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Data Science Concentration

The data science concentration or students interested in exploring methods to source, manage, and analyze “big data” in the context of the biotechnology industry.

Students interested in a concentration in Data Science may also wish to consider pursuing the Applied Statistics and Data Management Certificate.

Coursework for this track focuses on fundamentals and concepts in:

  • Statistical methods
  • Statistical programming
  • Big data analysis

Recommended Elective Courses

  • ST 513 Statistics for Management and Social Sciences I (3 credits)
  • ST 514 Statistics for Management and Social Sciences II (3  credits)
  • ST 554 Analysis of Big Data (Python course) (3  credits; offered spring only)
  • ST 555 Statistical Programming I (SAS course) (3  credits)
  • ST 556 Statistical Programming II (SAS course) (3  credits; offered spring only)
  • DSA 405: Data Wrangling and Web Scraping (need R or python experience (1 credit)
  • DSA 406: Exploratory Data Analysis for Big Data (need R or python experience) (1 credit)
  • DSA 495/595 Special Topics in Data Science (1 credit)