The Applied Artificial Intelligence program equips students with the technical, ethical, and interdisciplinary foundations needed to design, deploy, and evaluate Artificial Intelligence systems in real-world contexts. Students engage in hands-on coursework that integrates computing, data science, and ethical reasoning, with opportunities to apply their learning through applied projects and practical experiences rather than purely theoretical research. Graduates emerge as thoughtful practitioners who combine technical competence with Christian-informed values, prepared to steward Artificial Intelligence responsibly in service to industry, society, and the common good.
Program Learning Outcomes
By fulfilling all of the course requirements for the Bachelor's of Art in Communication & Leadership, students will be able to:
- Practical Software Development Skills: Demonstrate proficiency in designing, coding, testing, and maintaining software applications, with a focus on meeting real-world business and organizational needs.
- Data Management and Analysis: Utilize database systems and data analysis techniques to store, retrieve, and interpret information, supporting sound decision-making and strategic planning in professional settings.
- Web and Mobile Development Expertise: Develop web and mobile applications that are efficient, user-friendly, and responsive, ensuring optimal user experiences and alignment with organizational goals.
- Integration of Christian Ethics and Technology: Address ethical and societal issues in computing by applying Christian values and professional codes of conduct, ensuring that technological solutions promote the common good and respect human dignity.
- Collaboration and Communication in Technology Teams: Communicate technical concepts effectively to various audiences, work collaboratively in diverse teams, and contribute positively to project environments in remote and global contexts.
- Adaptability to Emerging Technologies: Stay informed about emerging trends and technologies, and adapt quickly to changes in the field to remain effective in a fast-paced, ever-evolving industry.
- Preparation for Graduate Studies or Professional Advancement: Build a strong foundation of applied computer science knowledge and skills that prepares graduates for advanced education or immediate entry into a wide range of computing-related careers.
Plan - Applied Artificial Intelligence (online)
Plan of Study Grid
| Semester 1 |
|---|
| Western Culture & Worldview () |
| College Writing () |
| Heritage of Faith () |
| | Hours | 15 |
| Semester 2 |
|---|
| Theory and Fundamentals of Computer Science () |
| Western Thought & Worldview () |
| Biblical Theology () |
| Coding I - Fundamentals () |
| | Hours | 15 |
| Semester 3 |
|---|
| Coding II - Algorithms () |
| Fit and Well () |
| Computational Dilemmas () |
| Operating Systems () |
| | Hours | 17 |
| Semester 4 |
|---|
| Elementary Logic () |
| Science & Humanity () |
| Machine Learning and Robotics () |
| Database Fundamentals () |
| | Hours | 15 |
| Semester 5 |
|---|
| Cybersecurity () |
| Advanced Database and Web Development () |
| Philosophy of Mind () |
| | Hours | 15 |
| Semester 6 |
|---|
| Software Engineering () |
| Emerging Technologies in Artificial Intelligence () |
| Artificial Intelligence Governance () |
| Artificial Intelligence () |
| Internship () |
| | Hours | 13 |
| Semester 7 |
|---|
| User Experience and Interactive Systems () |
| Adv Artificial Intelligence () |
| | Hours | 15 |
| Semester 8 |
|---|
| The AI Dilemma: Ethical Issues in Artificial Intelligence () |
| Capstone Project () |
| | Hours | 15 |
| | Total Hours | 120 |
Course options and schedule are subject to change.
Plan - MSBA Fast Track for Applied Artificial Intelligence Majors (online)
Plan of Study Grid
| Semester 1 |
|---|
| Western Culture & Worldview () |
| College Writing () |
| Heritage of Faith () |
| | Hours | 15 |
| Semester 2 |
|---|
| Theory and Fundamentals of Computer Science () |
| Western Thought & Worldview () |
| Biblical Theology () |
| Coding I - Fundamentals () |
| | Hours | 15 |
| Semester 3 |
|---|
| Coding II - Algorithms () |
| Fit and Well () |
| Computational Dilemmas () |
| Operating Systems () |
| | Hours | 17 |
| Semester 4 |
|---|
| Elementary Logic () |
| Science & Humanity () |
| Machine Learning and Robotics () |
| Database Fundamentals () |
| | Hours | 15 |
| Semester 5 |
|---|
| Cybersecurity () |
| Business Data Analytics Programming with Visualization () |
| Advanced Database and Web Development () |
| Philosophy of Mind () |
| | Hours | 15 |
| Semester 6 |
|---|
| Software Engineering () |
| Emerging Technologies in Artificial Intelligence () |
| Artificial Intelligence Governance () |
| Artificial Intelligence () |
| Internship () |
| | Hours | 13 |
| Semester 7 |
|---|
| User Experience and Interactive Systems () |
| Introduction to Coding, Programming, and Databases for Analytics () |
| Mastering Analytics and Decision Making () |
| Management Information Systems () |
| Adv Artificial Intelligence () |
| | Hours | 15 |
| Semester 8 |
|---|
| The AI Dilemma: Ethical Issues in Artificial Intelligence () |
| Capstone Project () |
| Analytics and the Digital Economy () |
| | Hours | 15 |
| | Total Hours | 120 |
Course options and schedule are subject to change.
