Bachelor of Science in Artificial Intelligence

Prepare for careers in bridge computing, data and human-centered problem-solving with the Bachelor of Science in Artificial Intelligence (AI) in the College of Science and Technology at Temple University. This 123-credit undergraduate degree program is grounded in computer science with specialized coursework in machine learning, artificial intelligence, cloud infrastructure, databases and human-Al interaction so students are equipped to design, evaluate and deploy intelligent systems that are ethical, interpretable and impactful. 

Why study artificial intelligence in the College of Science and Technology? 

• Career preparation: Jobs in Al and machine learning are rapidly growing in the technology sector, and employers report a shortage of college graduates with practical, applied Al skills combined with knowledge of human-centered design, ethical reasoning and data literacy. The demand for Al professionals has expanded across industry, government and research sectors. Through the curriculum, students will graduate ready to meet workforce needs with the skills to apply methods to real-world challenges such as healthcare, education, sustainability and creative industries. 
• Faculty expertise: You’ll be learning from computer information science faculty in the College of Science and Technology who are experts in the field and who have been leading Al-focused courses at Temple for many years. 
• Location in Philadelphia: Temple’s Main Campus in Philadelphia and proximity to the greater Northeast corridor means you’ll be studying in locations that are quickly emerging as national centers for applied Al innovation. Major employers such as Comcast, Vanguard, Lockheed Martin, SAP and the region's leading healthcare and pharmaceutical organizations, including Temple Health, The Children’s Hospital of Philadelphia, Merck, and Johnson & Johnson, are expanding Al-related hiring in fields such as drug discovery, healthcare analytics, cybersecurity, finance and intelligent automation. The major’s curriculum aligns with workforce needs by preparing graduates who can design, evaluate and deploy responsible, human-centered Al solutions. 

Artificial Intelligence BS Learning Outcomes 

Students in the Artificial Intelligence Major will graduate with the following skills.  

• Foundational knowledge in computing: You will demonstrate mastery of core computer science concepts, including programming, algorithms and data structures, as the foundation for Al applications.

• Artificial intelligence and machine learning competence: You will design, implement and evaluate Al and machine-learning models, including supervised, unsupervised and reinforcement learning approaches, for solving real-world problems. Students will understand the mathematical underpinnings of machine-learning concepts.

• Data management: You will apply principles of data collection, processing, analysis and visualization, including working with structured and unstructured data, to support intelligent system development.

• Human-centered design: You will analyze, design and evaluate software systems with a focus on human-centered design and user experience.

• Collaboration and communication: You will communicate technical concepts effectively to diverse audiences and collaborate in team-based, interdisciplinary projects. 

Classes & Curriculum 

Students complete 123 credits in the major. The curriculum comprises computer information science and mathematics required and elective courses.  

Computer science and rtificial intelligence courses you may take include the following.  

Required Courses 

• Program Design and Abstraction
• Mathematical Concepts in Computing I and II
• Introduction to Artificial Intelligence
• Data-Intensive and Cloud Computing
• Knowledge Discovery and Data Mining 
• Analysis and Modeling of Social and Information Networks 

Electives 

• Automata, Computability and Languages
• Computer Architecture
• Web Application Programming
• Development of Multi-tier Client/Server Systems
• Mathematics courses include Calculus I, II and III

For more information about the curriculum, contact Dominic Letarte, associate professor in the Department of Computer and Information Sciences, at dominic.letaret@temple.edu.