Ph.D. Curriculum
Standard Curriculum
Students must complete 74 credit hours inclusive of 18 credit hours of dissertation research. Included in the 74 credit hours, students must complete the Responsible Conduct of Research course (GRAD 8302) and the Academic Integrity course (GRAD 8990). Detailed course requirements are shown in the table below.
Credit Hours | Details |
---|---|
18 Credit Hours (Core Courses) | DTSC 8600: Research Design for Data Science (2 credits ) DTSC 8601: Data Science Research Seminar (4×1 credits) DTSC 8110: Statistics for Data Science (3 credits) DTSC 8120: Fundamentals of Machine Learning (3 credits) DTSC 8150: Fundamentals of AI (3 credits) DTSC 8130: Ethics Security, Privacy and Governance of Data for Social Good (3 credits) |
36 Credit Hours | 12 elective courses |
18 Credit Hours | Dissertation research |
2 Credit Hours | Responsible Conduct of Research (GRAD 8302) and Academic Integrity (GRAD 8990) |
Advanced Standing Curriculum
Advanced Standing students are required to complete a minimum of 44 additional credit hours. Detailed course requirements are shown in the table below.
Credit Hours | Details |
---|---|
18 Credit Hours (Core Courses) | DTSC 8600: Research Design for Data Science (2 credits ) DTSC 8601: Data Science Research Seminar (4×1 credits) DTSC 8110: Statistics for Data Science (3 credits) DTSC 8120: Fundamentals of Machine Learning (3 credits) DTSC 8150: Fundamentals of AI (3 credits) DTSC 8130: Ethics Security, Privacy and Governance of Data for Social Good (3 credits) |
6 Credit Hours | 2 Elective Courses |
18 Credit Hours | Dissertation research |
2 Credit Hours | Responsible Conduct of Research (GRAD 8302) and Academic Integrity (GRAD 8990) |