Bachelor of Science in Artificial Intelligence
Online Bachelor’s Degree in Artificial Intelligence
Explore the field of artificial intelligence with a Bachelor of Science in Artificial Intelligence, an AI degree focused on foundational and applied concepts. This program introduces topics such as machine learning, robotics, data analysis, and intelligent systems, and helps students work to build an understanding of how these technologies are used in a range of settings. Coursework includes opportunities to work with commonly used programming languages and tools in artificial intelligence and machine learning. Through academic study and project-based experiences, students will work to develop familiarity with approaches and processes associated with this evolving area of technology.
183
Program Credits
5 Weeks
Course Length
Online
Location
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Program Overview
The Bachelor of Science in Artificial Intelligence (BSAI) program offers students a comprehensive curriculum that blends both core computer science and specialized artificial intelligence coursework. This interdisciplinary program also includes general education courses, ensuring a well-rounded educational experience.
The Bachelor of Science in Artificial Intelligence (BSAI) program provides a comprehensive, industry-relevant curriculum that integrates core Computer Science courses with specialized Artificial Intelligence coursework. As an interdisciplinary program, it also incorporates general education courses to ensure a well-rounded educational experience. This highly technical degree is grounded in advanced mathematics, computational theory, and algorithmic design, emphasizing the development, training, and evaluation of AI systems and autonomous agents. By fostering AI literacy and competency, the program helps students prepare to address complex challenges in the digital economy.
This program does not lead to additional licensure or certification. As such, CTU has made no determination regarding prerequisites for licensure or certification in any state or jurisdiction.
Through innovative, industry-relevant curricula and technology-enabled, student-centered teaching, the College of Computer Science, Engineering, and Technology empowers a diverse student population to become motivated, creative, ethical, and skillful professionals. By fostering AI literacy and developing AI competency alongside core experience in Computer Science, Computer/Electrical Engineering, and Information Technology, the College helps students prepare to address complex challenges in the digital economy and achieve their personal and professional goals.
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Courses
| Courses: General Education | Credits | |
|---|---|---|
| COMS105 | Interpersonal Communications | 4.5 |
| ENGL104 | Introductory Written Communication | 4.5 |
| ENGL105 | Professional Written Communications | 4.5 |
| HIST120 | Intro to American History: 1950 to the Present | 4.5 |
| MATH111 | College Algebra for Technical Programs | 4.5 |
| PHIL101 | Introduction to Ethics | 4.5 |
| PSYC102 | Introductory Psychology | 4.5 |
| SCI101 | Introduction to the Sciences | 4.5 |
| SCI103 | Science and Technology- Laboratory Course | 1.5 |
| SCI201 | Environmental Science and Sustainability | 4.5 |
| SOCL102 | Introductory Sociology | 4.5 |
| UNIV104 | Academic and Career Success | 4.5 |
| Total Credit Hours: | 51 | |
| Courses: Core | Credits | |
|---|---|---|
| AI210 | Fundamentals of Machine Learning | 4 |
| AI310 | Deep Learning | 4 |
| AI321 | Computer Vision | 4 |
| AI322 | AI and Ethics | 4 |
| AI323 | Natural Language Processing | 4 |
| AI325 | Generative AI with Large Language Models | 4 |
| AI327 | Problem Solving via Prompt Engineering | 4 |
| AI330 | AI for Cybersecurity | 4 |
| AI340 | Data Visualization and Exploratory Data Analysis | 4 |
| AI345 | Optimization Methods for AI | 4 |
| AI410 | Adversarial Learning | 4 |
| AI420 | Autonomous Agents | 4 |
| AI430 | Computer Robotics | 4 |
| AI440 | Generative AI for Software Development | 4 |
| AI491 | AI Team Project I | 4 |
| AI492 | AI Team Project II | 4 |
| CS101 | Problem Solving in Computer Science | 4 |
| CS119 | Introduction of Programming | 4 |
| CS141 | Fundamentals of Computer Organization and Architecture | 4 |
| CS219 | Python Programming | 4 |
| CS233 | Fundamentals of Data Structures | 4 |
| CS253 | Introduction to Database Systems | 4 |
| CS267 | Computer Algorithms | 4 |
| CS337 | Introduction to Parallel Computing | 4 |
| CS341 | Principles of Operating Systems | 4 |
| CS349 | Software Engineering | 4 |
| MATH212 | Fundamentals of Discrete Mathematics | 4 |
| MATH307 | Mathematical Foundations for AI | 4 |
| MATH317 | Probability, Statistics, and Uncertainty Modeling | 4 |
| Total Credit Hours: | 124 | |
| Courses: Electives | Credits | |
|---|---|---|
| Total Credit Hours: | 8 | |
| Courses: Elective Choices | Credits | |
|---|---|---|
| CS221 | SQL Programming | 4 |
| CS226 | Java Programming | 4 |
| CS227 | Linux Programming | 4 |
| CS228 | C++ Programming | 4 |
| CS356 | Foundations of Big Data Analytics | 4 |
| CS367 | Streaming Data Analytics | 4 |
| CS378 | NoSQL Databases | 4 |
| CS473 | Data Mining | 4 |
| CS479 | Data Visualization | 4 |
| CSS280 | Ethical Hacking | 4 |
| CSS321 | Software Assurance | 4 |
| IT175 | Introduction to Cloud Computing | 4 |
| IT204 | Fundamentals of Networking | 4 |
| IT304 | Computer Networks and Communications | 4 |
Total Credit Hours: 183
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Learning Outcomes
1. Analyze complex computing problems and apply interdisciplinary principles, including advanced AI technologies, to identify innovative solutions.
2. Design, implement, and evaluate AI-driven solutions that meet specified computing requirements, leveraging industry-relevant methodologies and tools.
3. Communicate effectively in a variety of professional contexts.
4. Recognize and uphold professional responsibilities, making informed and ethical decisions in AI practices, with a strong understanding of legal implications and social impact.
5. Collaborate and lead effectively in multidisciplinary teams, demonstrating strong interpersonal skills and the ability to manage AI projects from conception to completion.
6. Apply computer science theory and software development principles to develop robust, secure, ethical, and scalable AI solutions by fostering AI literacy and competency.
Faculty
Dr. Yanzhen Qu
University DeanDr. Yanzhen Qu is the University Dean and Professor at the College of Computer Science, Engineering and Technology at Colorado Technical University (CTU). During his tenure at CTU, Dr. Qu has taken a leadership role in modernizing the curricula of CTU’s CS, IT and Cybersecurity degree programs, ranging from Associate to Doctoral levels.
Dr. Richard Cai
Executive Program DirectorDr. Richard Cai is CTU’s Executive Program Director for the College of Computer Science, Engineering & Technology. In this role, Dr. Cai supervises curriculum design, development and revision for the degree programs offered in the college. He also plays a key role in the program assessment and accreditation.
For more faculty profiles please visit our Leadership and Faculty page.
For more information visit the College of Engineering and Computer Science.
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FAQs
A BSAI degree can support exploration of roles such as Computer and Information Research Scientists, Software Developers, Data Scientists, Business Intelligence Analysts, and Clinical Data Managers*. Coursework may also relate to applications across sectors such as technology, healthcare, finance, and cybersecurity.
*CTU cannot guarantee employment, salary, or career advancement. The list of career paths related to this program is based on a subset from the Bureau of Labor Statistics CIP to SOC Crosswalk. Some career paths listed above may require further education or job experience.
This program is grounded in advanced mathematics. So, a foundation in mathematics is helpful. However, the curriculum does introduce topics progressively, with courses such as College Algebra for Technical Programs, Fundamentals of Discrete Mathematics, and Math Fundamentals for Artificial Intelligence to help build quantitative understanding.
While closely related, a Computer Science degree primarily focuses on designing and developing software systems, emphasizing programming, algorithms, data structures, operating systems, and broad software engineering skills across diverse application domains. An Artificial Intelligence degree builds on this foundation but concentrates on creating and evaluating intelligent systems, with specialized skills in machine learning, data-driven modeling, autonomous agents, and the ethical and societal implications of AI.
The curriculum includes Python, a widely used programming language in AI and machine learning. Students may also have opportunities to explore languages such as SQL, Java, Linux, and C++ through elective coursework.
Our BSAI program is designed to provide a balance of both. The program includes both conceptual and applied components. Coursework may involve foundational topics in computer science and AI, along with project-based experiences in areas such as Generative AI, Computer Robotics, and a two-part AI Capstone.
The curriculum includes a course focused on AI and ethics and may incorporate ethical considerations across other subjects. Topics can include decision-making frameworks, legal considerations, and potential social impacts of AI technologies.
The AI Capstone is a two-course sequence in which students work on a substantial project. This experience may involve applying concepts from prior coursework to design, implementation, and evaluating an AI-related solution.
Artificial intelligence continues to be applied across a range of industries, including areas such as automation, data analysis, and digital services. Pursuing a degree in AI may help build familiarity with concepts and tools used in this evolving field.
What Students Are Saying About Their CTU Experience
Thanks to obtaining my bachelor's degree, I have already obtained a new position within my company.
Michael T. 2023 Graduate, Bachelor of Science in Computer Science
CTU curriculum is set up in a way that makes everything easy to manage.
Robert M. 2023 Graduate, Bachelor of Science in Computer Science
CTU was a great choice for me, who was looking for career-focused education that is flexible and tailored to my needs.
Caleb N. 2023 Graduate, Bachelor of Science in Computer Science
