For decades, the Master of Business Administration (MBA) has been one of the most recognised postgraduate credentials for professionals seeking careers in management and leadership. Today, as demand for advanced skills in artificial intelligence, data science and cybersecurity continues to grow, it is natural to ask whether technology-focused master’s degrees are becoming the new MBA.
The evidence points to a significant increase in demand for technically sophisticated skills. Yet employers continue to seek professionals with strong business acumen. Technology degrees are increasingly becoming part of a broader shift towards professionals who understand technology, commercial priorities and organisational responsibilities.
The Demand Is Real, But It Must Be Carefully Interpreted
The World Economic Forum’s Future of Jobs Report 2025, based on more than 1,000 employers representing over 14 million workers across 55 economies, found that AI and big data are the fastest-growing skills through 2030, followed by networks and cybersecurity. The report also found that 86% of employers expect AI and information-processing technologies to transform their businesses by 2030.
In the United States, employment projections also point to growing demand. The US Bureau of Labour Statistics expects employment of data scientists to grow by 35% between 2024 and 2034, compared with 4% growth across all occupations. It projects approximately 23,400 openings for data scientists each year over the decade.
Cybersecurity has an equally strong outlook. The US Bureau of Labour Statistics projects employment of information security analysts to grow by 33% between 2023 and 2033, with approximately 17,100 openings per year on average.
These figures demonstrate growing demand for these skills; they do not guarantee that completing a specialised master’s degree will translate into a salary premium or employment. The Bureau does not list a master’s degree as the standard entry-level qualification for either occupation, although it notes that some data science employers require or prefer an advanced degree, while information security professionals may also need relevant experience or certifications.
Where The “AI Premium” Really Comes In
The “AI premium” is better understood as the value of a relevant combination of skills rather than the value of a particular degree. An employee who can build or evaluate an AI model already brings technical value. A professional who can assess its commercial applications, understand its limitations and address governance and ethical risks may have a far greater impact.
The same principle applies across industries. In financial services, AI skills need to be complemented by an understanding of model risk, fraud and regulation. In healthcare, data capabilities must sit alongside knowledge of privacy, safety and clinical processes. In manufacturing, automation, predictive maintenance and supply-chain analytics may be key priorities. Cybersecurity professionals, meanwhile, increasingly need to communicate in terms of operational, financial and reputational risk.
A relevant specialised degree, although not necessarily one carrying an “AI” or “data” label, can help professionals develop these capabilities. Its value, however, depends heavily on the quality of the programme and how effectively it connects theory with practical applications. Prospective students should look beyond the title of a course and examine whether it covers current tools, real-world applications, governance, communication and industry-relevant problems.
The MBA Remains Relevant
The evidence from management recruitment does not suggest that the MBA is disappearing. The Graduate Management Admission Council’s 2025 Corporate Recruiters Survey found that 90% of employers globally planned to hire MBA graduates, while 76% expected to hire the same number or more new MBA graduates in 2025 compared with 2024.
But the changing skills landscape points to something else: the growing importance of combining technology with human and business skills. AI-related skills are expected to grow rapidly over the coming years, but employers continue to value communication, problem-solving, adaptability, data literacy and strategic thinking.
The implication is not that technology is replacing business education. Rather, the two are increasingly converging.
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Going hybrid Is More Realistic
The choice between an MBA and a specialised technology master’s degree should begin with the intended career path.
Someone pursuing roles in data science, AI engineering or technical cybersecurity may have a stronger case for specialised education. A professional targeting general management, consulting, entrepreneurship or cross-functional leadership may still find an MBA more relevant.
The ideal leadership profile of the future is unlikely to be either a traditional generalist or a narrowly defined technology specialist. It will increasingly be someone who understands technology well enough to challenge conventional thinking, while possessing the commercial judgement and communication skills to turn that understanding into action.
Master’s degrees in AI, data and cybersecurity are not yet becoming the new MBA. But their growing relevance points to a larger shift in what industry expects from future leaders: technology is no longer simply a specialist function sitting alongside business; understanding technology is increasingly becoming part of leadership itself.
