M.Sc. On Campus


Virginia Commonwealth University

12 months
25956 USD/year
25956 USD/year
12618 USD/year
Tuition fee
Apply date
Start date


Students of the Bioinformatics program at Virginia Commonwealth University 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. 


The VCU Center for the Study of Biological Complexity created and administers the Master of Science in Bioinformatics degree program to provide interested students with two options:

  • A traditional “thesis master’s,” including the development, implementation, writing and presentation of a coherent research project under the supervision of a graduate faculty member. This degree is most appropriate for students committed to initiating research careers in a variety of settings, including students considering pursuing later work toward a Ph.D.
  • A “professional science master’s” option, with project-oriented research, including completion of a 10- to 12-week full-time externship in an industrial, government or academic site, usually during the summer between the first and second years of the bioinformatics program. This degree is most appropriate for students who wish to work in industrial/commercial settings.

Students will have an effective exposure to the biotech industry and other career options and to real-life applications of their learning.

The Bioinformatics program at Virginia Commonwealth University will prepare students to:

  • Synthesize and apply interdisciplinary subject matter: The M.S. in Bioinformatics degree program seeks to provide students with the skills and knowledge required to advance into Ph.D. training programs and research positions in universities, government labs or industry. 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.
  • 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.
  • 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

  • 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.
  • 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.
  • 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.
  • 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.
  • 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.

Programme Structure

Courses include:

  • Molecular Genetics
  • Physical Implementation of Databases
  • Bioinformatics Research
  • Scripting Languages
  • Bioinformatics
  • Bioinformatics Practicum
  • Seminars in Bioinformatics
  • Directed Research in Bioinformatics (six credits minimum)
  • Database Theory
  • Scientific Integrity
  • Responsible Scientific Conduct
  • Responsible Conduct of Research

Key information


  • Full-time
    • 12 months

Start dates & application deadlines


34 alternative credits


On Campus

Academic requirements

GPA admission requirements GPA

Other requirements

General requirements

  • Personal statement
  • Academic documentation
  • Proof of English proficiency
  • Additional academic requirements and regulations
  • Foreign transcripts
  • Financial certification
  • Application fee

Tuition Fee

To alway see correct tuition fees
  • International

    25956 USD/year
    Tuition Fee
    Based on the tuition of 25956 USD per year during 12 months.
  • National

    25956 USD/year
    Tuition Fee
    Based on the tuition of 25956 USD per year during 12 months.
  • In-State

    12618 USD/year
    Tuition Fee
    Based on the tuition of 12618 USD per year during 12 months.

Living costs for Richmond

1071 - 1750 USD /month
Living costs

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.


Studyportals Tip: Students can search online for independent or external scholarships that can help fund their studies. Check the scholarships to see whether you are eligible to apply. Many scholarships are either merit-based or needs-based.

Fresh content

Updated in the last year

Check the official programme website for potential updates.

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