MA Biology - Biological Data Analytics
Course Overview
This Master of Arts in Biology provides advanced, customizable knowledge in the biological sciences for professionals not pursuing a research-based thesis. It is ideally suited for secondary school science teachers, individuals enhancing their credentials for professional school, and those seeking careers in life science industries. Students can either choose a defined concentration or tailor their specialization in direct consultation with a faculty advisor.
Key Program Highlights
- Designed for working professionals and pre-professional students seeking a non-thesis degree
- Ideal preparation for careers in education, medicine, dentistry, or the life science industry
- Offers flexible, customizable concentrations to align with specific career goals
- Provides dedicated faculty guidance for creating a personalized plan of study
- Builds advanced biological knowledge without a laboratory research requirement
Course Overview
This Master of Arts in Biology provides advanced, customizable knowledge in the biological sciences for professionals not pursuing a research-based thesis. It is ideally suited for secondary school science teachers, individuals enhancing their credentials for professional school, and those seeking careers in life science industries. Students can either choose a defined concentration or tailor their specialization in direct consultation with a faculty advisor.
Key Program Highlights
- Designed for working professionals and pre-professional students seeking a non-thesis degree
- Ideal preparation for careers in education, medicine, dentistry, or the life science industry
- Offers flexible, customizable concentrations to align with specific career goals
- Provides dedicated faculty guidance for creating a personalized plan of study
- Builds advanced biological knowledge without a laboratory research requirement
Requirements
Modules
- Introduction To Genomics
- Bioinformatics
- Reproducible Quantitative Methods For Ecological Data
- Experimental Design And Analysis In Molecular Biology
- Molecular Biology
- Molecular Biology Laboratory
- Introduction To Genomics
- Bioinformatics
- Reproducible Quantitative Methods For Ecological Data
- Medical Genomics
- Evolutionary Biology
- Communities And Ecosystems
- Population And Community Ecology
- Machine Learning And Deep Learning
- Data Mining Techniques
- Big Data Analytics
- Big Data Management
- Probabilistic Data Management
- People In The Information Ecology