This website uses cookies to understand how you use the website and to improve your experience. By continuing to use the website, you accept the University of New England’s use of cookies and similar technologies. To learn more about our use of cookies and how to manage your browser cookie settings, please review our Privacy Notice.

Accept

Health Data Analytics track

Students in the Health Data Analytics (HDA) track will learn two high demand programming languages, Python and SQL, which are the two core skills in Artificial Intelligence (AI) and big data.  

As a Pharm.D. student, you are eligible to earn a certificate that designates your completion of the HDA track at the beginning of your P2 year, provided you meet the following requirements:

  1. Successful completion of two required courses (Python and SQL) offered by the department, and/or other departments at UNE.
    • Note: You might take SQL from Math department (DSC 301: Introduction to Database Design/SQL) or online Health Informatics Program (HIN 620: Database Design, Standards, Access, Modeling).
  2. One of the following electives (credits may vary) offered by the college of pharmacy and/or other departments at UNE:
    • PHAX 203: Unix Computing and Molecular Visualization (2 credits) Highly Recommended
    • GPH 714: Principles of Public Health (3 credits)
    • GPH 712: Principles of Epidemiology (3 credits)
    • GPH 719: Research Methods (3 credits)
    • HIN 601: Health and Public Health Landscape (3 credits)
  3. Complete an HDA project, which needs to be approved by the HDA track faculty members.

For additional information, please contact the Faculty Coordinator, Dr. Chunhao Tu, at ctu@une.edu.