DOCTOR OF PHILOSOPHY

Data Sciences

Specific Course Requirements for the Ph.D. in Data Sciences

The following courses assume the completion of the 36 semester hours required for the Ph.D. in Data Sciences. Each course listed represents a three-semester hour value. Details about each of the Milestones can be found in the Ph.D. Guidebook on the Records and Registration SharePoint Site https://myharrisburgu.sharepoint.com/sites/Academics).

Complete 18 semester hours from the following upper-level courses:

  • ANLY 705 – Modeling for Data Science (3 semester hours)
  • ANLY 710 – Applied Experimental and Quasi-Experimental Design (3 semester hours)
  • ANLY 715 – Applied Multivariate Data Analysis (3 semester hours)
  • ANLY 720 – Data Science from an Ethical Perspective (3 semester hours)
  • ANLY 725 – Research Seminar in Unstructured Data Analysis (3 semester hours)
  • ANLY 730 – Research Seminar in Forecasting (3 semester hours)
  • ANLY 735 – Research Seminar in Machine Learning (3 semester hours)
  • ANLY 740 – Graph Theory (3 semester hours)
  • ANLY 745 – Functional Programming Methods for Data Science (3 semester hours)
  • ANLY 755 – Advanced Topics in Big Data (3 semester hours)

Complete 6 semester hours of Doctoral Research Seminars and defend the dissertation proposal

  • ANLY 760 – Doctoral Research Seminar (6 semester hours)
  • ANLY 761 – Research Seminar in Unstructured Data Analysis (3 semester hours)
  • ANLY 762 – Research Seminar in Forecasting (3 semester hours)
  • ANLY 763 – Research Seminar in Machine Learning (3 semester hours)

A comprehensive examination to qualify for doctoral thesis research work

Complete the dissertation process (12 semester hours of ANLY 799: Doctoral Studies) and defend the dissertation

  • ANLY 799 – Doctoral Studies (6 semester hours)