University of Texas at El Paso Academic Catalog

Academic Catalog

M.S. in Bioinformatics

The Master of Science in Bioinformatics is a Professional Science Master’s (PSM) degree designed with the concept of training science professionals as part of the national effort in developing PSM degrees to enhance our future economy through promoting innovations in science and technology. Bioinformatics is an interdisciplinary science that offers unique opportunities for individuals with diverse backgrounds to learn and collaborate with others. There is an increasing demand for well-trained bioinformatics professionals capable of developing computational tools integrated with experimentation for solving complex biological problems. In addition to required coursework, students attend the weekly bioinformatics colloquium series, with research seminars and professional training workshops, and complete an internship at a bioinformatics company or research institution. Training areas include genomics data analysis, molecular modeling, and online database development, preparing graduates for various technical fields in agriculture, biodiversity and environmental science, cancer research, drug design, genetic and infectious diseases, and health data management.

Admission Requirements  

The following documents are required in the online application for admission to the Bioinformatics M.S. Program:

  1. A completed Graduate School Application form.
  2. Official copies of transcripts and GRE/TOEFL scores.
  3. A statement of purpose summarizing professional goals.
  4. At least two letters of recommendation.
  5. Applicants from countries where English is not the first language are required to demonstrate English proficiency. Please consult the graduate school website for required scores

Prior to making a recommendation on acceptance to the Graduate School, the Bioinformatics Admissions Committee will review the academic preparation of applicants. Unconditional admission requires a completed bachelor’s degree that includes satisfactory undergraduate coursework experiences in Biology, Chemistry, Computer Science, Mathematics, and Statistics. This foundation is represented by the following UTEP courses and their several underlying prerequisites (or by the equivalent experience at other institutions):

BIOL 3314Molecular Cell Biology3
CHEM 2324Organic Chemistry3
CS 2401Elem. Data Struct./Algorithms4
MATH 2300Discrete Mathematics3
STAT 2480Elementary Statistical Methods4

Course descriptions and prerequisites of these courses are provided in the UTEP Undergraduate Catalog. Because this suite of foundation courses is seldom met by traditional undergraduate curricula, potential applicants should make early inquiry of the Program Director for consultation on its expeditious completion.

Degree Requirements

The Master of Science degree in Bioinformatics consists of 40-41 graduate hours comprised of required courses and electives drawn from a restricted menu. The program of study is intended to be a course-intensive experience requiring two years of full-time academic work, including a summer internship in the public or private sector between the first and second years. The internship is required of all students in the program and it can be counted as a three-credit-hour elective course. A thesis is an option but not a requirement for this degree.

I. Internship

The student is responsible for securing an internship offer from an academic, industry, or government institution that is a current or potential employer of bioinformatics professionals. For the internship to count towards the Master of Science degree in Bioinformatics, the student must obtain pre-approval from the Bioinformatics Program Committee before the start of the internship. An evaluation form will be sent to the employer at the end of the internship and the student must receive a grade of “Satisfactory” or better in order to fulfill the internship requirement of this degree.

II. Courses

Thesis courses. Six (6) hours of thesis courses BINF 5398 and BINF 5399 can be taken in place of regular elective course to count towards the MS in Bioinformatics degree. All University requirements for master’s theses apply.

A maximum of up to six (6) credit hours of approved advanced undergraduate courses in Biology, Chemistry, Computer Science, Mathematics, or Statistics. Only undergraduate courses which are listed as applicable towards graduate degrees by the Graduate School can be counted towards the MS in Bioinformatics degree (see Graduate Catalog listings under individual departments). Approval from the Graduate Advisor is required.

With the approval of the Bioinformatics Program Committee and the Graduate School, up to six (6) semester hours of graduate work can be transferred from another accredited institution to replace equivalent courses. Only credit hours that have not been counted towards a previously awarded degree are allowed to be transferred.

Degree Plan

Required Credits: 41

MS in Bioinformatics (All courses require a grade of C or better)
Select four semesters from the following:4
Biology Seminar/Bioinformatics
Chem. Sem. for Bioinformatics
CS Seminar for Bioinformatics
Math Sem. for Bioinformatics
Required Courses:
BINF 5341Anal./Model of Bio Structures3
BINF 5351Intro. Bioinformatics I3
BINF 5352Intro. Bioinformatics II3
BINF 5354Post-Genomic Analysis3
BIOL 5340Structure/Funct Macromolecules3
CS 5352Computer Security3
STAT 5329Statistical Programming3
STAT 5428Intro to Statistical Analysis4
BINF 5353Internship in Bioinformatics3
Select three courses from the following:9
Resrch Biological Science
Advances Immunological Concept
Physiology of Bacterial Cell
Molecular Pathogenesis
Contem Topics Organic Chemistr
Contemp Topics in Biochemistry
Graduate Research in Chemistry
Parallel & Concurrent Program
Advanced Computer Architecture
Advanced Algorithms
Interval Computations
Individual Studies
Graduate Projects
Graduate Projects
Comp Methods of Linear Algebra
Techniques in Optimization
Graduate Research
Categorical Data Analysis
Stochastic Processes
Multivariate Data Analysis
Time Series Analysis
Statistical Computing
Graduate Research
Total Hours 41

Program Director 

Ming-Ying Leung


Ming-Ying Leung 
Contact Information:; 915-747-6836 
Education: BS, University of Hong Kong; MPhil, University of Hong Kong; MS, Stanford University; Ph D, Stanford University

Program Director 

Ming-Ying Leung

Phone: 915.747.6836