Biotechnology Emphasis Area

Biotechnology Program Overview

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.


Ilker Ersoy

Postdoctoral Fellow

246 Naka Hall
(573) 884-1468

Scott Givan

Biotechnology Course Coodinator 

113 Bond Life Science Center
(573) 882-2948

Trupti Joshi

Assistant Research Professor

110 Life Sciences Center

Lori Popejoy

Associate Professor

S420 Sinclair School of Nursing
(573) 884-9538

Dong Xu


227 Naka Hall
(573) 882-2299

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.


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