Degree Programs
At the University of Arizona, innovation meets opportunity. Our academic programs in artificial intelligence, machine learning, data science, and robotics prepare students and professionals to shape the future of intelligent technology. From undergraduate degrees to graduate and certificate programs—available in person and online—you’ll gain the skills, experience, and connections to thrive in one of today’s fastest-growing fields. You’ll build a strong foundation, deepen your expertise, collaborate with world-class faculty, and apply your knowledge through hands-on, real-world projects that make an impact.
Undergraduate Degrees
College: College of Science – Department of Computer Science
Format: In-person (Main Campus)
This program prepares students to design and develop intelligent systems that analyze images, text, speech, and structured data to support automated decision-making. Built on a strong foundation in computer science, the curriculum introduces key areas of artificial intelligence, including machine learning, deep learning, natural language processing, and computer vision. Students gain practical experience developing AI solutions and are well-positioned for graduate study or careers in AI development, research, or data science.
Key Courses:
- Introduction to AI
- Principles of Machine Learning
- Ethics in AI
- Computer Vision
- Natural Language Processing
College: College of Information Science
Format: Online and In-person (Sierra Vista campus)
This Bachelor of Applied Science offers a hands-on, career-focused AI concentration for transfer and adult learners. The emphasis on Applied Artificial Intelligence equips students with practical skills in algorithm development, machine learning, and data analytics. Graduates are prepared to solve real-world challenges using AI and to pursue roles in software development, natural language processing, data science, and more.
Key Courses:
- Artificial Intelligence
- Data Analysis & Visualization
- Analysis of Discrete Structures
College: College of Science – Interdisciplinary Program (Dept. of Mathematics)
Format: In-person (Main Campus)
This interdisciplinary degree provides strong training in statistics, mathematics, and modern data science techniques—all foundational tools for AI and machine learning. Students learn how to extract meaning from data using statistical modeling, machine learning algorithms, and computational analysis. The program supports both B.S. and B.A. pathways and offers flexibility for students to pursue electives in AI-related areas.
Key Courses:
- Statistical Inference
- Probability Theory
- Machine Learning
- Data Mining
- Python and R Programming
College: College of Science – Department of Computer Science
Format: In-person (Main Campus) and Online (Arizona Online)
This flexible computer science degree provides a strong foundation in programming, algorithms, and systems while allowing students to specialize in artificial intelligence through upper-level electives and research. With opportunities to explore machine learning, computer vision, robotics, and natural language processing, students can tailor the program to their interests and career goals. The program also supports AI-focused senior projects and undergraduate research.
Key Courses:
- Machine Learning
- Deep Learning
- Robotics
- Natural Language Processing
- Computer Vision
College: College of Engineering – Department of Electrical & Computer Engineering
Format: In-person (Main Campus)
This accredited engineering program blends software and hardware systems with AI and robotics. Students gain expertise in areas such as control theory, signal processing, intelligent systems, and autonomous robotics. With technical electives that include embedded AI, machine learning, and intelligent control systems, students graduate ready to design smart, AI-enabled technologies—from autonomous vehicles to advanced IoT systems.
Key Courses:
- AI for Engineering
- Autonomous Robotics
- Neural Networks
- Intelligent Control Systems
- Signal Processing
Graduate Degrees
College: College of Social & Behavioral Sciences – Department of Linguistics
Format: In-person or Online
This interdisciplinary master’s program blends linguistics with artificial intelligence to train students in natural language processing (NLP) and speech technologies. Coursework focuses on real-world applications such as machine translation, information extraction, and conversational AI. Students build a strong foundation in both linguistic theory and AI-driven language systems, preparing for careers in NLP, data science, and language technology.
Key Courses:
- Statistical Natural Language Processing
- Speech Recognition & Text-to-Speech
- Machine Translation
- Neural Network Language Models
College: College of Engineering – Aerospace & Mechanical Engineering Department
Format: In-person (Main Campus)
Designed for professionals, this project-focused master’s program emphasizes AI-powered robotics, automation, and intelligent systems. Students gain hands-on experience with autonomous vehicles, embedded AI, machine vision, and robotic control systems. This degree is ideal for engineers seeking careers in robotics, automation design, and intelligent system development.
Key Courses:
- Autonomous Systems and Robotics
- Machine Vision
- Intelligent Sensors and Actuators
- AI in Engineering Systems
- Robotic Control
College: College of Information Science
Format: In-person or Online
This STEM-designated program combines theory and practice in data science, machine learning, and big data analytics. Students learn to transform raw data into actionable insights through a curriculum that emphasizes statistical modeling, data visualization, and predictive analysis. With stackable certificate options and flexible delivery formats, the program prepares graduates for careers in data-driven industries, including AI.
Key Courses:
- Machine Learning Algorithms
- Big Data Analytics
- Data Mining
- Deep Learning
- Natural Language Processing
College: Graduate Interdisciplinary Programs
Format: In-person (Main Campus)
This research-focused degree provides rigorous training in statistical theory, modeling, and computation—key components of modern AI systems. Students engage in hands-on data analysis while developing deep expertise in topics like machine learning, regression modeling, and statistical computing. Graduates are well-prepared for advanced roles in AI research or doctoral study.
Key Courses:
- Mathematical Statistics
- Regression and Prediction Modeling
- Statistical Computing
- Machine Learning Methods
College: Eller College of Management
Format: Online
This interdisciplinary graduate program equips professionals with the technical and strategic skills needed to lead AI transformation across modern organizations. Blending AI, data science, and business intelligence, the program prepares students to harness machine learning, automation, and analytics for innovation and competitive advantage. Ideal for professionals in management, marketing, finance, and technology roles, this degree emphasizes real-world applications of AI in business contexts.
Key Topics:
- Machine Learning for Business Decision-Making
- Business Analytics and Big Data Tools
- Natural Language Processing and Generative AI
- AI Strategy and Governance
- AI Ethics and Responsible Innovation
College: Graduate Interdisciplinary Programs
Format: In-person (Main Campus)
This doctoral program trains students in advanced statistical methodologies and machine learning techniques for data-intensive research. With opportunities to specialize in areas like statistical informatics and AI algorithm development, students gain the skills to conduct original research across diverse domains. Graduates pursue careers in academia, industry, or national labs as AI and data science leaders.
Key Topics:
- High-Dimensional Data Analysis
- Theoretical Machine Learning
- Computational Statistics
- AI-Based Modeling Techniques
College: College of Engineering - Department of Electrical and Computer Engineering
Format: Online
This fully online master’s program prepares engineers and technical professionals to lead innovation in areas such as artificial intelligence, autonomous systems, embedded computing, and signal processing. Designed for flexibility and career advancement, the program blends core engineering fundamentals with emerging technologies that power smart devices, intelligent control systems, and AI-enabled infrastructure. Ideal for working professionals in high-tech, defense, healthcare, and automation sectors.
Key Topics:
- Machine Learning and AI for Engineering Systems
- Embedded Systems and Internet of Things (IoT)
- Digital Signal and Image Processing
- Autonomous Robotics and Control Systems
- Cyber-Physical Systems and Smart Technologies
Certificate Programs
College: College of Social & Behavioral Sciences – Department of Linguistics
Format: Online, In-person, or Hybrid
This 9-unit certificate provides focused training in computational techniques for processing human language. Ideal for students with a background in linguistics or computing, the program equips learners to design NLP systems such as chatbots, machine translation tools, and text analytics engines. Courses emphasize both theoretical understanding and practical implementation using AI models and Python.
Key Courses:
- Statistical Natural Language Processing (LING 539)
- Advanced Statistical NLP (LING 582)
- Elective (e.g., Machine Learning or Computational Linguistics)
Skills Gained:
- NLP programming (Python)
- Text mining and semantic parsing
- Use of statistical and neural language models
College: Graduate College – Graduate Interdisciplinary Programs
Format: Online or In-person
This 12-unit certificate builds a solid foundation in data analysis, statistical modeling, and machine learning—skills that underpin modern AI systems. Tailored for current graduate students and working professionals, the curriculum emphasizes the theory and application of predictive modeling and data-driven decision-making. Courses may be customized based on your background and career focus.
Key Courses:
- Statistical Inference
- Regression Modeling
- Introduction to Machine Learning
- Data Mining or Statistical Computing
Skills Gained:
- Programming in R or Python
- Predictive model development
- Statistical reasoning for AI and data science
College: College of Information Science
Format: Online or In-person
This 15-unit certificate is ideal for students or professionals seeking core skills in data science. Students learn to manage, clean, analyze, and visualize data using tools commonly applied in AI workflows. Designed for flexibility, the program can be completed fully online and can be taken on its own or as part of a graduate degree program.
Key Courses:
- INFO 552 – Foundations of Data Science
- INFO 556 – Data Mining
- INFO 558 – Data Visualization
Skills Gained:
- Python and R programming
- Data wrangling and analysis
- Introductory machine learning concepts
College: College of Information Science
Format: In-person (Main Campus) with some online coursework
This 12-unit certificate allows undergraduates from any major to develop core skills in data science—an essential foundation for today’s data-driven world. Through interactive coursework and hands-on projects, students learn to collect, manage, and analyze data effectively. While not titled as an artificial intelligence (AI) certificate, the program builds the data literacy and technical competencies that support further study or careers in machine learning and AI-related fields.
Key Courses:
- Introduction to Data Science
- Data Visualization
- Database/Data Management
- One advanced data elective
Skills Gained:
- Programming in Python
- Visual storytelling with data
- Real-world data preparation and analysis
Continuing & Professional Education
Format: 100% Online (Self-paced, Non-credit)
This short, non-credit certificate program is designed for professionals seeking to gain practical, hands-on experience with AI prompting tools like ChatGPT and other generative AI platforms. Participants learn how to craft effective prompts to improve productivity, generate creative content, solve workplace problems, and automate tasks. The curriculum focuses on real-world applications across industries, making it ideal for professionals in marketing, education, writing, management, and more.
Key Topics:
- Foundations of Prompt Engineering
- Prompt Design for Creativity and Productivity
- AI Tools for Business and Education
- Ethical Use of Generative AI
Skills Gained:
- Prompt crafting strategies for AI chatbots and tools
- Real-world AI application workflows
- Understanding of generative AI use cases
Continuing & Professional Education
Format: 100% Online (Part-time, Cohort-based)
This intensive, part-time bootcamp trains learners in the practical skills needed to launch a career in machine learning and AI development. Designed in partnership with industry experts, the curriculum blends theory with hands-on experience in programming, model building, and deployment of AI applications. Students work on real-world projects using popular tools and frameworks such as Python, TensorFlow, and scikit-learn. No prior experience in machine learning is required.
Key Topics:
- Python Programming for AI
- Supervised & Unsupervised Learning
- Deep Learning & Neural Networks
- Model Deployment and MLOps
- AI Ethics and Responsible AI
Skills Gained:
- End-to-end machine learning workflow
- Building and evaluating AI models
- Deploying production-ready ML systems
- Portfolio of real-world AI projects
College: College of Social & Behavioral Sciences – School of Government & Public Policy
Format: Online
This interdisciplinary graduate certificate explores the complex intersection of emerging technologies and global human rights. Students examine how tools such as artificial intelligence, surveillance systems, and digital platforms impact privacy, equity, and justice around the world. Designed for professionals and graduate students in public policy, law, ethics, cybersecurity, and international affairs, the program provides critical insight into responsible tech development and policy.
Key Topics:
- AI and Algorithmic Bias
- Surveillance and Civil Liberties
- Human Rights Frameworks in the Digital Age
- Ethical Technology Development
- Global Policy and Governance
Skills Gained:
- Critical analysis of technology's role in human rights outcomes
- Understanding of ethical implications of AI and surveillance
- Policy literacy for tech governance
- Advocacy and communications strategies for equitable tech design
Online AI-Related Programs
College: College of Information Science
Format: 100% Online
This fully online Bachelor of Applied Science offers the same career-ready curriculum as its in-person counterpart, focusing on real-world AI applications. Designed for transfer and adult learners, the program teaches students to build intelligent systems, conduct data analysis, and apply machine learning in professional contexts. Flexible delivery allows students to earn their degree while balancing work and life responsibilities.
Key Topics:
- Algorithm Design
- Machine Learning
- AI for Business and Research
- Hands-on System Development
College: College of Social & Behavioral Sciences – School of Information
Format: 100% Online
The online Master of Science in Data Science delivers the same rigorous, STEM-designated curriculum as the on-campus program. Students gain expertise in machine learning, big data analytics, data visualization, and AI-related techniques. The program includes stackable graduate certificates that can be applied toward the full degree—providing a flexible pathway to a data science career.
Key Topics:
- Predictive Modeling
- Deep Learning
- Data Mining
- Applied Machine Learning
College: College of Social & Behavioral Sciences – Department of Linguistics
Format: 100% Online
This fully online track of the Human Language Technology program brings advanced NLP and computational linguistics training to students around the world. With a curriculum identical to the on-campus program, students explore AI-based speech and text processing technologies and complete virtual internships with industry partners. Ideal for learners seeking remote access to high-demand AI and language tech skills.
Key Topics:
- Machine Translation
- Conversational AI
- Neural Language Models
- Virtual NLP Internships
College: College of Social & Behavioral Sciences – Department of Linguistics
Format: 100% Online
This online NLP certificate offers focused training in language technologies powered by AI. Students learn to design, evaluate, and implement NLP tools such as text classifiers, chatbots, and voice assistants. Coursework mirrors the in-person program and is ideal for working professionals in linguistics, tech, or AI.
Key Skills:
- Python for NLP
- Statistical Language Processing
- Text Mining and Speech Analysis
College: College of Information Science
Format: 100% Online
Delivered via Arizona Online, this certificate provides foundational training in data manipulation, analysis, and visualization—core skills for any AI-related role. Students learn programming and statistical reasoning while exploring tools and libraries commonly used in data science and machine learning. A flexible, self-paced option ideal for professionals and graduate students alike.
Key Topics:
- Python/R Programming
- Basic Machine Learning
- Data Wrangling and Cleaning
- Data Visualization
College: UAGC (University of Arizona Global Campus)
Format: 100% Online
The UAGC Artificial Intelligence Emphasis introduces students to the core principles of AI and machine learning within a fully online undergraduate experience. This 12-credit emphasis can be added to various bachelor’s degrees (such as Information Systems or Technology Management), giving students broad, practical knowledge of AI technologies and their business applications.
Courses Include:
- AIS 200 – Principles of AI
- AIS 250 – Principles of Machine Learning
- AIS 300 – Principles of Data Analytics
- Python Programming for AI