DOCTOR OF PHILOSOPHY

Data Sciences

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

Milestone 1:
Complete 6 courses from the following doctoral-level courses – 18 semester hours:

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

Milestone 2:
Participate in non-credit research symposium


Milestone 3:
Qualifying examination upon completion of doctor-level coursework and research symposium


Milestone 4:
Participate in the Doctoral Research Seminar specific to their area of research for every semester enrolled in the doctoral program – 6 semester hours:

ANLY 760
Doctoral Research Seminar
(6 credits)

Milestone 5:
Complete the dissertation process – 12 semester hours:

ANLY 799
Doctoral Studies
(12 credits)