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Online Masters in Biotechnology No GRE - Updated 2022
University of Arizona: GRE scoresRequired test:Required GRE Subject tests: general test only.
Johns Hopkins University: The GRE is not required but the admissions committee reserves the right to request a GRE score to evaluate an application.
Online Biotechnology Master Degree
College description: Sharpen your entrepreneurial and managerial skills with a master degree in biotechnology with a specialization in biotechnology management. Specializing in biotechnology management within the graduate biotechnology program, you’ll learn evaluate, launch, and manage biotechnology ventures, from life-saving biopharmaceuticals to environment-friendly biofuels. Build a powerful skill set in both business and biology to become a sought-after professional or a successful entrepreneur with a master’s degree in biotechnology with a specialization in biotechnology management. The Biotechnology Master Degree with Biotechnology Management Specialization.
Strengthen their marketability in international biotech business with a master's degree in biotechnology with a specialization in biotechnology regulatory affairs.
By pursuing a Master of Science in Biotechnology with a specialization in regulatory affairs from University of Maryland Global Campus, the students will develop expertise in the life cycle of biotechnology products and learn how to help businesses and regulators work together for safety and quality.
Assemble packages for an investigational new drug, a new drug application, a new device exemption, or a Biological License Application
Applicant must maintain a GPA of 3.0 or higher at all times.
Please review the university overview of overall master's degree requirements for additional considerations.
If applicant are certified as a Project Management Professional by the Project Management Institute and begin study for the master’s degree within five years of earning certification, applicant may receive credit for PMAN 634.
Topics include new, sophisticated DNA, RNA, and protein sequence analyses and pattern recognition and DNA computing, as well as more traditional mathematical modeling
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