Artificial Intelligence (Coming Fall 2027-28)
Artificial Intelligence - A Major for Innovators
Artificial Intelligence is transforming industries—from health care and transportation to finance and entertainment. The AI major reflects Rose-Hulman’s commitment to preparing students for the future and includes hands-on projects, interdisciplinary learning, and courses taught by faculty with real-world experience.
The AI major is designed for students who want to obtain a deep understanding of the theory behind modern and classical AI and paves the way for them to be involved in a) the development of the next generation of AI systems, b) leveraging AI responsibly to develop solutions to complex real world problems and c) research and develop guardrails to ensure safe systems. We want our students to cultivate the judgment and skill needed to innovate responsibly in an era defined by data and computation.
Summary of Graduation Requirements:
To complete the major in artificial intelligence a student must complete the following:
1. All required courses listed by number in the schedule of courses above: CSSE 120, CSSE 132, CSSE 220, CSSE 230, CSSE 232, CSSE 280, CSSE 313, CSSE 316, CSSE 330, CSSE 333, CSSE 371, MA 384, CSSE/MA 416, CSSE 417, CSSE 418, CSSE 484, CSSE 485, CSSE 486, MA 111, MA 112, MA113, MA 221, MA 276, MA 381, MA 382 or MA 223, MA 373, MDS 211, MDS 212, ECE 233, PH 111, PH 112, CHEM 111, HUMH 190, ENGL H290, HUM H130, PHIL H202, and RHIT 100
2. Twelve credits of additional courses identified by the CSSE department as AI electives. CSSE 490-493 courses can be used as electives with approval from the CSSE department head and the student's advisor. Credits used to satisfy any requirements for a minor or secondary major pursued by a student cannot also be used to satisfy required or AI elective requirements for the student’s primary or secondary major in Artificial Intelligence. Credits used by a student pursuing a secondary major in AI that are intended to satisfy the AI elective requirement can only be used to satisfy technical or free elective requirements within the student’s primary major and not used towards any requirements within the primary major.
3. Four credits of lab-based science electives, which can be any CHEM, PH, BIO courses with an associated lab not already required for the artificial intelligence major.
4. Twenty credits of additional courses offered by the Department of Humanities, Social Sciences, and the Arts. The distribution of these courses must meet the requirements of the Department of Humanities, Social Sciences, and the Arts.
5. Twelve credits of free elective courses.
6. A total of 192 credits
Artificial Intelligence Program Educational Objectives:
Graduates from the artificial intelligence program will be prepared for many types of careers in the field of computing and be prepared for graduate study in artificial intelligence and in closely related disciplines. In the early phases of their careers, we expect Rose-Hulman artificial intelligence graduates to be:
- Artificial intelligence professionals in a variety of organizations, including ones doing traditional software
development, technological innovation, and cross-disciplinary work. - Business and technological leaders in their organizations, industries, and disciplines.
- Recognized by their peers and superiors for their communication, teamwork, and leadership skills.
- Actively involved in social and professional service locally, nationally, and globally.
- Graduate students and researchers.
- Leaders in government and law as government employees, policy makers, governmental advisors, and legal
professionals.
Artificial Intelligence Student Outcomes:
Graduates of the program will have an ability to:
1. Analyze a complex computing problem and to apply principles of computing and other relevant disciplines to identify solutions.
2. Design, implement, and evaluate a computing-based solution to meet a given set of computing requirements in the context of the program’s discipline.
3. Communicate effectively in a variety of professional contexts.
4. Recognize professional responsibilities and make informed judgments in computing practice based on legal and ethical principles.
5. Function effectively as a member or leader of a team engaged in activities appropriate to the program’s discipline.
6. Apply artificial intelligence theories, models, and techniques to design and implement AI based solutions that solve complex problems.
The faculty strives to maintain an open atmosphere that encourages mutual respect and support as well as learning and sharing of knowledge.