Arizona State University The College of Liberal Arts and Sciences 13 courses 30 total credits
The Master of Science program in computational life sciences introduces you to a burgeoning new field. Huge leaps in processing technologies have thrown open the doors for new research techniques and exciting opportunities for interdisciplinary collaborations, focusing heavily on genomics data generation, analysis and interpretation. You gain expertise in statistical modeling, bioinformatics and data science methods that drive discoveries across genomics, transcriptomics, proteomics, metabolomics, epigenomics and imaging data. The curriculum emphasizes hands-on training in data integration, visualization and machine learning to uncover patterns and generate actionable insights. Drawing from disciplines such as molecular and cellular biology, neuroscience, evolutionary biology, ecology and systems biology, you work with diverse datasets ranging from DNA and RNA sequencing to protein networks, single-cell analyses, ecological monitoring, and long-term environmental data. In addition, you critically engage with the ethical, legal and social implications of computational life sciences, including responsible data sharing, reproducibility and the challenges of working with sensitive biomedical information.
| Required Core | 1 credits |
| Restricted Electives | 18-20 credits |
| Culminating Experience | 3 credits |
| Total Credits | 30 credits |
Required Core
| Code | Course Title | Credits |
|---|---|---|
| BIO 511 | Big Data in Context | 1 |
| BIO 610 | Introduction to Responsible Conduct of Research (RCR) in Life Sciences | 1 |
| Total Required Core | 1 credits | |
Restricted Electives
Choose two computing in life sciences courses for six to seven credit hours: Choose two statistics and mathematics courses for six to seven credit hours: Choose two biology courses for six credit hours:
Culminating Experience
| Code | Course Title | Credits |
|---|---|---|
| BIO 593 | Applied Project | 3 |
| BIO 597 | Capstone | 3 |
| Total Culminating Experience | 3 credits | |
Additional Curriculum Information
For restricted electives, students complete two computing in life sciences courses, two statistics and mathematics courses, and two biology courses. Restricted elective and electives or research credit hours are variable. Students pursuing the applied project or capstone course complete three to six credit hours of electives or research. Students should consult the academic unit for a list of approved electives and research course requirements. Courses not selected for the restricted electives may be used as elective coursework on the same plan of study. Students should check with their academic advisor to ensure that the total number of credit hours of their plan of study is equal to 30.
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