COURSE CURRICULUM

The Master’s in Machine Learning and Artificial Intelligence at the University of North Texas is designed to prepare students for high-demand careers in advanced computing, data-driven systems, and intelligent technologies. The program is supported by the College of Engineering, which provides access to state-of-the-art instructional facilities and research laboratories equipped with cutting-edge tools and technologies used in modern AI development. Students work closely with faculty and research teams while gaining hands-on experience in areas such as autonomous systems, biomedical engineering, machine learning, and natural language processing, all of which are central to current and future AI applications.The curriculum is structured to build both foundational and advanced knowledge in artificial intelligence. Core courses focus on key technical areas including deep learning, machine learning, big data, data science, and feature engineering, ensuring that students develop strong analytical and computational skills. Bridge courses such as Software Development for Artificial Intelligence and Fundamentals of Artificial Intelligence provide essential programming and conceptual preparation for students entering from diverse academic backgrounds. This combination allows students to progress into more advanced topics with confidence and technical readiness.Students also have opportunities to participate in teaching and research assistantships, which provide financial support through monthly stipends and may include eligibility for in-state tuition rates. These roles also offer valuable professional experience in academic and applied research environments. Coursework options include subjects such as Introduction to Big Data and Data Science, Systems Modeling and Simulation, AI for Wearables and Healthcare, Scientific Data Visualization, Data Mining, and Machine Learning, each emphasizing practical application and problem-solving in real-world contexts.Graduates of the program are prepared for a wide range of careers in artificial intelligence and related fields, with common roles including data scientist, software engineer, and machine learning engineer, as well as opportunities across healthcare, engineering, business analytics, and emerging technology sectors.