Bachelor of Science in Computer Engineering and Master of Science in Artificial Intelligence

University of North Texas

Accelerate your education with UNT and dive into deep learning, machine learning, data science and feature engineering. The Bachelor of Science with a major in computer engineering provides a high-quality education by balancing the theoretical and experimental aspects of hardware and software issues. A BS with a major in computer engineering provides excellent job prospects in the engineering and technology sectors. Considering a career in the exciting field of artificial intelligence UNT Engineering’s graduate track program will help you transition into graduate coursework while working on your undergraduate degree in Computer Engineering. Our Artificial Intelligence program offers the only standalone Master of Science in Artificial Intelligence in the state of Texas and is one of few nationwide. UNT’s degree is interdisciplinary, allowing students to leverage their existing skillset and experience by combining it with AI knowledge. Graduate students in our program have the opportunity to specialize in machine learning, biomedical engineering, or autonomous systems.The Department of Computer Science and Engineering provides high quality educational programs by maintaining a balance between theoretical and experimental aspects of computer science, as well as a balance between software and hardware issues, and by providing curricula that serve the citizens and industrial organizations of Texas in general, and those in North Texas in particular.The graduate track program allows students to take graduate coursework while earning their Bachelor's so they can save time and money on their education, and transition into their graduate studies so they can achieve their career goals sooner.The AI program is designed to meet the needs of our students and industry students will graduate with marketable skills in programming, data analysis, problem solving, and communication. Dive into deep learning, machine learning, big data and data science, and feature engineering.