Curriculum

  • Students in the MSGDA program are required to take a minimum of 65.5 credits over the course of two years of study. The coursework is comprised of required courses, elective courses, and a capstone project.
  • Students are required to declare a concentration by May 1 and will begin taking electives in their 2nd year.
  • Students will also complete a summer internship between years 1 and 2.

1st YEAR FALL CORE COURSES – 13.5 Credits

Course Number
Course Name
Credit(s)
Instructor(s)
Introduction to Bioscience Industries
3.0
Bioinformatics in Python
1.5
MSGDA Journal Club
0.0
Human Molecular Genetics
3.0
Genetic Disease Mechanisms
1.5
Clinical Biostatistics
3.0
Data Analytics in Python
1.5

 

1st YEAR SPRING CORE COURSES – 18.5 Credits

Course Number
Course Name
Credit(s)
Instructor(s)
Bioinformatics in R
1.5
Human Genomics NGS Lab
2.0
MSGDA Journal Club
0.0
Human Genomics
3.0
Clinical Cancer Genomics
3.0
Biochemical Genetics
1.5
Data Analytics in R
1.5
Clinical Trial Design and Literature Evaluation
3.0

 

2nd YEAR FALL CORE COURSES – 12.0 Credits

Course Number
Course Name
Credit(s)
Instructor(s)
DNA Sequencing and Variant Analysis
3.0
MSGDA Journal Club
0.0
MSGDA Capstone Project I
6.0

 

2nd YEAR SPRING CORE COURSES – 13.5 Credits

Course Number
Course Name
Credit(s)
Instructor(s)
Pharmacogenomics
1.5
Genomic Knowledge Translation
1.5
Genomic Data Visualization and Management
3.0
MSGDA Journal Club
0.0
MSGDA Capstone Project II
6.0
Healthcare and Life Sciences Industry Ethics
1.5

 

In addition to the above required courses, students will select 6 units of electives to satisfy their concentration requirement.  Students are required to declare their concentration by May 15 of their first year and will begin taking electives in their 2nd year. Up to 3 credits may be counted from courses taken at CGU with permission of the program director.

CLINICAL DECISION SUPPORT

Course Number
Course Name
Credit(s)
Instructor(s)
Human embryology and Prenatal Diagnosis
3.0
Genetic Engineering
1.5
Microbiomics and Pathogen Genomics
1.5
Machine Learning in the Life Sciences
1.5
Molecular Basis of Disease
1.5
Medical Terminology
3.0
Fundamental Papers in Applied Medicine
1.5
Advanced In Vitro Diagnostics
3.0

 

CLINICAL TRIAL DESIGN

Course Number
Course Name
Credit(s)
Instructor(s)
Genetic Engineering
1.5
Machine Learning in the Life Sciences
1.5
Introduction to US Food and Drug Law
1.5
Clinical Trials Design, Conduct and Strategy
1.5
Pharmaceutical Discovery
1.5
Pharmaceutical Development
1.5
Biotechnology-Based Therapeutics
3.0
Technologies for Biomarker and Drug Discovery
1.5

 

ASSAY DEVELOPMENT

Course Number
Course Name
Credit(s)
Instructor(s)
Business Operations
3.0
Genetic Engineering
1.5
Microbiomics and Pathogen Genomics
1.5
Machine Learning in the Life Sciences
1.5
Introduction to US Food and Drug Law
1.5
Molecular Biotechnology
1.5
Medical Terminology
3.0
Medical Diagnostics
3.0
Fundamental Papers in Molecular Biology and Biotechnology
1.5
Fundamental Papers in Applied Medicine
1.5
Advanced In Vitro Diagnostics
3.0
Technologies for Biomarker and Drug Discovery
1.5