Is an AI degree
worth it?

It's worth it when the skills are applied ones. Workers with AI skills command a clear wage premium over those without, and demand for AI-skilled roles is growing far faster than the overall job market. The return comes from skills you can use — the tools, the judgment, the ability to direct AI — not the credential alone.

Yes. Labor-market research consistently shows a substantial wage premium for AI skills, and it climbs higher for people who combine two or more. The premium reflects scarcity — companies have the technology but not enough people who can apply it.

Yes — business-facing AI roles reward applied fluency over engineering. A Nexford AI credential teaches you to use tools like SQL, Python, and automation and to align AI with business goals, which is exactly what the fastest-growing roles need. You don't have to become an engineer to benefit from the shift.

Degree requirements are loosening as employers move toward skills-based hiring, but a focused credential still does real work: it signals applied skill and gives structure to what you've learned. The strongest position is a credential that proves specific, usable AI skills.

It depends where you are. If you need a first credential, the Bachelor of Science in AI for Business (BSAIB) builds the foundation; if you already have a degree and want to move up, the Master of Science in AI and Technology Management (MSAI) or an MBA with AI Specialization adds depth and velocity. What matters most is that the program maps to a real role — not the level alone.

Most universities retrofit a course or two of AI onto an old curriculum. Nexford built its programs around the AI economy from the start, using labor-market data to map courses to what employers screen for — and it makes AI use mandatory in every course, grading you on how well you wield it. You come out having practiced the skill, not just studied it.