Computer Science, B.S. at Penn State
Build the future and code the solutions to tomorrow's biggest challenges with a degree in Computer Science.
Computer science is the blueprint for technological evolution. It integrates logic, software architecture, and intelligent systems—from developing next-generation mobile applications to engineering complex algorithms—to solve real-world problems, optimize human potential, and redefine how we interact with the world.
At Penn State Beaver, you will go far beyond traditional theory to master the cutting-edge skills modern employers demand. Through advanced projects, you will learn to harness artificial intelligence and machine learning to tackle critical global issues. Whether you are building apps that track the spread of diseases, designing software that enhances medical imaging for faster patient diagnoses, or optimizing the architecture behind massive multiplayer gaming experiences, you will apply your skills to high-impact fields like healthcare, agriculture, and entertainment.
In addition to learning from expert, forward-thinking faculty, you will train to become an industry innovator. Our program doesn't just teach you how to use today's technology—it equips you with the adaptability and predictive insight needed to engineer the technology of tomorrow.
Accreditation
The Computer Science program is accredited by the Computing Accreditation Commission of ABET under the General Criteria and the Computer Science Program Criteria.
What You’ll Learn
- Cutting edge use of artificial intelligence
- How to use AI in an ethical way
- How to adapt to changing technology
- Software design
- Coding and how to debug (fix) broken code
- How to optimize large computer power for programming
- Problem-solving skills
Internships & Careers
Penn State Beaver students have completed internships or gained employment at many companies including:
- FedEx
- Fresenius Kabi
- Peoples Gas
- PNC Bank
- Sheetz
- University of Pittsburgh Medical Center
Career Paths
- Artificial intelligence research
- Data analytics
- Cloud engineering
- UX (User Experience) and UI (User Interface) design
- Product design
