VCU Bulletins

Bioinformatics, Bachelor of Science (B.S.) with a concentration in quantitative/statistical

This bioinformatics program consists of a core curriculum that provides the basics of biology, chemistry, computer science and statistics, as well as an introduction to the field of bioinformatics. The bachelor’s program in bioinformatics requires breadth of training via VCU Life Sciences’ general education requirements, specific training in the collateral course work and bioinformatics core, and focused training in the areas of biology/genomics, computational science or quantitative/statistical bioinformatics through the concentration-specific courses.

Students wishing to pursue the bioinformatics major must apply for admission into the program. High school seniors as well as students transferring to VCU should follow the regular VCU admissions process and deadlines, being sure to indicate clearly in their application that they wish to apply to the bioinformatics program. Continuing VCU students wishing to apply to the program will find information about the application process at www.vcu.edu/csbc/bioinformatics/bachelor/index.htm or by calling the director of undergraduate curricula at (804) 828-0559 or the Center for the Study of Biological Complexity at (804) 827-0026.

Transfer students and continuing VCU students with at least 15 college credits should present a suggested college GPA of 3.0 including relevant course work in science, math or computer science.

Degree requirements for Bioinformatics, Bachelor of Science (B.S.) with a concentration in quantitative/statistical

Learning outcomes

Upon completing this program, students will know and know how to do the following:

  • Present scientific results, both orally and in writing, in a way that makes clear to an appropriate target audience the distinction between what is known (and how) and what is merely suspected between an observation and a conclusion in a way that tells a compelling story.
  • Will have demonstrated fundamental knowledge of the basic concepts of biology (particularly molecular biology), the physical sciences, mathematics, statistics and computational science and the ability to apply that knowledge within the context of bioinformatics.
  • Will have demonstrated an ability to identify and analyze bioinformatics problems and strategies to solve said problems.
  • Will possess an appropriate level of technical knowledge and ability necessary to address a scientific problem by exploiting biological software and datasets and creating simple bioinformatics tools.
  • Will have demonstrated an ability to identify and access relevant scientific literature and draw from it in a meaningful and critical manner.
General Education requirements Credits
University Core Education Curriculum (minimum 21 credits)
UNIV 111 Focused Inquiry I 3
UNIV 112 Focused Inquiry II 3
UNIV 200 Inquiry and the Craft of Argument 3
Approved humanities/fine arts 3
Approved natural/physical sciences 3-4
Approved quantitative literacy 3-4
Approved social/behavioral sciences 3-4
   
General education requirements (6-14 credits)  
LFSC 301 Integrative Life Sciences Research 3
MATH 151 Precalculus Mathematics (fulfills University Core quantitative literacy)  
STAT 212 Concepts of Statistics (preferred) or STAT 210 Basic Practice of Statistics (with program approval) 3
Foreign language through 102 level or equivalent course or by placement testing 0-8
   
Collateral requirements (9 credits)  
MATH 200 Calculus with Analytic Geometry 4
PHYS 207 University Physics I (preferred) or PHYS 201 General Physics may be substituted with program approval 4-5
   
Major core requirements (43 credits)  
BIOL 151 Introduction to Biological Science I 3
BIOL 152 Introduction to Biological Science II 3
BIOL 218 Cell Biology 3
BNFO 201 Computing Skills and Concepts in Bioinformatics 3
BNFO 251/LFSC 251 Phage Discovery I (preferred) or BIOZ 151 with program approval 2
BNFO 252/LFSC 252 Phage Discovery II (preferred) or BIOZ 152 with program approval 2
BNFO 300 Molecular Biology Through Discovery 3
BNFO 301/BIOL 351 Introduction to Bioinformatics 3
BNFO 420 Applications in Bioinformatics (University Core capstone) 3
CHEM 101 General Chemistry 3
CHEM 102 General Chemistry 3
CHEM 301 Organic Chemistry 3
CHEZ 101 General Chemistry Laboratory I 1
CMSC 255 Introduction to Programming 4
STAT 314 Applications of Statistics 4
   
Concentration-required courses (14 credits)  
MATH 201 Calculus with Analytic Geometry 4
MATH 307 Multivariate Calculus 4
MATH 310 Linear Algebra 3
STAT 321 Introduction to Statistical Computing 3
   
Concentration electives (8 credits) — See list below. 8
   
Open electives (5-20 credits) 5-20
   
Total 120

Concentration electives

BIOS 513/STAT 513 Mathematical Statistics I (3)
BIOS 514/STAT 514 Mathematical Statistics II (3)
BIOS 524 Biostatistical Computing (3)
BIOS 543/STAT 543 Statistical Methods I (3)
BIOS 544/STAT 544 Statistical Methods II (3)
BIOS 546 Theory of Linear Models (3)
BNFO 380/MATH 380/BIOL 380 Introduction to Mathematical Biology (4)
BNFO 491 Special Topics in Bioinformatics* (variable)
BNFO 492 Independent Study* (variable)
BNFO 496 Undergraduate Teaching Assistantship in Bioinformatics (1-2)
BNFO 497 Research and Thesis* (variable)
BNFO 540/BIOL 540 Fundamentals of Molecular Genetics (3)
CMSC 256 Data Structures and Object Oriented Programming (3)
MATH 211 Mathematical Structures (3)
STAT 309/MATH 309 Introduction to Probability Theory (3)
STAT 421 Computational Issues in Statistical Science (3)
STAT 541 Applied Statistics for Engineers and Scientists (3)

* May be taken only with adviser’s permission

Click here to download a sample outline. [PDF]

 

 

Comments/feedback about this site   |   Bulletin (catalog) archives/printer-friendly bulletins   |   About these bulletins

Virginia Commonwealth University
Richmond, Virginia
Contact us: bulletin@vcu.edu

Last update: 6/13/2013

Created by VCU University Relations