Computational Science and Artificial Intelligence (PhD)
Offered by the Department of Computer Science, in partnership with the Department of Mathematics and Statistics and Department of Physics, College of Arts and Sciences.
Admission to the Program
In addition to meeting the minimum university requirements for graduate study, applicants must submit a completed graduate application form, two letters of recommendation, and copies of all college transcripts.
Degree Requirements
- 39 credit hours of approved graduate work, exclusive of CSC-898/CSC-899
- Comprehensive Exam: A student, with the help of their PhD advisor (also the chair of the committee), chooses a topic for specialization and forms a dissertation committee of at least four members (including the advisor), at least two of whom are full-time faculty at American University. The student is given a written and oral examination on this topic prepared and scored by the committee members. A student who fails the comprehensive examination may apply to the program director for one additional attempt
- Original Research Proposal: Students develop an original written research proposal and orally present it before their dissertation committee, thereby preparing them for the final dissertation defense
- Advancement to Candidacy: Students are considered "advanced to candidacy" (or "all-but-dissertation") when they have completed all required course credits, have passed their comprehensive exam, and have an approved dissertation proposal by the dissertation committee
- Dissertation: Subject to applicable university academic regulations, students must obtain approval of the program director for the composition of the dissertation committee, typically during the third year. The dissertation committee should normally include faculty from at least two disciplines (e.g., Computer Science, Mathematics and Statistics, Physics, or other sciences)
Course Requirements
Core (12 credit hours)
- CSC-668 Artificial Intelligence (3)
- DATA-642 Advanced Machine Learning (3)
- ETHC-630 AI Ethics (3)
- PHYS-665 Computational Modeling for Science and Engineering (3)
Directed Research (6 credit hours)
Disciplinary Track (21 credit hours)
Complete 21 credit hours from one of the following tracks, or other courses approved by program advisor:
Artificial Intelligence
- CSC-676 Computer Vision (3)
- CSC-680 Introduction to Data Mining (3)
- CSC-681 Machine Learning for Cybersecurity (3)
- CSC-683 Cloud Computing and Machine Learning (3)
- CSC-684 Ethical and Legal Issues in Computing (3)
- CSC-685 Introduction to Information Visualization (3)
- CSC-686 Deep Learning in Vision (3)
- CSC-687 Natural Language Processing and Text as Data (3)
Computational Astronomy and Physics
- ENSC-685 Remote Sensing: Environmental Measurement from Satellites and Drones (3)
- PHYS-660 Statistical Mechanics (3)
- PHYS-675 Quantum Information and Computation (3)
- PHYS-690 Independent Study Project (1-6)
- PHYS-691 Internship (1-6)
Foundations of Data Science
- CSC-660 Tools of Scientific Computing (3)
- DATA-641 Applied Natural Language Processing (3)
- DATA-645 Neural Networks and Deep Learning (3)
- MATH-631 Information Theory (3)
- MATH-665 Numerical Analysis: Basic Problems (3)
- STAT-627 Statistical Machine Learning (3)
- STAT-630 Mathematical Statistics I (3)
- STAT-631 Mathematical Statistics II (3)
- STAT-684 Introduction to Stochastic Processes (3)
Dissertation
- CSC-899 Doctoral Dissertation (9) (only after advancement to candidacy)