Biotechnology Emphasis Area
The University of Missouri’s Data Science and Analytics MS Biotechnology Emphasis equips students with data analytics skillsets to process, mine, and interpret large-scaled genomics and medical records for biotechnology and healthcare industry.
DATA_SCI 8001 Genomics
Synopsis: The course provides a complete overview of the domain knowledge, technical skills and applications of genomics commonly used in industry. Students will review biological and technological foundations for genomics, and explore BLAST, HMM and other biological database search methods. Biological programming tools will be introduced to facilitate assembly and annotation in genomics. This sets students up to use the GATK library for variant analysis, explore comparative genomics, expression analysis and methyl-seq analysis in the latter part of the course.
3 – Credit Hour
Graduates of the Masters of Science in Data Science and Analytics who pursue the Biotechnology emphasis area will achieve the following educational objectives:
- Possess an in depth understanding of the data analytics needs in biotechnology industry and healthcare systems in the US and worldwide;
- Have the ability to practice their analytic skill sets to applications in agriculture, human medicine, and health information systems in genomics, proteomics, phonemics, and electronic medical records;
- Be able to present and interpret their data analytic results with actionable plans in biotech and healthcare industry.
Assistant Research Professor
110 Life Sciences Center
S420 Sinclair School of Nursing
Sample Course Path
Students move through 8 week modules completeting core courses and then progressing through emphasis area concentration courses directly applicable with their area of study.