VCU Bulletins

Bioinformatics, Master of (M.Bin.)

Graduate program director
Gregory A. Buck, Ph.D.
Director, Center for the Study of Biological Complexity
gabuck@vcu.edu
(804) 827-0026

Additional contact
Allison A. Johnson, Ph.D.
Assistant director, Center for the Study of Biological Complexity
aajohnson@vcu.edu
(804) 828-6782

Program website: vcu.edu/csbc/bioinformatics/psm

Refer to the program search function of the online VCU Bulletins for a complete listing of all programs, concentrations and related curricular options.

Bioinformatics, Master of (M.Bin.), accelerated Bachelor of Science in Bioinformatics (B.S.) to master’s
Bioinformatics, Master of Science (M.S.)
Bioinformatics, Master of Sciences (M.S.), accelerated Bachelor of Science in Bioinformatics (B.S.) to master’s

Apply online at graduate.admissions.vcu.edu.

Admission requirements

Bioinformatics, Master of (M.Bin.)
Degree:
M.Bin.
Semester(s) of entry:
Fall
Spring
Summer
Deadline dates:

Jul 1
Nov 15
May 1
Test requirements:
GRE
Special requirements:
International students requiring temporary U.S. visas should apply by Apr. 1 for fall admission, Oct. 1 for spring admission or Feb. 1 for summer admission.

In addition to the general admission requirements of the VCU Graduate School, applicants are encouraged to include in their personal statements, and request that their referees also discuss, one or more examples of creative and analytical contributions they have made to a recent research project (preferred) or to a challenging course assignment.

Because of the interdisciplinary nature of bioinformatics, applications are welcomed from students with various academic backgrounds, such as biology, biotechnology, molecular biology, computer science, mathematics or statistics. Our program provides “bridge curricula” to strengthen students’ preparation for graduate study in bioinformatics.

VCU Graduate Bulletin, VCU Graduate School and general academic policies and regulations for all graduate students in all graduate programs

The VCU Graduate Bulletin website documents the official admission and academic rules and regulations that govern graduate education for all graduate programs at the university.  These policies are established by the graduate faculty of the university through their elected representatives to the University Graduate Council.

It is the responsibility of all graduate students, both on- and off-campus, to be familiar with the VCU Graduate Bulletin as well as the Graduate School website and academic regulations in individual school and department publications and on program websites. However, in all cases, the official policies and procedures of the University Graduate Council, as published on the VCU Graduate Bulletin and Graduate School websites, take precedence over individual program policies and guidelines.

General academic regulations for
all graduate students in all graduate programs at VCU

Program goals

Established and administered by the VCU Center for the Study of Biological Complexity, the Master of Bioinformatics (M.Bin.) degree program provides a “professional science master’s” option for students desiring maximally efficient graduate training toward a career in industry or elsewhere. Students enter the program from a variety of academic backgrounds (biology, chemistry, computer science, mathematics/statistics, etc.), assisted by flexible “bridge curricula” designed to help them meet program prerequisites. This P.S.M. program is expected to attract capable students who might otherwise not undertake graduate training. The program replaces thesis research with a summer-long professional externship and associated training. Students will have an effective exposure to the biotech industry and other career options and to real-life applications of their learning.

The Master of Bioinformatics degree program will prepare students to:

  1. Synthesize and apply interdisciplinary subject matter: The M.Bin. degree program seeks to provide students with the skills and knowledge required to advance into Ph.D. training programs or research positions. The program provides a framework for the progressive development of a mastery of the interdisciplinary subject matter pertinent to bioinformatics and an ability to synthesize this information and apply it to key areas of investigation and experimentation in bioinformatics.
  2. Design, implement and interpret experimental approaches: The program relates the above framework to the development of the ability to design, implement and interpret experimental approaches.
  3. Develop communication skills: In addition, the program will develop skills in oral and written communication of interdisciplinary science concepts, experimental design, results and interpretation.

Student learning outcomes

  1. Oral communication skills: The candidate will demonstrate the achievement of an appropriate level of oral communication skills with respect to the content, organization, logical flow, presentation and appropriate use of language incorporating the use of visual aids, as measured by rubric.
  2. Written communication skills: The candidate will demonstrate the achievement of an appropriate level of written communication skill with respect to grammar, syntax, spelling and use of vocabulary to effectively present information, including the use of figures, tables and citations, as measured by rubric.
  3. Experimental design competency: The candidate will demonstrate the achievement of an appropriate level of competence in the ability to appraise, modify, and/or create and implement bioinformatics experimental protocols and to design and develop experiments, as measured by rubric.
  4. Problem-solving skills: The candidate will demonstrate an appropriate level of ability to analyze scientific problems including pertinent datasets and design and develop appropriate methods to solve said problems, as measured by rubric.
  5. Integrated knowledge of bioinformatics: The candidate will demonstrate an appropriate level of knowledge of fundamentals of molecular biology, computational science, statistics and a more detailed understanding of an individual area of internship research, including an appropriate familiarity with the research literature, as measured by rubric.

Degree requirements

Prerequisites and bridge curricula for master’s programs

While an ideal preparation for the bioinformatics master’s programs would include substantial work in molecular biology, computer science, mathematics and statistics, the program has been designed to provide “bridge curricula” to accommodate academically strong students with majors in any one of these or related disciplines. These students would develop with the assistance of their advisers a “bridge curriculum” of largely undergraduate courses to meet the prerequisites for the program and prepare them for graduate-level work.

Program prerequisites are listed below. In general, students will not need to address the set corresponding to their undergraduate majors, but will usually need to address the other two sets. It is expected that all bridge course work will be completed during the first year. While bridge courses may be completed prior to initiating the graduate program, this is not required, and most students are able, through advising, to complete bridge courses alongside graduate course work during the first year of the program.

  1. Biology/genomic prerequisites: an introductory knowledge of biochemistry and molecular biology, one semester of organic chemistry (e.g. CHEM 301), cell biology (e.g. BIOL 218) and Essentials of Molecular Biology in Bioinformatics (two-credit module: BNFO 507)
  2. Computational science prerequisites: an introductory knowledge of discrete mathematics (e.g. MATH 211) and an introductory knowledge of computer science, including at least one general computer programming language, met by taking structured programming (e.g. CMSC 255) and data structures and advanced programming (e.g. CMSC 256)
  3. Quantitative/statistical prerequisites: an introductory knowledge of mathematics/statistics, met by taking calculus with analytic geometry I (e.g. MATH 201) and Introduction to Statistical Computing (STAT 321) or Applied Statistics for Engineers and Scientists (STAT 541)

Bioinformatics externship

In addition to general VCU Graduate School graduation requirements, students enrolled in the M.Bin. degree program complete a 10- to 12-week full-time externship at an industrial, government or academic site, usually during the summer between the first and second years of the bioinformatics program. In preparation for this externship, students will enroll in BNFO 620 Bioinformatics Practicum in the semester preceding their externships. Under the supervision of their major advisers and Graduate Advisory Committee, the external supervisor, and the coordinator of the bioinformatics practicum course, each student must develop and write a short proposal outlining the plans for the externship. The project must be approved by the student’s GAC, based on a short (10-page) paper submitted by the student. This paper will include background on the project, including a review of the literature, the purpose, specific aims and rationale of the project, a statement about the specific hypothesis to be investigated, and proposed methods and statistical analyses. Research projects will be based on ongoing research in the laboratories of the participating external advisers. Students in the program may perform research on a broad range of subjects, from molecules to ecosystems, encompassing the field of bioinformatics.

In the semester following the externship experience, M.Bin. students shall prepare written papers describing the completed research performed during their externships following the format of the Graduate School’s Thesis and Dissertation Manual. An oral defense, consisting of a public presentation of the paper and a committee meeting to discuss the results, under the direction of the GAC but open to all faculty members and the adviser of the externship, shall be scheduled to examine the student’s underlying fundamental knowledge of the disciplines encompassed by the student’s research. Announcement of the oral defense, including the candidate’s name, project title, and the day, place and time of the defense, shall be made at least 10 working days in advance of the defense.

Curriculum requirements

Courses Credit hours
   
Core 22
   
BNFO 501 Introduction to Physical Implementation of Databases 1
BNFO/BIOL 540 Fundamentals of Molecular Genetics 3
BNFO 600 Basic Scripting Languages 2
BNFO/BIOL 601 Integrated Bioinformatics 3
BNFO 620 Bioinformatics Practicum 3
BNFO 621 Business and Entrepreneurship Essentials for Life Scientists 3
BNFO 690 Seminars in Bioinformatics 1
BNFO 700 Externship in Bioinformatics 2
CMSC 508 Database Theory 3
OVPR 601 Scientific Integrity 1
   
Recommended electives 12
   
BIOS 567 Statistical Methods for High-throughput Genomics Data I 3
BNFO/BIOL 541 Laboratory in Molecular Genetics 2
BNFO 591 Special Topics in Bioinformatics variable
BNFO 592 Independent Study variable
BNFO 637 Networks Biology 3
BNFO/MICR 653 Advanced Molecular Genetics: Bioinformatics 3
BNFO 691 Special Topics in Bioinformatics variable
BNFO 691 Special Topics in Bioinformatics (Genomics and Phylogenetics) 3
BNFO 692 Independent Study variable
CLSE 562 Advanced Systems Biology Engineering 3
CMSC 501 Advanced Algorithms 3
MATH 580 Methods of Applied Mathematics for the Life Sciences: Discrete 3
MATH 581 Methods of Applied Mathematics for the Life Sciences: ODE 3
MATH 582 Methods of Applied Mathematics for the Life Sciences: PDE 3
PHYS 591 Topics in Physics (modeling, computing and biocomplexity) 3
   
Total graduate credit hours required (minimum) 34

Degree candidacy requirements

A graduate student admitted to a program or concentration requiring a final research project, work of art, thesis or dissertation, must qualify for continuing master’s or doctoral status according to the degree candidacy requirements of the student’s graduate program. Admission to degree candidacy, if applicable, is a formal statement by the graduate student’s faculty regarding the student’s academic achievements and the student’s readiness to proceed to the final research phase of the degree program.

Graduate students and program directors should refer to the following degree candidacy policy as published in the VCU Graduate Bulletin for complete information and instructions.

Degree candidacy requirements

Graduation requirements

As graduate students approach the end of their academic programs and the final semester of matriculation, they must make formal application to graduate. No degrees will be conferred until the application to graduate has been finalized.

Graduate students and program directors should refer to the following graduation requirements as published in the Graduate Bulletin for a complete list of instructions and a graduation checklist.

Graduation requirements

 

 

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Last update: 10/10/2014

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