Graduates of the MS in Computational Genomic Medicine (CGM) enter a rapidly expanding workforce equipped with the skills the biomedical field needs most right now, contributing greatly to an urgent national need. Upon graduation, students are ready to work across biomedical research, clinical care, and public health with training objectives woven through every stage of the curriculum.
The U.S. Bureau of Labor Statistics projects above-average growth for careers in computational biology, medical science, biochemistry, and computer research fields where median starting salaries exceed $75,000. Graduates in this field have gone onto excel in a variety of careers.
The Future of Computational Genomic Medicine
Upward Momentum
The U.S. CGM market was valued at $3.2 billion in 2024. The market is expected to reach from $3.5 billion in 2025 to $9.5 billion in 2034.
A Growing Demand
The National Human Genome Research Institute’s 2020 strategic vision, The Forefront of Genomics, underscores a critical reality: training and workforce development are top priorities. Cultivating expertise in computational and genomic sciences is vital to sustaining the next generation of medical discovery.
Fast Moving Field
The U.S. computational biology industry is experiencing several notable trends shaping its growth and development. Factors such as the integration of AI and deep learning in biological modeling, the expansion of cloud-based bioinformatics platforms, the rise of multi-omics data integration, and increased collaboration between academia and industry, among others, are collectively driving the industry growth.
Sources: Yahoo!finance, market.us, nature.com and Global Market Insights
Culminating Experience
Research conducted within a faculty member’s lab or experiential learning within a hospital setting will serve as the culminating experience for the MS degree. This experience will provide the student with the opportunity to use what was learned in the classroom to conduct research in the real world.
Pathway to PhD or MD
The CGM program can serve as a strong launchpad for students aiming to pursue a PhD or attend medical school. Students gain hands-on computational expertise, meaningful research experience, and access to a collaborative network of basic science and clinical faculty which gives them a competitive edge for the next stage of their academic journey.