Applied AI, Master of Science in Applied Artificial Intelligence

The Master of Science in Applied Artificial Intelligence is a 30-credit graduate program designed to equip students with both the theoretical understanding and hands-on skills needed to design, implement, and evaluate AI systems across diverse industries. The curriculum spans core areas such as machine learning, deep learning, natural language processing, computer vision, AI ethics and governance, and domain-specific applications in marketing and finance. Students gain practical experience with industry-standard tools like Python, scikit-learn, TensorFlow, PyTorch, and more, while also exploring ethical issues and strategic implications of AI. A self-paced prerequisite course ensures incoming students (especially those from non-technical backgrounds) are fully prepared. The program culminates in a capstone project where students solve real-world problems using AI, demonstrating their readiness for leadership roles in an AI-driven economy.