The MS in Artificial Intelligence and Machine Learning program offers two concentrations: Applied and Computational.
The Applied concentration is designed for students who do not have a background in computer science, software engineering, or a related STEM degree. The concentration is for students who are interested in determining the proper AI and machine learning algorithm or framework for a particular problem, evaluating performance, and maintain AI and machine learning codebases. Students without a computer science background are admitted into the Applied Concentration.
The Computational concentration is designed for students with a technical background in computer science, software engineering, or a related STEM degree, who are interested in developing their own AI and machine learning algorithms and/or augmenting existing ones. The focus is on the mathematical foundations of state-of-the-art AI and machine learning algorithms. Students with a computer science background are admitted into the Computational concentration.
Without a background in computer science, you would be eligible to be admitted into the Applied concentration of the MS in AI&ML. This concentration will give you fundamental programming skills, as well as diving deep into using AI and Machine Learning for data or problems.
The admissions committee will make the final determination on your concentration.