Bachelor of Science in Artificial Intelligence Engineering

Artificial intelligence (AI) is transforming the way we live, work, and innovate—and the demand for skilled AI professionals has never been higher. The global AI market is projected to grow more than 36 percent annually through 2030 alone, creating millions of new jobs across industries like health care, finance, engineering, and public policy.

The bachelor of science in artificial intelligence engineering at Penn State prepares you to lead in this fast-growing field. You'll gain hands-on experience designing and developing AI systems while building the technical, interdisciplinary, and ethical skills employers need. The degree integrates computer science, engineering, and ethics to prepare you for careers in a wide breadth of industries. A strong focus on ethical AI development ensures you learn to create solutions that are socially responsible, sustainable, and impactful—benefitting industry and society. 

With a strong focus on responsible innovation, this program equips you to create AI solutions that drive progress, improve lives, and shape the future. 

Courses

Prescribed Courses

• A-I 100: Artificial Intelligence: Automated Thinking to Augment Human Intellect
• A-I 341W: Responsible Artificial Intelligence
• A-I 375: Knowledge Representation and Inference
• A-I 410: AI Systems and Tools
• AIE 489W: Artificial Intelligence Engineering Project Design

Require a grade of C or better

• A-I 305: Algorithmic Foundations for Artificial Intelligence
• A-I 370: Problem Formulation and Automated Problem Solving
• AIE 355: Optimization for Machine Learning
• CMPSC 360: Discrete Mathematics for Computer Science
• EE 456: Introduction to Neural Networks
• ENGL 202C: Effective Writing: Technical Writing
• MATH 140: Calculus with Analytic Geometry I
• MATH 141: Calculus with Analytic Geometry II
• MATH 225: Mathematical Foundations for Machine Learning
• PHYS 211: General Physics: Mechanics
• PHYS 212: General Physics: Electricity and Magnetism 
• STAT 401: Experimental Methods

Additional Courses

Select 3 credits from the following, and require a grade of C or better:

• CAS 100A: Effective Speech
• CAS 100B: Effective Speech
• CMPSC 131: Programming and Compuation I: Fundamentals OR CMPSC 121 & DS 120: Introduction to Programming Techniques and Scripting for Data Science
• CMPSC 132: Programming and Computation II: Data Structures OR CMPSC 122: Intermediate Programming
• CMPSC 448: Machine Learning and Algorithmic AI OR CMPSC 445: Applied Machine Learning in Data Science

Select 3 credits from the following:

• ENGL 15: Rhetoric and Composition
• ENGL 30H: Honors Rhetoric and Composition
• ENGL 137H: Rhetoric and Civic Life I

Supporting Courses and Related Areas

• 27 credits from the approved technical elective course list, with at least 15 credits at the 400-level
• 3 credits from the approved list of non-technical electives
• 1 credit of First-Year Seminar