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Bioinformatics and Computational Biology, M.S.

The use of computational techniques and information systems has revolutionized research in the biological sciences — from the analysis of DNA sequences and the understanding of gene expression and regulation to the structural modeling of proteins and RNAs and the evolutionary relationship between species. The Master of Science in Bioinformatics and Computational Biology program brings together expertise from ÌìÃÀ´«Ã½ÖÆƬ³§ in biology, chemistry, computer science, mathematics and statistics, biochemistry and molecular biology.

Curriculum Overview

The 30-credit bioinformatics and computational biology program is designed for students with academic backgrounds in the life sciences, mathematics, computer science, health sciences, engineering and statistics. The curriculum consists of a mix of required courses that build a strong foundation in bioinformatics and computational biology and elective classes that allow students to specialize in their expertise. Full-time students can complete the program in 18 to 24 months. Part-time students are welcome in the program.

Graduate Handbook

Fieldwork and Research Opportunities

Bioinformatics and computational biology program students must complete either a research experience with faculty or an internship with a biotech firm in the St. Louis area, which is home to one of the largest concentrations of biotech companies in the country.ÌýThis requirement gives our M.S. students the opportunity for hands-on experience working with academic researchers or private industry. Industry partners include:

  • Bayer
  • BioSTL
  • Cofactor Genomics
  • Confluence Discovery Technologies
  • Donald Danforth Plant Science Center
  • Mallinckrodt Pharmaceuticals
  • MoGene
  • ±·±ð²õ³Ù±ôé-±Ê³Ü°ù¾±²Ô²¹
  • PierianDx
  • Sigma-Aldrich

Careers

There are many employment opportunities for graduates with a Master of Science in Bioinformatics and Computational Biology in the biotechnology, pharmaceutical, health care and software industries, as well as in academic, private and governmental research labs. St. Louis is home to many large and small biotech firms and is a national leader in biotech startups. St. Louis has medical schools at ÌìÃÀ´«Ã½ÖÆƬ³§ and Washington University and is home to the Donald Danforth Plant Science Center, a world leader in plant and life sciences.

Admission Requirements

A bachelor's degree in biology, biochemistry, computer science,Ìýengineering, health science,Ìýmathematics, statistics or a similar scientific field is required. The faculty admissions committee considers the applicant's prior coursework or experience in genetics, biology and computer programming when determining the required coursework.

Application Requirements

  • Application completionÌý
  • °Õ°ù²¹²Ô²õ³¦°ù¾±±è³Ù(²õ)Ìý
  • One letter of recommendation is required; two more are optionalÌý
  • ¸éé²õ³Ü³¾Ã©Ìý
  • Statement of professional goalsÌý
  • GRE general test scores are optional

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Requirements for International Students

All admission policies and requirements for domestic students apply to international students. International students must also meet the following additional requirements:

  • ¶Ù±ð³¾´Ç²Ô²õ³Ù°ù²¹³Ù±ðÌýEnglish Language Proficiency
  • Financial documents are required to complete an application for admission and be reviewed for admission and merit scholarships.Ìý
  • Proof of financial support that must include:
    • A letter of financial support from the person(s) or sponsoring agency funding the student's time at ÌìÃÀ´«Ã½ÖÆƬ³§
    • A letter from the sponsor's bank verifying that the funds are available and will be so for the duration of the student's study at the University
  • Academic records, in English translation, of students who have undertaken postsecondary studies outside the United States must include:
    • Courses taken and/or lectures attended
    • Practical laboratory work
    • The maximum and minimum grades attainable
    • The grades earned or the results of all end-of-term examinations
    • Any honors or degrees received.

WES and ECE transcripts are accepted.

Application Deadlines

  • April 15 for Fall and November 15 for Spring

​T³Ü¾±³Ù¾±´Ç²Ô

Tuition Total Program Cost
MS Bioinformatics and Computational Biology $42,000

Additional charges may apply. Other resources are listed below:

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Information on Tuition and Fees

Miscellaneous Fees

Information on Summer Tuition

Scholarships, Assistantships and Financial Aid

Scholarships are available to both U.S. and international students. Research assistantships are offered to select students working on faculty research projects.Ìý

Applicants should complete their applications by the program admission deadlines for priority consideration for scholarships and graduate assistantships.

For information about financial aid, visit the Office of Student Financial Services.

  1. Graduates will be able to design and implement in silico experiments for biological problems.
  2. Graduates will be able to apply and combine existing tools for processing and analysis of biological data sets.
  3. Graduates will be able to use small- and large-scale quantitative data sets to model complex biological systems.
  4. Graduates will be able to work as part of multidisciplinary teams in corporate or academic environments.
  5. Graduates will be able to effectively communicate research approaches and findings.
Required Courses
µþ°äµþÌý5200Introduction Bioinformatics I3
µþ°äµþÌý5250Introduction Bioinformatics II3
µþ°äµþÌý5300Algorithms in Computational Biology3
µþ°äµþÌý5810Bioinformatics Colloquium1
µþ±õ°¿³¢Ìý5030Genomics3
Internship/Research Experience1-3
Select one of the following:
µþ°äµþÌý5910
Bioinformatics Internship
µþ°äµþÌý5970
Research Topics
µþ±õ°¿³¢Ìý5970
Research Topics
°ä±á·¡²ÑÌý5970
Research Topics
°ä³§°ä±õÌý5970
Research Topics
Bioinformatics & Computational Biology Electives14-16
Select remaining courses to reach 30 credits:
µþ±õ°¿³¢Ìý5050
Molecular Techniques Lab
µþ±õ°¿³¢Ìý5070
Advanced Biological Chemistry
µþ±õ°¿³¢Ìý5080
Advanced Cell Biology
µþ±õ°¿³¢Ìý5090
Biometry
µþ±õ°¿³¢Ìý5190
Geographic Information Systems in Biology
µþ±õ°¿³¢Ìý5430
Advanced Principles of Virology
µþ±õ°¿³¢Ìý5520
Biochemical Pharmacology
µþ±õ°¿³¢Ìý5700
Advanced Molecular Biology
µþ±õ°¿³¢Ìý5780
Molecular Phylogenetic Analysis
µþ²Ñ·¡Ìý5130
Medical Imaging
µþ²Ñ·¡Ìý5150
Brain Computer Interface
°ä±á·¡²ÑÌý5370
Computational Chemistry
°ä±á·¡²ÑÌý5470
Medicinal Chemistry
°ä±á·¡²ÑÌý5610
Biochemistry 1
°ä±á·¡²ÑÌý5615
Biochemistry 2
°ä±á·¡²ÑÌý5620
Biophysical Chemistry
°ä³§°ä±õÌý5030
Principles of Software Development
°ä³§°ä±õÌý5300
Software Engineering
°ä³§°ä±õÌý5360
Web Technologies
°ä³§°ä±õÌý5610
Concurrent and Parallel Programming
°ä³§°ä±õÌý5620
Distributed Computing
°ä³§°ä±õÌý5710
Databases
°ä³§°ä±õÌý5730
Evolutionary Computation
°ä³§°ä±õÌý5740
Introduction to Artificial Intelligence
°ä³§°ä±õÌý5750
Introduction to Machine Learning
°ä³§°ä±õÌý5760
Deep Learning
°ä³§°ä±õÌý5830
Computer Vision
±á¶Ù³§Ìý5310
Analytics and Statistical Programming
±á¶Ù³§Ìý5330
Predictive Modeling and Machine Learning
²Ñ´¡°Õ±áÌý5021
Introduction to Analysis
²Ñ´¡°Õ±áÌý5023
Multivariable Analysis
²Ñ´¡°Õ±áÌý5080
Probability Theory
³§°Õ´¡°ÕÌý5084
Time Series
³§°Õ´¡°ÕÌý5085
Mathematical Statistics
³§°Õ´¡°ÕÌý5087
Applied Regression
³§°Õ´¡°ÕÌý5088
Bayesian Statistics and Statistical Computing
Total Credits30

Continuation Standards

Students must maintain a cumulative grade point average (GPA) of 3.00 in all graduate/professional courses.

Prerequisite Courses

The following courses may be required to fill in missing prerequisite coursework, such as data structures. These prerequisite courses do not count toward the 30 credits needed for graduation.

  • General Biology: Information Flow and Evolution (µþ±õ°¿³¢Ìý1240)/Principles of Biology I Laboratory (µþ±õ°¿³¢Ìý1245)
  • General Biology: Transformations of Energy and Matter (µþ±õ°¿³¢Ìý1260)/Principles of Biology II Laboratory (µþ±õ°¿³¢Ìý1265))
  • General Chemistry 1 (°ä±á·¡²ÑÌý1110)/General Chemistry 1 Laboratory (°ä±á·¡²ÑÌý1115)
  • General Chemistry 2 (°ä±á·¡²ÑÌý1120)/General Chemistry 2 Laboratory (°ä±á·¡²ÑÌý1125))
  • Biochemistry and Molecular Biology (µþ±õ°¿³¢Ìý3020)Ìý´Ç°ùÌýCell Structure & Function (µþ±õ°¿³¢Ìý3040)
  • Principles of Genetics (µþ±õ°¿³¢Ìý3030)
  • Introduction to Object-Oriented Programming (°ä³§°ä±õÌý1300)
  • Data Structures (°ä³§°ä±õÌý2100)
  • Calculus I (²Ñ´¡°Õ±áÌý1510)
  • ²Ñ´¡°Õ±áÌý1300³Ý Elementary Statistics with Computers (3 cr),ÌýFoundation of Statistics (²Ñ´¡°Õ±áÌý3850)Ìý´Ç°ùÌýMathematical Statistics (²Ñ´¡°Õ±áÌý4850)

Students may complete these prerequisites as part of the program, but the courses will not count toward the 30 credits required for the degree.

Roadmaps are recommended semester-by-semester plans of study for programs and assume full-time enrollmentÌýunless otherwise noted. Ìý

Courses and milestones designated as critical (marked with !) must be completed in the semester listed to ensure a timely graduation. Transfer credit may change the roadmap.

This roadmap should not be used in the place of regular academic advising appointments. All students are encouraged to meet with their advisor/mentor each semester. Requirements, course availability and sequencing are subject to change.

Plan of Study Grid
Year One
FallCredits
µþ°äµþÌý5200 Introduction Bioinformatics I 3
µþ±õ°¿³¢Ìý5030 Genomics 3
ÌýCredits6
Spring
µþ°äµþÌý5250 Introduction Bioinformatics II 3
BCB Electives 6
ÌýCredits9
Summer
µþ°äµþÌý5910 Bioinformatics Internship 2
ÌýCredits2
Year Two
Fall
µþ°äµþÌý5300 Algorithms in Computational Biology 3
µþ°äµþÌý5810 Bioinformatics Colloquium 1
BCB Elective 3
ÌýCredits7
Spring
BCB Electives 6
ÌýCredits6
ÌýTotal Credits30

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For questions about the program or application process, please contact:

Maureen J. Donlin, Ph.D.
Program Director
maureen.donlin@health.slu.edu

Graduate Admission
graduate@slu.edu