  3. Analyze DNA and proteins sequences data (BINF 7210)
  4. Select and conduct bivariate statistical analyses.  (BIOS 6040)
  5. Select and conduct simple and multiple linear regression analysis (BIOS 6040, 7060)
  6. Select and conduct analysis of variance procedures (BIOS 6040, 7080)
  7. Select and conduct logistic regression analyses and other categorical procedures (BIOS 6040)
  8. Use the standard statistical software, R in bioinformatics (BINF 6200)
  9. Estimate sample size and power (BIOS 6040, 7060, 7080, BINF 7160)
  10. 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)

Bioinformatics Core

 

(12 hours)

 

 

BINF 6010

 

Principles of Bioinformatics

 

3

BINF 6200

 

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 Interference

 

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 6220

 

Database Management

 

3

BIOS 6350

 

Environmental Biostatistics

 

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

 

Clinical Trials

 

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

 

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

 

Model Course Schedule – Fall Entry


 

Semester

 

Course

 

Credits

Fall

 

BIOS 6040
MATH 6070
BINF 6010

 

3
3
3

Spring

 

BIOS 7060
MATH 6080
BINF 6200
Elective

 

3
3
3
3

Fall

 

EPID 6030
BINF 7210
Elective

 

3
3
3

Spring

 

BIOS 7080
BINF 7160
Thesis

Total coursework credits
Thesis Credits
Total Credits

 

3
3
6

36
  6
42

 

Model Course Schedule – Spring Entry

Semester

 

Course

 

Credits

Spring

 

BIOS 6040
BINF 6200
Elective

 

3
3
3

Fall

 

EPID 6030
MATH 6070
BINF 6010
Elective

 

3
3
3
3

Spring

 

MATH 6080
BIOS 7060
BIOS 7080
BINF 7160

 

3
3
3
3

Fall

 

BINF 7210
Thesis

Total coursework credits
Thesis Credits
Total Credits

 

3
6

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