7 Bachelor's degrees in Machine Learning in United States

Dakota State University offers a B.Sc. in Computer Science - AI and Machine Learning, designed to provide students with a robust foundation in programming and AI technologies. This degree can be pursued over four years, with options for both on-campus and online attendance, ensuring flexibility for all learners.

The Cybersecurity B.Sc. at Northern Arizona University is a comprehensive full-time programme delivered at the Flagstaff campus and online. Over four years, students master secure software development and hardware protection. This degree combines technical computing skills with criminal justice to prepare expert professionals.

EdX is an online learning platform trusted by over 12 million users offering the Elements of Data Science MicroBachelor Programme in collaboration with Rice University - RICEx. Across industries, data science is becoming an ever-increasing necessity for organizations to be successful.

Grand Valley State University combined degree programs offer students the opportunity to complete both an undergraduate and graduate degree, meeting their unique personal, academic, and career goals. The combined Computer Engineering and Applied Computer Science degree is offered at Grand Valley State University.

This Machine Learning and Autonomous Systems BSc programme from Kansas State University is designed to provide students an advanced, in-depth and hands-on learning experience focused on the design, development and deployment of machine learning and artificial intelligence frameworks within autonomous systems.

The Bachelor of Science in Computer Science from the Florida Atlantic University provides students with a quality online education. Computer science incorporates concepts from mathematics, engineering and psychology. 

The Bachelor of Applied Science (B.A.S.) in Learning Technologies at University of North Texas is designed to meet the increasing workforce demand to support schools, businesses, and industries, with a particular emphasis on Science, Technology, Engineering, and Mathematics (STEM).