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This Professional Science Master's (PSM) degree addresses the growing demand for trained bioinformatics professionals with solid management skills able to assume leadership roles in biotechnology, pharmaceutical and health care sectors. The flexible degree structure allows students to custom design a curriculum that best suits their needs and allows a focus on the biological big data analysis, genomics, or bioinformatics software development and management. Students will receive advanced training in bioinformatics and management through coursework and an external internship. The curriculum was developed with active input from the Program Advisory Board consisting of recognized leaders in the field. Many courses are offered in a distance-learning format, allowing students to participate in class without having to travel to campus.


University-wide admissions policies can be found in the Graduate Admissions Policies section of this catalog.

To apply for this program, please complete the George Mason University Admissions Application.

Applicants should have a bachelor's degree in biology, computer science, or a related field with a GPA of at least 3.00 in their last 60 credits of study. Applicants should have taken courses in molecular biology, computer science, calculus, physical chemistry, and statistics. Students with deficiencies in one or more of these areas may be required to take additional courses from the undergraduate curriculum. To apply, prospective students should submit the George Mason University Admissions Application, supply two copies of official transcripts from each college and graduate institution attended, a current résumé, and an expanded goals statement. Applicants should also include three letters of recommendation and official scores obtained on the GRE general exam. The GRE requirement will be waived if the student holds a master's degree from a U.S. institution. TOEFL or IELTS scores are required of all international applicants.


For policies governing all graduate programs, see AP.6 Graduate Policies.

Banner Code: SC-MSP-BNFM

Degree Requirements

Total credits: 31

Students should refer to the Admissions & Policies tab for specific policies related to this program.

Due to the varied course options and their associated prerequisites, students are encouraged to create a program of study with their faculty advisor by the end of their first semester of studies.

Bioinformatics Courses

BINF 630Bioinformatics Methods3
BINF 631Molecular Cell Biology for Bioinformatics3
BINF 702Biological Data Analysis3
Select two from the following or other BINF-prefixed courses in consultation with the faculty advisor:6
Molecular Biotechnology
Bioinformatics Programming
Introduction to Bioinformatics Database Design
Protein Structure Analysis
Introduction to Biophysics
Total Credits15

Professional Skills Courses

Please note: MBA-prefixed courses are offered on an alternative semester schedule (view the Schedule of Classes for details). Considering this, it may be advisable to take these courses in one semester rather than over several.

BINF 705Research Ethics1
MBA 712Project Management3
Select one course from the following that hasn't previously been taken:3
Selected Topics in Animal Biology 1
Professional Preparation for STEM Disciplines
Multidisciplinary Problem Solving and Leadership
Corporate Environmental Management and Policy
Information System Infrastructure Lifecycle Management
Advanced Communication Skills for STEM
Financial Reporting and Decision Making
Marketing Management
Managerial Finance
Organizational Behavior
Data Mining for Business Analytics
Data Mining for Business Analytics
Project Management in Public Health
Project Management in Health Information Technology
Project Management
Information Management: Technology and Policy
Software Project Management
Or other courses in consultation with the faculty advisor
Total Credits7

Scientific Electives

Close attention should be paid to each course's prerequisites.

Select 6 credits in courses that haven't previously been taken, tailored to suit interests and goals in consultation with the faculty advisor.6
Big Data Analysis:
Scientific Databases
Analytics: Big Data to Information
Problem Formation and Solving in Big Data
Determining Needs for Complex Big Data Systems
Synthetic and Systems Biology:
Systems Biology
Protein-Protein Interactions: Methods and Applications
Human Health and Personal Genomics:
Personalized Medicine
Cancer Genomics
Environmental Hazards to Human Health
Laboratory Methods in Functional Genomics and Biotechnology
Software Development and Analysis:
Bioinformatics Programming
Object-Oriented Programming in Java
Object-Oriented Software Specification and Construction
Software Design and Architecture
Software Project Laboratory
Software Testing
Component-Based Software Development
Software Analysis and Design of Real-Time Systems
Colloquium: 1
Colloquium in Bioinformatics (may be repeated for up to 3 credits)
Additional Internship Experience 2
Bioinformatics Internship
Total Credits6


The internship component is intended to provide students with the opportunity to put into practice all of the skills and knowledge accumulated throughout their studies in this program. Students must arrange an internship with a private company, a governmental agency, a non-governmental organization, or some other entity with an interest in bioinformatics and management. Students must identify a specific person within that outside entity who will be the contact and manager of the internship.

Internship credit is never given for work previously done, or for work that would have been done in any case due to an existing employment relationship.

The internship work must produce one or more products such as: a comprehensive report, a departmental presentation, a research project, or an article. Internship placement and product type must be approved by the student's faculty advisor.

Further details and procedures for completing the internship can be found with the faculty advisor.

Three credits of internship3
Bioinformatics Internship
Total Credits3