Program Overview
Artificial Intelligence, M.S.
The Master of Science in Artificial Intelligence at Saint Louis University prepares students to apply artificial intelligence methods efficiently and ethically to solve complex problems and impact society's well-being. This graduate program provides students with in-depth knowledge of the models and technologies used in artificial intelligence and machine learning.
Overview
Through a partnership with faculty across the University, students can apply these techniques in specialized areas such as autonomous systems, bioinformatics, data science, health outcomes, image processing, and natural language processing.
Curriculum Overview
Students engage in the theory of artificial intelligence (AI) and machine learning (ML) and apply AI/ML in practice, including a culminating research thesis or team-based capstone project. They also consider the impact of AI on society, implicit bias in AI systems, and the ethical development and deployment of technologies.
Fieldwork and Research Opportunities
The program's location in St. Louis provides access to a strong technology community, operations of many Fortune 500 companies, and a vibrant startup hub, offering outstanding opportunities for internships, part-time work, and jobs after graduation.
Careers
Careers related to artificial intelligence and computer science are highly regarded for their excellent pay, work-life balance, and personal reward. Examples include data scientist, software developer, IT manager, information security analyst, and web developer.
Admission Requirements
- A bachelor's degree in a STEM major is typical.
- An undergraduate GPA of 3.00 or better is preferred.
- Evidence of strong computational and mathematical skills is required.
- GRE general scores are recommended.
Application Requirements
- Transcript(s)
- One letter of recommendation (two more are optional)
- Résumé
- Statement of professional goals
- GRE general scores (recommended)
Requirements for International Students
International students must demonstrate English language proficiency and provide academic records with an English translation. They must also submit financial documents for their F-1 visa application.
Application Deadlines
- November 1 for January admission
- June 1 for August admission
Review Process
Applications are reviewed as they are completed. A panel of faculty members decides on acceptance and evaluates applicants for potential scholarships or assistantships.
Tuition
The total program cost for the MS in Artificial Intelligence is $42,000, with additional charges possible.
Scholarships, Assistantships, and Financial Aid
The computer science department offers merit-based financial support, including tuition scholarships and graduate assistantships. Students may also seek external scholarships.
Learning Outcomes
Graduates will be able to:
- Select the most appropriate artificial intelligence methods for solving a given problem.
- Design an experiment to evaluate the quality of a machine learning model.
- Apply artificial intelligence techniques to solve complex problems in an application domain.
- Design and implement a software solution that meets computing requirements.
- Make informed and ethical decisions regarding the impact of artificial intelligence technologies.
- Assess literature and technical documents in artificial intelligence and machine learning.
- Communicate methods and results effectively to both professional and general audiences.
Course List
- Artificial Intelligence Foundations (0-7 credits for students without a computer science background)
- Required Courses:
- CSCI 5030: Principles of Software Development
- CSCI 5050: Computing and Society
- CSCI 5740: Introduction to Artificial Intelligence
- CSCI 5750: Introduction to Machine Learning
- Artificial Intelligence Principles course (3 credits)
- Artificial Intelligence Applications course (3 credits)
- Artificial Intelligence Electives (6 credits)
- Choose the Thesis or Non-Thesis Option (6 credits)
Non-Course Requirements
All graduate degree candidates must complete an exit survey with the department during their final semester.
Continuation Standards
Students must maintain a cumulative GPA of 3.00 in all graduate/professional courses.
Roadmap
The roadmap provides a recommended semester-by-semester plan of study, assuming full-time enrollment. Critical courses must be completed in the semester listed to ensure timely graduation.