Combine data mining skills and biological understanding to solve pressing problems in the life sciences
Courses in the online M.S. in Data Science's Data Science for Life Scientists concentration are designed to heighten your understanding of data analysis as it relates to the fields of health and biology. The concentration requires 12 credit hours and is made up of four courses.
Concentration Course Descriptions
02-509 Introduction to Computational Biology (3)
This course will cover the computational techniques used to access, analyze, and interpret the biological information in common types of biological databases and the biological questions that can be addressed by such methods, applicable to the study of the context of genes within the same genome and across different genomes, the study of molecular sequence data for the purpose of inferring the function, interactions, evolution and structure of biological molecules, and the study of annotation and ontology.
YOUR OPPORTUNITY: You'll discover opportunities for applying data mining and analysis techniques to the huge volumes of data that describe biological and healthcare delivery systems.
02-510 Data Systems in the Life Sciences (3)
This is a continuation of 02-509. Students will examine how bioinformatics, statistics and computation are being used to support the discovery of new biomedical knowledge and learn the basics of computational methods used to analyze molecular sequences and structures.
YOUR OPPORTUNITY: You'll learn how healthcare systems store and analyze data using existing information systems.
02-512 Research in Biotechnology (3)
Methods and sources for conducting research in biotechnology. A series of guest presentations will expose students to current trends in and applications of biotechnology. Students will conduct their own research based on these presentations. Use of primary sources, data collection techniques, and ethical conduct of research will be emphasized.
YOUR OPPORTUNITY: You'll discover the cutting edge of research in data science in the life sciences and prepare to conduct your own research for your thesis.
02-590 Data Mining and Analytics Thesis for Life Scientists (3)
The student will pursue a research project that makes a scholarly contribution to existing knowledge and practice in the field of data analytics as it is applied to the Life Sciences. The student will write a formal thesis that documents the conduct, results, and conclusions of his or her project. Upon successful completion of the thesis, the student will submit the paper for review by a thesis committee consisting of faculty in the Biology and Computer Science departments, along with possibly additional experts from industry. The student will make an oral defense of the work to the thesis committee. Prerequisite: 02-510 and a minimum of 24 hours earned in the MS-DMA program.
YOUR OPPORTUNITY: You'll establish yourself as an expert in data mining as it applies to the life sciences through your own research conducted under the guidance of Lewis professor.
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Learn more about the curriculum of the online M.S. in Data Science with a Life Scientists concentration program. Request more information or call us today at (866) 967-7046.