Master of Science in Artificial Intelligence

About

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,Natural language processing, Bioinformatics, Data science, Health outcomes, Image processing. 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. 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. Graduates will be able to select the most appropriate choice among artificial intelligence methods for solving a given problem.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. Graduates will be able to apply techniques from artificial intelligence to solve complex problems in an application domain. Graduates will be able to design and implement a software solution that meets a given set of computing requirements.  

Career Path 

Graduate career path includes Machine Learning Engineer, Deep Learning Specialist,Robotics AI Engineer, Computer Vision Engineer, Natural Language Processing (NLP) Engineer, Autonomous Systems Engineer, AI Research Scientist, AI Software Architect, AI Product Manager, AI Ethics Specialist, AI Policy Analyst, AI Data Scientist, AI Systems Analyst, AI Solutions Consultant, AI Cloud Engineer, AI Security Specialist, AI Algorithm Developer, AI Hardware Engineer (Neuromorphic/Edge AI), AI for Healthcare Specialist, AI for Finance Specialist, AI for Education Specialist, AI for Climate & Sustainability Specialist, AI in Defense & Security Specialist, AI in Smart Cities Specialist, AI in Transportation & Mobility Specialist, Gaming & Entertainment Specialist (AI).