How a master's in AI can prepare you to lead in business

For today’s business leaders, being able to use AI tools fluently is a highly sought-after skill, and one that top employers are increasingly looking for when hiring.

In our most recent GMAC Corporate Recruiters Survey Report, ‘skills in AI tools’ rose significantly in importance year-over-year—reflecting the growing demand for this proficiency.

One effective way to build these desirable skills is by studying a master’s in AI—a specialist master’s degree that bridges the gap between technical expertise and business application. One such program is the Master of Artificial Intelligence in Business (MAIB), recently launched by HKU Business School at The University of Hong Kong. This program is designed to equip early- to mid-career professionals with the skills they need to become AI-confident business leaders.

“Future business leaders will operate in an environment where AI is embedded into almost every function, from customer engagement and pricing to supply chains, risk management, and HR,” says Professor Michael C. L. Chau, program director of the MAIB at HKU Business School.

“AI is quickly becoming a core leadership competency, much like financial literacy or strategic thinking.”

What AI skills do employers look for?

Future managers will need to understand how AI tools work at a high level, but also to redesign business models, processes, and customer experiences around these, Professor Chau explains.

This is no easy feat, he says, adding: “Future leaders must learn to ask the right questions of data and AI teams and translate strategic goals into AI projects. They should also evaluate AI solutions, understanding their capabilities, limitations, and risks rather than relying blindly on technical experts or vendors.”

Additionally, leaders must also be the driving force of digital transformation within a company, and to do this successfully, strong communication skills are required of senior business managers.

With this in mind, on the MAIB, students undergo extensive training in communication and presentation skills, where they must explain AI-driven insights and recommendations to management audiences.

One of the most important issues that business leaders are considering is around governance of AI, explains Professor Chau (pictured below).

“Using AI in a business environment, there is an ethical responsibility to consider issues surrounding bias, transparency, and regulation. Leaders must consider these and understand how to navigate fairness, accountability and privacy. Having a firm grasp of these issues is vital for all future leaders in whichever role they choose.”

To demonstrate these important lessons, the HKU master’s integrates real-world case studies and includes discussion sessions about AI policy, ethics and governance.

What should you expect from a master’s in AI?

Business education can no longer treat AI as a niche technical topic, explains Professor Chau. Instead, it must be embedded across all disciplines.

That’s why he expects to soon see a huge demand for programs, such as the HKU MAIB, which uses interdisciplinary learning to bridge subjects like business, analytics, and computer science.

This interdisciplinary focus is essential for practical AI training, he says. For example, the MAIB blends machine learning, data analytics, and AI technologies with strategy, finance, marketing, and operations. “We do not teach AI in isolation,” he says. During a master’s in AI, students can expect to learn a combination of technical knowledge and applied experience, including key concepts in machine learning, deep learning, natural language processing, and data analytics; as well as hands-on experience with data processing, model building, and evaluation.

Some of the best master’s in AI programs boast a project-led curriculum. “As program director, I have placed strong emphasis on experiential and applied learning in the Master of Artificial Intelligence in Business,” says Professor Chau. “Many of our courses are project-based, requiring students to design and implement AI-driven solutions to business problems and to present their findings in a management-oriented way.”

Students on the MAIB learn with real datasets, working directly with business cases and examples from Hong Kong, mainland China, and global firms, which mirror the challenges they will face in the workplace. This gives them the opportunity to apply technical knowledge learned in core courses to real problems they may face in business.

Hearing directly from industry experts is a powerful way to see how these skills will work in practice. Students benefit from these interactions through guest lectures and seminars from executives, entrepreneurs, and AI specialists. “These activities help students connect classroom knowledge with the realities of AI adoption in organizations,” says Professor Chau.

What jobs can you get with a master’s in AI?

A master’s in AI is extremely versatile and can prepare students for a wide range of roles that sit at the meeting point of business and technology.

“Because the program combines solid AI and analytics foundations with business knowledge, graduates are well positioned to join corporates, consulting firms, technology companies, and startups that are driving AI-enabled change,” says Professor Chau.

Typical career paths include roles such as business analyst, AI product manager, digital transformation manager, as well as positions in consulting, fintech, and strategy. However, some graduates may choose to specialize further in areas such as marketing analytics, risk management, or operations.

These specialized degrees are therefore useful for anyone who needs to understand AI deeply enough to lead AI-enabled initiatives and teams, not just for those pursuing technical roles.

Leading with AI

Anyone can learn to use AI, but a master’s in AI will teach you how to use it to lead effectively. The most effective leaders will be the ones who can harness these tools to create change. For this, AI literacy is no longer enough.