Learn, Create and Lead with Artificial Intelligence
Artificial intelligence is reshaping every field, from business and education to science, communication and the arts. At The Citadel, students are encouraged to explore how AI can expand learning, creativity and leadership. The opportunities below provide guidance, coursework and real-world experience to help you apply AI responsibly and effectively.
Student Guide to Artificial Intelligence (AI-U 2025)
The Student Guide to Artificial Intelligence (AI-U 2025) is part of the national Student Guide to AI series, produced by Elon University and the American Association of Colleges and Universities (AAC&U).
This resource introduces the foundations of artificial intelligence and connects them to The Citadel’s mission of developing principled leaders who use emerging technologies ethically and with purpose.
The guide empowers Citadel students to:
- Understand how AI is transforming learning and work.
- Use AI tools responsibly and transparently.
- Develop skills that strengthen critical thinking, communication and innovation.
- Engage with questions of ethics, bias and the societal impact of technology.
Artificial Intelligence & Machine Learning Minor
The Artificial Intelligence & Machine Learning Minor for cadets at The Citadel prepares students to design, implement and evaluate intelligent systems across a wide range of industries. The Artificial Intelligence & Machine Learning minor gives students a grounding in the fundamental concepts underlying modern AI & ML approaches and systems. It covers both the mathematical background as well as programming.
Upon completing the minor in AL & ML, students will be able to:
- Develop AL & ML approaches for complex real-world problems.
- Use a broad range of AL & ML tools, techniques, and algorithms.
- Apply AL & ML tools in an ethical and socially responsible manner, with an awareness of biases that can result from their indiscriminate use.
- Communicate results of complex analyses using appropriate visualization techniques.
- Be well versed with the Python programming language and all the key packages for AI and ML such as NumPy, pandas, Scikit-Learn, SciPy, MatplotLib, Tensorflow, Keras, spaCy, NLTK, Gensim, etc.