2025–2026 Bulletin Addendum Graduate Certificate in Applied AI & Machine Learning

(On campus or online)

The Graduate Certificate in Applied AI & Machine Learning provides intensive exploration of the theory and practice of neural nets, generative AI, automated reasoning, AI security, intelligent image processing, and reinforcement learning. AI ethics, as well as supervised and unsupervised learning are studied. The program prepares students to design and implement intelligent applications in engineering, business, and industry.

Learning Outcomes

• Advanced Machine Learning and Deep Learning: Students will be able to solve complex problems such as computer vision, natural language processing, and speech recognition using machine learning algorithms, including supervised and unsupervised learning models, neural network architectures, and deep learning techniques.
• Artificial Intelligence Development: Students will be able to design and implement agents and algorithms for self-learning systems, leveraging AI models for data representation and prediction, implementing evolutionary and genetic algorithms for optimization, and developing software systems that incorporate AI models to enhance capabilities.
• Ethical AI and Communication: Students will be able to evaluate the ethical implications of AI systems, ensuring model fairness, accountability, and transparency, and effectively communicating technical AI concepts to non-technical stakeholders.

Prerequisites

Applicants to the program are required to have a bachelor’s degree in any field of study from a regionally accredited institution. Upon review of your application, the department will determine if the completion of prerequisite coursework in areas such as programming and mathematics is required based on your academic and professional background.

Curriculum (four courses/16 units)

• MET CS 664 Artificial Intelligence
• MET CS 677 Data Science with Python
• MET CS 767 Advanced Machine Learning and Neural Networks

And one course selected from the following:

• MET CS 688 Web Mining and Graph Analytics
• MET CS 699 Data Mining
• MET CS 766 Deep Reinforcement Learning
• MET CS 777 Big Data Analytics
• MET CS 787 AI and Cybersecurity
• MET CS 788 Generative AI
• MET CS 790 Computer Vision in AI