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 Saint Ö±²¥×ÔοÊÓƵ University 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.
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. Ö±²¥×ÔοÊÓƵ 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. Ö±²¥×ÔοÊÓƵ is home to many large and small biotech firms and is a national leader in biotech startups. St. Ö±²¥×ÔοÊÓƵ has medical schools at Saint Ö±²¥×ÔοÊÓƵ University and Washington University and is home to the Donald Danforth Plant Science Center, a world leader in plant and life sciences.
Ö±²¥×ÔοÊÓƵ 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
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 Saint Ö±²¥×ÔοÊÓƵ University
- 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:
Information on Tuition and Fees
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.
- Graduates will be able to design and implement in silico experiments for biological problems.
- Graduates will be able to apply and combine existing tools for processing and analysis of biological data sets.
- Graduates will be able to use small- and large-scale quantitative data sets to model complex biological systems.
- Graduates will be able to work as part of multidisciplinary teams in corporate or academic environments.
- Graduates will be able to effectively communicate research approaches and findings.
Code | Title | Credits |
---|---|---|
Required Courses | ||
µþ°äµþÌý5200 | Introduction Bioinformatics I | 3 |
µþ°äµþÌý5250 | Introduction Bioinformatics II | 3 |
µþ°äµþÌý5300 | Algorithms in Computational Biology | 3 |
µþ°äµþÌý5810 | Bioinformatics Colloquium | 1 |
µþ±õ°¿³¢Ìý5030 | Genomics | 3 |
Internship/Research Experience | 1-3 | |
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 Electives | 14-16 | |
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 Credits | 30 |
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.
Year One | ||
---|---|---|
Fall | Credits | |
µþ°äµþÌý5200 | Introduction Bioinformatics I | 3 |
µþ±õ°¿³¢Ìý5030 | Genomics | 3 |
Ìý | Credits | 6 |
Spring | ||
µþ°äµþÌý5250 | Introduction Bioinformatics II | 3 |
BCB Electives | 6 | |
Ìý | Credits | 9 |
Summer | ||
µþ°äµþÌý5910 | Bioinformatics Internship | 2 |
Ìý | Credits | 2 |
Year Two | ||
Fall | ||
µþ°äµþÌý5300 | Algorithms in Computational Biology | 3 |
µþ°äµþÌý5810 | Bioinformatics Colloquium | 1 |
BCB Elective | 3 | |
Ìý | Credits | 7 |
Spring | ||
BCB Electives | 6 | |
Ìý | Credits | 6 |
Ìý | Total Credits | 30 |
For questions about the program or application process, please contact:
Maureen J. Donlin, Ph.D.
Program Director
maureen.donlin@health.slu.edu
Graduate Ö±²¥×ÔοÊÓƵ
graduate@slu.edu