University of Nebraska, Omaha

What you'll study

Coursework develops a mix of mathematical, computational and applied competencies. You will study algorithmic thinking and data structures, probability and statistics for inference, programming for data processing, and machine learning fundamentals. Applied topics typically include supervised and unsupervised learning, neural networks, natural language processing concepts, and methods for representing and reasoning about knowledge. Practical labs, projects or capstone experiences translate theory into working systems and emphasize data handling, model evaluation and deployment considerations.

Entry requirements

Applicants normally need a completed secondary-school credential or equivalent and meet the university's admission standards. Preparatory background in mathematics (algebra, precalculus or calculus) and some experience with programming or computational thinking is strongly recommended. Transfer students should provide transcripts from prior postsecondary study; placement or preparatory courses may be required for students without sufficient math or programming preparation.

Career prospects

Graduates enter roles that apply AI techniques to real-world problems, such as machine learning engineer, data scientist, AI software developer, or specialist roles in natural language processing, computer vision and analytics. Career paths exist across technology companies, healthcare, finance, manufacturing and the public sector, and the degree also serves as preparation for graduate study in computer science, AI or related disciplines.

Scholarships & funding angle

Students should explore university-wide merit scholarships, departmental awards for computing or STEM majors, and need-based financial aid administered by the institution. External funding sources include industry scholarships, research assistantships during undergraduate research, and national or regional STEM scholarship programmes. Applicants are advised to combine scholarship searches with campus financial-aid counselling to understand eligibility and application timing.