Master’s Degrees in AI: Growing Employer Preference
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Master’s Degrees in AI: Growing Employer Preference

Photo by:   Clker-Free-Vector-Images , Pixabay
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By MBN Staff | MBN staff - Thu, 07/04/2024 - 09:36

Employers are increasingly favoring candidates with Master’s degrees in AI, as highlighted by a National University report, which reveals that 75% of employers prefer advanced degrees due to the field's complexity. While many AI jobs still accept Bachelor's degrees, this trend underscores the growing demand for deeper expertise in the rapidly evolving AI landscape.

Linda Travis Macomber, Associate Professor, National University, emphasizes that advanced degrees are valued for their problem-solving skills, adaptability, and expertise essential for navigating AI's complexities. However, CompTIA's analysis shows that just over half of employers prefer advanced degrees for specialized AI roles, as many positions focus on applying AI technology to existing systems rather than developing new AI technologies from scratch.

“At this stage in the AI cycle, roles dedicated to building AI components represent a small portion of overall AI hiring. This is typical for emerging technologies, where the technology initially supplements existing job roles before evolving into specialized positions,” says Tim Herbert, Chief Research Officer, CompTIA.

The broader job market for AI talent still includes many positions that require only a Bachelor's degree, reflecting the current phase of AI adoption where integrating AI into existing technology is more common. This trend aligns with a broader push for upskilling, with AI, cybersecurity, and data being top priorities for training, as reported by Skillsoft. As AI technology evolves rapidly, there is a growing gap between available training and these advancements.

Herbert adds that the rapid development of generative AI raises questions about the relevance of advanced degrees that predate these innovations. Education and certification programs are working to keep pace with these changes. Ultimately, the preference for graduate degrees in AI highlights the increasing complexity of the field and the challenge for both employers and educational institutions to stay aligned with technological advancements, reports HR Dive.

Photo by:   Clker-Free-Vector-Images , Pixabay

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