Online Master of Science in Computational Life Sciences
Are you interested in the intersection of computation, statistics and biological big data? If so, Arizona State University’s Master of Science in computational life sciences may be an ideal choice. You’ll graduate prepared to apply computational skills in a variety of settings across the public, private and nonprofit sectors.
Next start date: 05/16/2024
Total classes: 10
Weeks per class: 7.5
Total credit hours: 30
Degree questions, answered.
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What is computational life sciences?
Computational life sciences is a multidisciplinary field that involves collecting and analyzing complex biological data using computer programming and statistics. Increasingly, the life sciences field requires working with ever-larger biological datasets, such as neurological, behavioral or ecological monitoring data and DNA sequences.
As the life sciences generates new types of big data, such as genomic, transcriptomic, proteomic and metabolomics data, biomarkers and longitudinal samples, the need for those with data science skills increases. According to the U.S. Bureau of Labor Statistics, employment of computer and information research scientists is projected to grow 21% from 2021 to 2031, which is much faster than the average for all occupations.
What you’ll learn in this computational life sciences master’s program
In this program, you’ll gain a grounding in hypothesis-driven and hypothesis-generating research methods. The four competency areas you’ll focus on include computational programming as applied to life sciences data, statistical analysis, biology relevant to big data and scientific ethics.
As you explore the intersection of the life sciences, statistics and data science, you’ll also build a transferable set of skills, such as:
Computational life sciences courses
Your courses cover a variety of interdisciplinary topics that make up computational life sciences ranging from medical and functional genomics to transcriptomics and statistical programming for life sciences.
In addition to completing one core course, you’ll choose two courses in each of the three primary areas of computational life sciences. The program culminates in a capstone or applied project, ensuring you have the practical experience needed for your next step.
Courses may include:
Responsible Conduct in Research
Computing for Research
Data Analysis and Visualization in R
Medical Genetics and Genomics
Molecular Genetics and Genomics
Principles of Evolution
What can you do with a master’s in computational life sciences?
With knowledge of the life sciences, statistics and data science, you’ll be prepared for roles in a variety of industries, such as health care, academia, research and the government. Potential career paths include biotechnology, next-generation DNA and RNA analysis, biostatistics and more. Job titles you can pursue include, but aren’t limited to:
How to apply
Applicants to the Master of Science in computational life sciences program must fulfill the requirements of both the Graduate College and The College of Liberal Arts and Sciences.
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