The University of Georgia has always viewed Cognitive Science and Artificial Intelligence as interdisciplinary fields where computer science meets philosophy, psychology, linguistics, engineering and other disciplines. Both fields are devoted to the study of cognition and intelligent systems. Artificial Intelligence is particularly interested in creating computer systems that behave intelligently. The Institute for Artificial Intelligence is an interdepartmental research and instructional unit within the Franklin College of Arts and Sciences of the University of Georgia.
The Institute's strengths include Machine Learning, Robotics, Computer Vision, Neural and Deep networks, Genetic and Evolutionary Algorithms, Knowledge Representation and Reasoning, Natural Language Processing and Computational Psycholinguistics. Affiliated with the Institute are over 40 UGA faculty from seven colleges. We pride ourselves on the diversity of our student body and the ability of our programs to allow for the pursuit of personal research interests.
This major is part of a Double Dawgs pathway: Cognitive Science AB/Artificial Intelligence MS Computer Science BS/Artificial Intelligence MS For more information, go to doubledawgs.uga.edu
Evette Dunbar evette.dunbar@uga.edu Boyd GSRC, Room 516 706-542-0358
30 hours
To apply to the Master of Science in Artificial Intelligence, you must apply online through the UGA Graduate School web page. There is an application fee, which must be paid at the time the application is submitted. There are several items which must be included in the application: - Standardized test scores, including the GRE - 3 letters of recommendation, preferably from university faculty and/or professional supervisors. We encourage you to submit the letters to the graduate school online as you complete the application process. - A sample of scholarly writing, in English. This can be anything you've written but should give an accurate indication of your writing abilities. The writing sample can be a term paper, research report, journal article, published paper, college paper, etc. - A completed Application for Graduate Assistantship, if you are interested in receiving funding - A Statement of Purpose - A Resume or Curriculum Vitae
| ARTI 6950 | Faculty Research Seminar | 1 |
| ARTI 7300 | Master's Thesis | 1-9 |
| CSCI 4380/6380 | Data Mining | 4 |
| CSCI(PHIL) 4550/6550 | Artificial Intelligence | 3 |
| PHIL(LING) 4510/6510 | Deductive Systems | 3 |
| ARTI 7000 (up to 2 hours) | Master's Research | 1-9 |
Choose 8 credit hour(s) from the following:
| CSCI 4330/6330 | Artificial Intelligence and the Web | 4 |
| CSCI 4360/6360 | Data Science and Applied Machine Learning II | 4 |
| CSCI(ARTI) 4530/6530 | Introduction to Robotics | 4 |
| CSCI(ARTI) 4540/6540 | Symbolic Programming | 3 |
| CSCI 4560/6560 | Evolutionary Computation and Its Applications | 4 |
| CSCI(ARTI) 4600/6600 | Reinforcement Learning | 3 |
| CSCI 4800/6800 | Human-Computer Interaction | 4 |
| CSCI 8050 | Knowledge-Based Systems | 4 |
| CSCI 8265 | Trustworthy Machine Learning | 4 |
| CSCI 8360 | Data Science Practicum | 4 |
| CSCI 8380 | Advanced Topics in Information Systems | 4 |
| CSCI 8535 | Multi-Robot Systems | 4 |
| CSCI(PHIL) 8650 | Logic and Logic Programming | 4 |
| CSCI 8820 | Computer Vision and Pattern Recognition | 4 |
| CSCI 8860 | Biomedical Informatics | 4 |
| CSCI 8920 | Decision Making Under Uncertainty | 4 |
| CSCI(ENGR) 8940 | Computational Intelligence | 4 |
| CSCI 8945 | Advanced Representation Learning | 4 |
| CSCI(ARTI) 8950 | Machine Learning | 4 |
| CSCI 8955 | Advanced Data Analytics: Statistical Learning and Optimization | 4 |
| CSCI 8960 | Privacy-Preserving Data Analysis | 4 |
| ENGL(LING) 6885 | Introduction to Humanities Computing | 3 |
| FORS 8450 | Advanced Forest Planning | 3 |
| GEOG 4591/6591 | Introduction to Geospatial Artificial Intelligence | 3 |
| GEOG 4592/6592 | Advanced Geospatial Artificial Intelligence | 3 |
| GEOG 4593/6593 | Geospatial Semantics and Geo-Text Mining | 3 |
| GEOG 8350 | Machine Learning with Geospatial Big Data | 3 |
| LING 4570/6570 | Natural Language Processing | 3 |
| MIST 7770 | Business Intelligence and Analytics | 3 |
| STAT 8470 | Advanced Network Data Analysis and Graphical Models | 3 |
Choose 6 credit hour(s) from the following:
| ARTI(PHIL) 4340/6340 | Ethics and Artificial Intelligence | 3 |
| ENGL(LING) 6886 | Text and Corpus Analysis | 3 |
| EPSY 8620 | The Creative Brain | 3 |
| LING 4022/6022 | Advanced Phonetics and Phonology | 3 |
| LING 4160/6160 | Compositional Semantics | 3 |
| LING 8021 | Phonetics and Phonology | 3 |
| LING 8120 | Morphology | 3 |
| LING 8150 | Generative Syntax | 3 |
| LING 8160 | Advanced Generative Syntax | 3 |
| LING 8180 | Seminar in Phonetics/Phonology | 3 |
| PHIL(EETH) 4250/6250 | Philosophy of Technology | 3 |
| PHIL(LING) 4300/6300 | Philosophy of Language | 3 |
| PHIL 4310/6310 | Philosophy of Mind | 3 |
| PHIL 4410/6410 | Philosophy of Natural Science | 3 |
| PHIL(LING) 4520/6520 | Model Theory | 3 |
| PHIL 4530/6530 | Philosophy of Mathematics | 3 |
| PHIL(LING) 8300 | Seminar in the Philosophy of Language | 3 |
| PHIL 8310 | Seminar in the Philosophy of Mind | 3 |
| PHIL 8500 | Seminar in Problems of Logic | 3 |
| PHIL 8600 | Seminar in Metaphysics | 3 |
| PHIL 8610 | Seminar in Epistemology | 3 |
| PSYC 6100 | Cognitive Psychology | 3 |
| PSYC 8240 | Judgment and Decision-Making | 3 |
Students may under special circumstances use up to 4 hours from the following list to apply towards the SELECT group requirement.
Choose a maximum of 4 credit hour(s) from the following:
| ARTI 8000 | Topics in Artificial Intelligence | 3 |
| ARTI 8800 | Directed Readings in Artificial Intelligence | 1-5 |
| GRSC 7001 | GradFIRST: First-year Research and Scholarship Training Seminar | 1 |
Every MSAI student must pass a comprehensive oral examination on their Program of Study before defending their thesis. The comprehensive examination is open to the University community. Students will answer questions from both their advisory committee and the audience. Each committee member votes to pass or fail the student, and at least two passing votes are required for final approval.
In addition to the course work and comprehensive examination, every student must conduct research in artificial intelligence under the direction of a faculty advisor and advisory committee and report the results of his or her research in a thesis acceptable to the Graduate School. The advisory committee votes to pass or fail both the written thesis and a separate defense of the thesis. The IAI accepts either the manuscript style thesis or the regular research style thesis. With the manuscript style thesis there is a requirement of (at least) two publications in a national level conference or journal. IC-AI, FLAIRS, and IEA-AIE are national level conferences, SE-ACM or IEEE Southeast are not.
Select additional courses, as needed, in consultation with an advisor to meet the minimum number of required credit hours for this program.