B.S., Artificial Intelligence Methods and Applications
Design. Implement. Evaluate. Solve.
Artificial intelligence is strengthening our abilities to automate tasks, extend human intelliect, and unlock new innovations across every field. But, it's also challenging our understanding of what it means to be human. The B.S., Artificial Intelligence Methods and Applications program positions you to lead this revolution and advance organizations in diverse AI-driven industries. Through experimentation and practical projects, and with an emphasis on social responsibility and the ethical implications of AI, you'll identify problems that can be addressed by AI technologies, learn the AI methodologies and skills needed to develop solutions, and master the ability to communicate solutions and risks to a variety of stakeholders.
Is Artificial Intelligence Methods and Applications Right for Me?
Artificial Intelligence Methods and Applications combines technology with math, programming, computer science, psychology, law and policy, and ethics to address complex real-world problems. This program could be a great fit if you want to
- use AI to improve decision-making and expedite discovery in business and science
- develop algorithms, analyze data, and create AI models for real-world applications
- advance the transformative power of AI in fields like software development, finance, health care, marketing, customer service, and transportation
What You'll Study
Gain foundational knowledge and state-of-the-art skills needed to design and deploy AI-based solutions by exploring topics like these.
- Machine Learning for Data Analytics
- Responsible Artificial Intelligence
- Knowledge Representation and Inference
- Automated Problem Solving
- Programming Models for Big Data
- Data Structures and Algorithms
- Human-Centered AI
- Automated Thinking to Augment Human Intellect
Supporting Courses
You'll gain a deeper understanding by taking a series of technical supporting courses in fields like computer science, data sciences, electrical engineering or math, and learn to apply you're knowledge to a specific application domain like
- Agricultural Sciences
- Business Fundamentals
- Enterprise Technology Integration
- National Security
- Philosophy
- Psychology
The Power of Internships
Most College of IST students complete at least one internship before graduating. In fact, more than 50% complete multiple internships and 84% receive a job offer from an internship provider. With hundreds of organizations recruiting and a dedicated Career Solutions team to support you, you'll have the tools and opportunities to launch your career.
View Past Internships
“This major empowers students to build intelligent solutions that enhance human capabilities while addressing real-world challenges. With a strong foundation in machine learning, generative AI and ethical responsibility, students gain the skills to innovate and shape the future of AI-driven industries. It’s the perfect path for aspiring AI pioneers."
Sharon Huang , David Reese Professor of IST
Discover Your Career
Technology is ever-changing, and so are the careers that create, use, and study it. As you work toward your degree, you’ll identify and refine your career interests through courses, student organizations, and experiential opportunities. With guidance and resources from our dedicated Career Solutions team—from your first job to the executive suite—you'll gain the technical expertise, business savvy, and communication skills to lead in business, health care, defense, technology, and countless other industries.
Technology Advisor
Provides expert advice and detailed information in a specialized field, guiding organizations to ensure safe, effective practices and informed decision-making in complex or high-risk scenarios.
IT Analyst
Analyzes and transmits specialized information, including acquiring, analyzing, indexing, and preparing abstracts. Manages technical information services, technology assessment, research support, and engineering services.
Business Intelligence Analyst
Designs and implements systems for data-driven decision-making, building dashboards, reports, and visualizations using business intelligence tools to present integrated business insights.
Data Scientist
Collaborates with data providers and users to define questions and use machine learning and data mining to develop predictive models, uncover insights, and forecast outcomes.
AI Engineer
Builds AI models from the ground up and explains results to product managers and stakeholders.
Natural Language Processing Specialist
Develops AI models for language-related applications like speech recognition, chatbots, and text analytics.
Data Intelligence Engineer
Designs, builds, and manages systems that extract insights from large datasets, combining data engineering with analytics, machine learning, and AI to enable data-driven decision-making.
Machine Learning Engineer
Focuses on research, development, and design of automated AI systems for data classification, pattern recognition, and predictions, developing machine learning algorithms to create predictive models.
AI Software Developer
Develops AI software by designing algorithms, writing code, and collaborating with teams to build intelligent systems that solve complex problems or automate tasks.
Nittany AI Alliance
Through undergraduate research, student organizations like Nittany Data Labs, and experiential learning opportunities offered through the Nittany AI Alliance, Data Sciences students can extend learning far beyond the classroom. Nittany AI Alliance connects students with industry partners to address real-world problems with AI-based solutions. Through challenges, internships, and events, you can put your data sciences knowledge to work.
Connect with Nittany AI