Artificial Intelligence, M.S.

Saint Louis University’s Master of Science in Artificial Intelligence prepares students to apply artificial intelligence methods both efficiently and ethically in order to solve difficult problems and impact the well-being of society.

This SLU graduate program provides students with a depth of knowledge regarding the models and technologies used to make advances in underlying artificial intelligence and machine learning. Through a partnership with faculty across the University, students may choose to apply these techniques in specialized areas of application such as:

• Autonomous systems
• Bioinformatics
• Data science
• Health outcomes
• Image processing
• Natural language processing

Curriculum Overview

Students in SLU's artificial intelligence degree program engage in the theory of artificial intelligence (AI) and machine learning (ML) and in applying AI/ML in practice, including a culminating research thesis or team-based capstone project. Students also consider important questions regarding the impact of AI on society, implicit bias that may result from AI systems and the ethical development and deployment of technologies.

Fieldwork and Research Opportunities

From SLU's location in the Midtown area of St. Louis, our students have access to a strong technology community, operations of many Fortune 500 companies and a vibrant startup hub. This provides outstanding opportunities for summer internships, part-time work during the academic year and jobs after graduation.

Employers in St. Louis who show great interest in computer science students include Boeing, Centene, Citi, Deloitte, Enterprise, Express Scripts, KPMG, Maritz, MasterCard, Microsoft, Bayer and World Wide Technologies. Other graduates have worked for smaller companies or even started their own companies.

SLU's campus is within walking distance to the Cortex Innovation Community, a vibrant 200-acre — and growing — innovation hub and technology district. Cortex is home to SLU's Research Innovation Group, which works on technology transfer and commercial partnerships. Cortex is also home to the weekly Venture Cafe, is a great place for students to connect with members of the tech community in a friendly and informal setting. Also in downtown St. Louis is the T-REX Technology Entrepreneur Center, a coworking space and technology incubator.

Careers

Careers related to artificial intelligence and computer science are routinely found on various "best jobs" lists because of their wonderful combination of excellent pay, satisfying work-life balance, and personal reward in seeing the great impact that computing can have throughout society. As a sample of such listings:

• U.S. News 100 Best Jobs list for 2024 named data scientist as #8. Other computing jobs in the top 100 included software developer (#3), IT manager (#4), information security analyst (#7), web developer (#21), computer systems analyst (#61), computer network architect (#77).
• U.S. Bureau of Labor Statistics lists data scientist as the occupation with the third-highest projected growth through 2032. Other computing jobs ranked in the top 20 include information security analyst (#5), software developer (#10), computer and information research scientists (#13).
• Glassdoor's 50 Best Jobs in America list for 2022 named data scientist as #3 and machine learning engineer as #6. Other computing jobs in the top 25 include enterprise architect (#1), Java developer (#9), devops engineer (#4), information security engineer (#15), software engineer (#8), back-end engineer (#11), cloud engineer (#12) and UX designer (#24).

Admission Requirements

A bachelor's degree in a science, technology, engineering or math major (STEM) is typical. Most successful applicants have an undergraduate grade point average of 3.00 or better on a 4.00 scale. Applicants should have evidence of strong computational skills (generally through prior coursework in programming and data structures), as well as evidence of strong mathematical skills, (generally through prior coursework in calculus and statistics).
 

Application Requirements

• Transcript(s)
• One letter of recommendation is required; two more are optional
• Résumé
• Statement of professional goals
• GRE general scores recommended

Requirements for International Students

All admission policies and requirements for domestic students apply to international students. International students must also meet the following additional requirements:

• Demonstrate English Language Proficiency
• Academic records, in English translation, of students who have undertaken postsecondary studies outside the United States must include:
  • Courses taken and/or lectures attended
  • Practical laboratory work
  • The maximum and minimum grades attainable
  • The grades earned or the results of all end-of-term examinations
  • Any honors or degrees received.
• WES and ECE transcripts are accepted.
• In order to be issued an I-20 for your F-1 visa application, students must submit financial documents. Proof of financial support that must include:
  • A letter of financial support from the person(s) or sponsoring agency funding the student's time at Saint Louis University
  • A letter from the sponsor's bank verifying that the funds are available and will be so for the duration of the student's study at the University

Application Deadlines

Applications for January admission must be completed by the preceding Nov. 1, while applications for August admission must be completed by June 1. Applicants seeking scholarships or graduate assistantships are encouraged to apply earlier.

Review Process

Applications will be reviewed as they are completed. A panel of faculty members from the Department of Computer Science will decide on acceptance, and all applicants will be evaluated for potential scholarships or assistantships.

Tuition

Additional charges may apply. Other resources are listed below:

Net Price Calculator

Information on Tuition and Fees

Miscellaneous Fees

Information on Summer Tuition

Scholarships, Assistantships and Financial Aid

The computer science department offers several forms of merit-based financial support for graduate students. These include possible tuition scholarships and graduate assistantships that may include full or partial tuition, health insurance and a stipend for living expenses in exchange for the assistant’s contributions to the teaching or research mission of the department. Students may also seek their own scholarships from a variety of independent organizations that support graduate education in STEM fields.

For more information, contact the Office of Student Financial Services.

1. Graduates will be able to select the most appropriate choice among artificial intelligence methods for solving a given problem.
2. Graduates will be able to design an experiment to evaluate the quality of a machine learning model and predict its accuracy in a solution environment.
3. Graduates will be able to apply techniques from artificial intelligence to solve complex problems in an application domain.
4. Graduates will be able to design and implement a software solution that meets a given set of computing requirements. 
5. Graduates will be able to make informed and ethical decisions regarding the impact of artificial intelligence technologies.
6. Graduates will be able to assess literature and technical documents in the fields of artificial intelligence and machine learning.
7. Graduates will be able to effectively communicate methods and results to both professional and general audiences in both oral and written form.

MS AI + Foundations

Students who do not have a four-year degree in computer science must complete an additional seven credits of coursework.

For questions about admissions, applicants currently in the United States should contact graduate@slu.edu and applicants elsewhere should contact globalgrad@slu.edu.   

For other questions about the program or curriculum, contact the computer science department at cs@slu.edu.