Artificial Intelligence

Undergraduate | Bachelor of Arts
Undergraduate
Bachelor of Arts
Overview
Become an expert in AI and responsibly shape the future of technology with Xavier University's Bachelor of Arts (BA) in Artificial Intelligence.
As a student in the AI major at Xavier, you'll get more than just technical training in coding, machine learning and robotics. You'll also develop a strong ethical foundation, understanding the potential benefits and challenges of AI. This holistic approach will equip you to navigate the complex issues surrounding AI development and use, making you a responsible and informed AI professional.
Curriculum

Fall

  • CSCI 170: Computer Science I............ 3cr.
  • Historical Perspectives............ 3cr.
  • Second Language I............ 3cr.
  • ENGL 101/115: Composition/Rhetoric............ 3cr.
  • CORE 100: First Year Seminar............ 3cr.
  • CORE 101: GOA I............ 0cr.

Spring

  • CSCI 180: Computer Science II............ 3cr.
  • Creative Perspectives............ 3cr.
  • Second Language II............ 3cr.
  • PHIL 100: Ethics as Intro to Philosophy............ 3cr.
  • THEO 111: Theological Foundations............ 3cr.
  • CORE 102: GOA II

Fall

  • CSCI 220: Data Structures and Algorithms............ 3cr.
  • MATH 180: Integral Calculus............ 3cr.
  • CSCI 200: Socially Responsible Data Use............ 3cr.
  • ENG 205: Literature and Moral Imagination............ 3cr.
  • Second Language III............ 3cr.

Spring

  • CSCI 225: Data Engineering............ 3cr.
  • MATH 181: Differential Calculus............ 3cr.
  • MATH 156/256: Statistics............ 3cr.
  • PHIL 200: Philosophical Perspectives............ 3cr.
  • Theological Perspectives............ 3cr.

Fall

  • MATH 222 Applied Linear Algebra............ 3cr.
  • DSCI 350: Computational Machine Learning............ 3cr.
  • AI Elective I............ 3cr.
  • Natural Sciences Lecture and Lab............ 3cr.
  • General Elective............ 3cr.

Spring

  • CSCI 370: Artificial Intelligence............ 3cr.
  • AI Elective II............ 3cr.
  • Scientific Perspectives Lecture and Lab............ 3cr.
  • Social Science Elective ............ 3cr.
  • General Elective............ 3cr.

Fall

  • AI Elective III............ 3cr.
  • Humanities Elective............ 3cr.
  • General Elective............ 3cr.
  • General Elective............ 3cr.
  • General Elective............ 3cr.

Spring

  • CSCI 394: AI Capstone............ 3cr.
  • AI Elective IV............ 3cr.
  • General Elective............ 3cr.
  • General Elective............ 3cr.
  • General Elective............ 3cr.
  • CORE 499............ 0cr.
Outcomes
98% of Xavier students are working, volunteering or in graduate school within six months of graduating (Class of 2023).

Top Employers for Computer Science Graduates: Apple, American Express, AT&T and Great American Insurance Group

Clubs

Computer Science Club

From game nights to hackathons and coding classes, these technology enthusiasts love all things digital. Members meet to discuss the latest in computer science and connect with each other.

Xavier University Gaming Club

Members of this club meet weekly to hang out and play games together. The club holds tournaments, gaming sessions and charity livestreams.

Minorities in STEM Succeeding Together

Become part of a supportive community dedicated to empowering minority STEM majors. Discover a space where you can thrive, connect with peers and build confidence in your identity while pursuing excellence in STEM.

Sample Courses

Socially Responsible Data Use (CSCI 200)

Explore the legal and ethical responsibilities of using and interacting with data. Learn about privacy, big data and federal laws governing data privacy and information assurance. Study industry standards, compliance audits and apply ethical foundations to case studies.

Computational Machine Learning (CSCI 350)

Explore supervised and unsupervised learning techniques, emphasizing machine learning as principled optimization algorithms. Analyze models, including scalability, expressivity, evaluation and cross-validation.

Artificial Intelligence (CSCI 370)

Learn problem-solving methods in artificial intelligence. Study heuristics, evaluation functions, search strategies, and survey AI projects.

AI Capstone (CSCI 394)

Design, implement, document and present a significant artificial intelligence project.

98%
Student Success Rate
11:1
Student to Faculty Ratio

Program Features

Develop essential research skills

Dive into AI topics that interest you most with our undergraduate research program. Gain hands-on experience, develop research skills and contribute to the field of AI.

Mentorships that shape your future

The Xavier Mentor Program connects you with working professionals in the fields of AI and technology, ensuring your success beyond a degree.

Education for the greater good

A Jesuit education offers a strong ethical foundation for exploring AI, equipping you with the skills to develop AI systems that benefit society in a responsible and ethical way.

Located in a city of opportunity

From Kroger to Procter & Gamble and Fifth Third Bancorp, you'll have prime access to internships, mentorships and career opportunities in the tech field.

Student Project
AI Development

Xavier students built a first-of-its-kind AI model focused on helping college students and professors use generative AI in an ethical and academically honest way.

Faculty Spotlight
Deep Ramanayke

Computer Science Professor Deep Ramanayke teaches his students to use computing for the greater good. Hear what he loves most about Xavier and living in Cincinnati.

FAQ

Prepare for a successful career in the field of AI by earning your BA in Artificial Intelligence at Xavier. Discover more.

Studying AI prepares you for a variety of careers, including:

  • Machine Learning Engineer: Develop algorithms and models that allow computers to learn from data and make predictions.
  • AI Researcher: Conduct research to advance the field of artificial intelligence, exploring new techniques and applications.
  • Computer Vision Engineer: Create algorithms and systems that enable computers to understand and interpret visual information.
  • Natural Language Processing Engineer: Develop systems that allow computers to understand, interpret, and generate human language.
  • Robotics Engineer: Design, build and maintain robots for various applications, including manufacturing, healthcare, and exploration.
  • Software Engineer: Develop software applications and systems, often using AI techniques to enhance functionality.
  • Data Scientist: Extract insights and patterns from large datasets using statistical and machine learning methods.
  • User Experience (UX) Designer: Create user-friendly interfaces and experiences for AI-powered products and services.

At Xavier, AI majors gain a wide range of skills, including:

  • Programming: Proficiency in languages like Python, R or Java for developing AI algorithms and models.
  • Machine Learning: Understanding of machine learning algorithms, data preprocessing, model training and evaluation.
  • Natural Language Processing (NLP): Skills in processing and understanding human language, including text and speech.
  • Data analysis: Skills in collecting, cleaning and analyzing data to extract meaningful insights.
  • Communication: Ability to effectively communicate technical concepts to both technical and non-technical audiences.
  • Collaboration: Capacity to work effectively in teams and collaborate with others on AI projects.

The difference between Xavier’s Artificial Intelligence and computer science programs lies in their specific focus and emphasis. The AI major at Xavier University offers a more specialized focus on artificial intelligence, while the computer science major provides a broader foundation in computer science principles. 

Artificial Intelligence (AI) Major:

  • Focus: The AI major delves deeper into the principles and applications of intelligent systems. It emphasizes the development of algorithms and models that can learn, reason, and solve complex problems.
  • Curriculum: Courses in AI include machine learning, deep learning, natural language processing, computer vision, robotics, and ethical considerations in AI.
  • Career Paths: AI majors are prepared for careers in data science, machine learning engineering, AI research, and roles in industries like technology, finance, and healthcare.

Computer Science Major:

  • Focus: The computer science major provides a broader foundation in the principles of computing, including software development, hardware design, and network systems. It covers a wider range of topics within computer science.
  • Curriculum: Courses in computer science include programming, data structures and algorithms, software engineering, operating systems, computer networks, and database systems.
  • Career Paths: Computer science majors can pursue careers in software development, systems engineering, network administration, database management, and various other IT-related fields.
Yes. The University Scholars Honors Program offers students in the  artificial intelligence major a more challenging curriculum and close support from professors while completing their undergraduate degree. Acceptance into the program is highly selective and includes a $2000 travel grant.

Artificial Intelligence Program at Xavier University

Xavier University’s College of Arts and Sciences challenges students to develop an integrated understanding of humanity, the world, and God by pursuing the questions raised in Xavier's core and departmental curricula. The College of Arts and Sciences is the oldest and largest college at Xavier University. The college provides an excellent liberal arts education in the Jesuit tradition that prepares students for careers, professional or graduate school, and life in a global society.

Xavier University is a private university located in Cincinnati, Ohio, providing a liberal arts education in the Jesuit Catholic tradition. Founded in 1831, the University is the sixth-oldest Catholic university in the nation. It has been ranked among the top 10 master's-level universities in the Midwest by U.S. News & World Report for the past two decades. The Princeton Review names it one of the "Best 385 Colleges in America."