Bachelor of Science (BS) Degree with a Major in Artificial Intelligence
Program Learning Outcomes for the BS Degree with a Major in Artificial Intelligence
Upon completing the BS degree with a major in Artificial Intelligence, students will be able to:
- Demonstrate a strong understanding of the mathematical foundations of artificial intelligence, including calculus, linear algebra, probability, and statistics.
- Understand, implement, and learn new AI methodologies, including machine learning, deep learning, and artificial intelligence algorithms.
- Be capable of designing, building, and evaluating complex AI-centered systems to solve real-world problems.
- Understand and apply ethical considerations and responsible AI practices, including fairness, transparency, and social responsibility, in the development and deployment of AI systems.
- Be prepared to pursue technical careers implementing and improving AI systems or advanced research degrees in artificial intelligence, demonstrating adaptability to evolving technologies in the field.
Requirements for the BS Degree with a Major in Artificial Intelligence
For general university requirements, see Graduation Requirements. Students pursuing the BS degree with a major in Artificial Intelligence must complete:
- A minimum of 20 courses (68-69 credit hours, depending on course selection) to satisfy major requirements.
- A minimum of 120 credit hours to satisfy degree requirements.
- A minimum of 9 courses (33 credit hours) taken at the 300-level or above.
- A maximum of 5 courses (20 credit hours) from study abroad or transfer credit after matriculation at Rice may be applied towards specific major requirements. For additional departmental guidelines regarding transfer credit, see the Policies tab.
The BS degree with a major in artificial intelligence is designed for students who are interested in an in-depth study of artificial intelligence. It is designed to provide students with a set of analytical and technical skills that will enable them to develop computational models that aim to replicate various aspects of human intelligence. The undergraduate program consists of required math courses; computer science core courses; artificial intelligence core courses; and artificial intelligence electives, which give students the freedom to explore specific interests within the domain of artificial intelligence.
The courses listed below satisfy the requirements for this major. In certain instances, courses not on this official list may be substituted upon approval of the major’s academic advisor or, where applicable, the department's Director of Undergraduate Studies. (Course substitutions must be formally applied and entered into Degree Works by the major's Official Certifier.) Students and their academic advisors should identify and clearly document the courses to be taken.
Summary
| Code | Title | Credit Hours |
|---|---|---|
| Total Credit Hours Required for the Major in Artificial Intelligence | 68-69 | |
| Total Credit Hours Required for the BS Degree with a Major in Artificial Intelligence | 120 | |
Degree Requirements
| Code | Title | Credit Hours |
|---|---|---|
| Core Requirements | ||
| Mathematics | ||
| COMP 282 | COMPUTATIONAL OPTIMIZATION FOR AI | 3 |
| MATH 101 | SINGLE VARIABLE CALCULUS I | 3 |
| MATH 102 | SINGLE VARIABLE CALCULUS II | 3 |
| MATH 212 | MULTIVARIABLE CALCULUS | 3 |
| STAT 315 | PROBABILITY AND STATISTICS FOR DATA SCIENCE | 4 |
| Computer Science | ||
| COMP 140 | COMPUTATIONAL THINKING | 4 |
| COMP 182 | ALGORITHMIC THINKING | 4 |
| COMP 215 | INTRODUCTION TO PROGRAM DESIGN | 4 |
| COMP 222 | INTRODUCTION TO COMPUTER ORGANIZATION | 4 |
| Artificial Intelligence | ||
| COMP 329 | ||
| COMP 345 | ||
| COMP 346 | ||
| COMP 348 | ||
| COMP 456 | ||
| COMP 457 | ||
| PHIL 110 | ||
| PSYC 203 | INTRODUCTION TO COGNITIVE PSYCHOLOGY | 3 |
| Elective Requirements | ||
| Select 1 course (3 credit hours) from 3 of the following 5 Artificial Intelligence Elective areas | 9-10 | |
| Artificial Intelligence Theory | ||
| ADVANCED LOGIC IN COMPUTER SCIENCE | ||
| OPTIMIZATION: ALGORITHMS, COMPLEXITY AND APPROXIMATIONS | ||
| PROBABILISTIC ALGORITHMS AND DATA STRUCTURE | ||
| PROBABILISTIC TOOLKIT FOR LEARNING AND COMPUTING | ||
| Cognitive Psychology | ||
| COMPUTATIONAL MODELING OF COGNITIVE PROCESSES | ||
| HUMAN FACTORS IN ARTIFICIAL INTELLIGENCE | ||
| Knowledge and Graphs | ||
| MACHINE LEARNING WITH GRAPHS | ||
| INTRODUCTION TO INFORMATION RETRIEVAL | ||
| Perception and Language | ||
| INTRODUCTION TO COMPUTER VISION | ||
| NATURAL LANGUAGE PROCESSING | ||
| Robotics and Autonomy | ||
| REINFORCEMENT LEARNING | ||
| ALGORITHMIC AND AI-DRIVEN ROBOTICS | ||
| INTRODUCTION TO MODERN ROBOTICS | ||
| Total Credit Hours Required for the Major in Artificial Intelligence | 68-69 | |
| Additional Credit Hours to Complete Degree Requirements * | ||
| University Graduation Requirements * | 31 | |
| Total Credit Hours | 120 | |
Footnotes and Additional Information
| * | Note: University Graduation Requirements include 31 credit hours, comprised of Distribution Requirements (Groups I, II, and III), FWIS, and LPAP coursework. In some instances, courses satisfying FWIS or distribution requirements may additionally meet other requirements, such as the Analyzing Diversity (AD) requirement, or some of the student’s declared major, minor, or certificate requirements. Additional Credit Hours to Complete Degree Requirements include general electives, coursework completed as upper-level, residency (hours taken at Rice), and/or any other additional academic program requirements. |
Policies for the BS Degree with a Major in Artificial Intelligence
Transfer Credit
For Rice University’s policy regarding transfer credit, see Transfer Credit. Some departments and programs have additional restrictions on transfer credit. Requests for transfer credit must be approved for Rice equivalency by the designated transfer credit advisor for the appropriate academic department offering the Rice equivalent course (corresponding to the subject code of the course content). The Office of Academic Advising maintains the university’s official list of transfer credit advisors on their website: https://oaa.rice.edu. Students are encouraged to meet with the applicable transfer credit advisor as well as their academic program director when considering transfer credit possibilities.
Program Transfer Credit Guidelines
Students pursuing the major in Artificial Intelligence should be aware of the following program-specific transfer credit guidelines:
- No more than 5 courses (20 credit hours) of transfer credit from U.S. or international universities of similar standing as Rice may apply towards specific major requirements after matriculation at Rice.
Additional Information
For additional information, please see the Artificial Intelligence website: .
Opportunities for the BS Degree with a Major in Artificial Intelligence
Academic Honors
The university recognizes academic excellence achieved over an undergraduate’s academic history at Rice. For information on university honors, please see Latin Honors (summa cum laude, magna cum laude, and cum laude) and Distinction in Research and Creative Work. Some departments have department-specific Honors awards or designations.
Additional Information
For additional information, please see the Artificial Intelligence website: .