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A Master of Science in Quality Management and Analytics (abbreviated QMA or MSQMA) is a postgraduate academic master's degree in Quality Management and Analytics, also known as M.S. in QM and Analytics. Candidates of M.S. in Quality Management and Analytics are required to have at least a bachelor's degree from an accredited university.
Graduates of this program are awarded the degree of Doctor of Philosophy (Ph.D.) in Biological Sciences or the degree of Master of Science (M.S.) in Translational Medicine, and as such are equipped to address fundamental questions in the life sciences and biomedicine. Most graduates pursue careers in academia, industry, or government. [1]
Behavioral neuroscience, also known as biological psychology, [1] biopsychology, or psychobiology, [2] is part of the broad, interdisciplinary field of neuroscience, with its primary focus being on the biological and neural substrates underlying human experiences and behaviors, as in our psychology.
Biomedical data science is a multidisciplinary field which leverages large volumes of data to promote biomedical innovation and discovery. Biomedical data science draws from various fields including Biostatistics, Biomedical informatics, and machine learning, with the goal of understanding biological and medical data.
Students may only complete a master's degree as part of the research-focused Ph.D. program, which typically lasts four to five years. Graduates may go on to follow an academic career or work in the government, consulting firms, tech companies, social service agencies, or the medical field. [12]
[2] [page needed] Unlike other subdivisions within biological psychology, the main focus of psychological research is the development of theories that describe brain-behavior relationships. Physiological psychology studies many topics relating to the body's response to a behavior or activity in an organism. [3]
Biological psychiatry or biopsychiatry is an approach to psychiatry that aims to understand mental disorder in terms of the biological function of the nervous system.It is interdisciplinary in its approach and draws on sciences such as neuroscience, psychopharmacology, biochemistry, genetics, epigenetics and physiology to investigate the biological bases of behavior and psychopathology.
Machine learning can aid in analysis, and has been applied to expression pattern identification, classification, and genetic network induction. [2] A DNA-microarray analysis of Burkitt's lymphoma and diffuse large B-cell lymphoma (DLBCL), which differences in gene expression patterns