Artificial Intelligence - Albright College Artificial Intelligence Design intelligent systems. Shape an AI‑powered world. Albright’s AI major prepares students to lead the rapidly expanding world of machine learning, automation, and intelligent decision-making. Students gain strong computational and mathematical foundations while exploring cutting-edge AI applications. About the Program The curriculum blends computer science, statistics, and advanced AI concepts, supported by faculty who engage the community through AI outreach and education. Hands-On Learning Students engage in hands-on machine learning projects, design AI systems in the capstone sequence, and gain industry experience through internships. Program Goals Course Requirements Opportunities Faculty Algorithmic Problem Solving: Solve problems within computer science and in other domains using computational tools. Ethical Collaboration & Technical Communication: Work on integrated teams to deliver software grounded in ethical conduct and an understanding of computing’s societal impacts. Be able to explain technical concepts to a variety of stakeholders. Systems Thinking: Understand how the multiple layers of the hardware and software stack work in concert to support modern applications. Analytical and Mathematical Reasoning: Apply mathematical and logical reasoning, including discrete mathematics and statistics, to analyze computational problems. Data Engineering: Collect, clean, and manage large data sets, and design pipelines that support training and deployment of AI systems. Artificial Intelligence Major Curriculum Major Requirements CSC 141 Foundations of Computer Science I CSC 142 Foundations of Computer Science II CSC 210 Data Structures & Algorithms CSC 280 Computer Ethics CSC 300+ Advanced Computer Science Elective CSC 382 Computer Science Internship CSC 390 Data Science CSC 480 Introduction to Artificial Intelligence CSC 481 Machine Learning CSC 482 Deep Learning CSC 483 Advanced Topics in AI CSC 493 Artificial Intelligence Capstone MAT 110 Elementary Statistics MAT 131 Calculus and Analytical Geometry I MAT 250 Foundation of Mathematics MAT 320 Linear Algebra Internships and Career Support Students can connect with the Career Development Center to find internships where they can apply learned skills from their Artificial Intelligence degree. ACRE Undergraduate Research Students in any major can engage in interdisciplinary undergraduate research through the Albright Creative Research Experience (ACRE) , partnering with faculty mentors to pursue independent research or creative projects and present their work beyond the classroom. Don Baldridge , M.F.A. Assistant Professor of Computer Science Suzanne Fellows Adjunct Faculty Dave Kaul , M.F.A. Assistant Professor of Computer Science David Kopec , M.S., M.B.A. Chair / Professor / Acad Program Cood, Info Systems, ADP Kate Perkins Adjunct Faculty Bethany Riley Adjunct Faculty Ernest Tidball Adjunct Faculty Curriculum Highlights Data Structures & Algorithms Data Science and Linear Algebra Machine Learning & Deep Learning AI Capstone and required internship