How can I tell whether an AI program is mainly computer science, mathematics, or applications?
Do not rely only on the program’s name. Check its curriculum, required courses, graduation requirements, faculty research areas, and the content of practical work or graduation projects. An emphasis on algorithms, programming, data structures, and systems suggests computer science; linear algebra, probability, statistics, and optimization suggest mathematics; and problem-solving or projects in areas such as medicine, manufacturing, or finance suggest applications. A program may combine areas, so consider the weight of required courses as well as the number of courses.
Key points
- Use the curriculum to compare the fields and weighting of required and elective courses.
- Review faculty research areas and the themes of laboratories, practical classes, and graduation projects.
- A program may span multiple areas, so compare course counts and the weight of required courses.
Things to check
- Content varies by university, faculty, course, and academic year; check the latest official curriculum, syllabi, and laboratory descriptions.