PhD Computer Science, Data Science and Analytics Concentration - Degree Requirements
Students must meet all the degree requirements for the PhD CS General program, click here. In addition, the following requirements must be satisfied:
- Graduate coursework counted for the Ph.D. program must contain at least four graduate courses from the Data Science and Analytics course list below. Additional courses may be approved by the dissertation advisor. Graduate courses completed during the master's degree program may also be used to meet this requirement.
- The student's Ph.D. dissertation research and scholarship must have a strong emphasis on one or more areas of data science and analytics, including but not limited to applied and/or theoretical areas.
Data Science and Analytics
| Title |
Course No. |
Hours |
|---|---|---|
| Introduction to Neural Networks | CAP 5615 | 3 |
| Introduction to Data Science | CAP 5768 | 3 |
| Social Networks and Big Data Analytics | CAP 6315 | 3 |
| Data Mining for Bioinformatic | CAP 6546 | 3 |
| Sparse Learning | CAP 6617 | 3 |
| Machine Learning for Computer Vision | CAP 6618 | 3 |
| Deep Learning | CAP 6619 | 3 |
| Artificial Intelligence | CAP 6635 | 3 |
| Natural Language Processing | CAP 6640 | 3 |
| Data Mining and Machine Learning | CAP 6673 | 3 |
| Information Retrieval | CAP 6776 | 3 |
| Web Mining | CAP 6777 | 3 |
| Advanced Data Mining and Machine Learning | CAP 6778 | 3 |
| Big Data Analytics with Hadoop | CAP 6780 | 3 |
| Computer Performance Modeling | CEN 6405 | 3 |