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History

  • Policy Number: SP.03.016
  • Version: Original
  • Drafted By: Amy Denton, Nancy Mozingo, Ching-Hua Wang, William Wolfe, William Cordeiro
  • Approved By: Richard R. Rush
  • Approval Date:
  • Effective Date: Fall 2014
  • Supersedes:

Purpose

General Objectives

  • Provide students with the opportunity to earn a professional MS degree in Biotechnology and Bioinformatics from California State University.
  • Prepare students with analytical, business and managerial skills along with sophisticated expertise in biotechnology and computational sciences for a diverse set of vocations. Qualified graduates will be able to engage in research, development and management in biotechnology, work in the pharmaceutical industry or conduct scientific research, teaching or consulting in public and/or private organizations.
  • Provide a value added education in biotechnology and bioinformatics to enhance career advancement opportunities.

Learning Objectives

Students who successfully complete the Biotechnology emphasis in the Professional Master of Science Degree program will be able to:

  • Work in cross-disciplinary teams to address questions of relevance to the biotechnology industry through the design and implementation of databases that integrate computational biology and empirical analyses.
  • Explain techniques used to make biological inferences from protein and nucleic acid sequences.
  • Identify biologically relevant problems in biotechnology, bio-medical, and agricultural research.
  • Outline the state and Federal regulatory processes that govern the biotechnology industry.
  • Explain fundamental principles which underlie modern techniques in biotechnology.
  • Demonstrate proficiency in performing fundamental molecular biology techniques.

Students who successfully complete the Bioinformatics emphasis in the Professional Master of Science Degree program will be able to:

  • Work in cross-disciplinary teams to address questions of relevance to the biotechnology industry through the design and implementation of databases that integrate computational biology and empirical analyses.
  • Explain techniques used to make biological inferences from protein and nucleic acid sequences.
  • Identify biologically relevant problems in biotechnology research.
  • Outline the state and Federal regulatory processes that govern the biotechnology industry.
  • Explain fundamental principles which underlie modern techniques in biotechnology.
  • Demonstrate basic skills in programming, design and management of bioinformatics databases.

Background

N/A

Policy

Accountability

Biology and Natural Sciences/Physics Program, CSUCI

Applicability

N/A

Definition(s)

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Text

Please see attached document.

Exhibit(s)

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