Every few years, the same pattern repeats itself.
A new technology emerges. First the internet, then e-commerce, then mobile, then cloud, and now artificial intelligence. It promises to change everything. Universities respond quickly, launching new degrees and rebranding old ones to match the moment. Students follow, hoping to build skills that will carry them into the future.
And then, inevitably, the future shifts again.
“At this point, we’ve seen all the waves,” says Stefano Grazioli, Academic Director of UVA McIntire’s one-year M.S. in the Management of Information Technology (MSMIT) Program for working professionals. “Every time, it feels revolutionary. And it is. But then the next wave comes.”
For Grazioli, that cycle raises a different question, one that most programs are not built to answer. What do you teach students that will still matter five or ten years from now?
Too often, programs are designed around what is immediately in demand, rather than what endures. They teach students how to use a specific set of tools, but not how to evaluate the next set when it arrives.
The UVA MSMIT program takes a different approach. It treats technology not as a specialty, but as a function of business, one that has to be understood in context. The program is built around the idea that the most valuable skill in technology is not knowing the newest tool. It is knowing how to think critically about technology.
“You need to manage information technology with an eye to business value,” Grazioli says.
Bringing AI Into Focus
That philosophy does not mean ignoring AI. In fact, the program has expanded its focus on it.
Over the past year, the MSMIT program has adopted deliberate updates to ensure students are prepared to lead in an AI-driven world. The goal is not to turn learners into engineers, but to help them understand how AI actually works inside organizations.
“We don’t focus on the math or the coding,” Grazioli explains. “We focus on how you use it in a business setting, how it scales, where the data comes from, what it costs.”
The most significant change comes in the program’s third module, which has been redesigned almost entirely around data, analytics, and artificial intelligence.
Here, students dive into questions that go beyond surface-level familiarity. How do you evaluate whether an AI initiative is worth pursuing? What kind of data do you need, and how do you manage it? How do you test whether a model is actually working? And perhaps most importantly, how does any of this translate into business value?
The goal is not to produce data scientists, but decision-makers. These are leaders who can guide AI initiatives with clarity and confidence.
That distinction, between building technology and leading it, runs throughout the program.
Most graduate degrees force a tradeoff. MBA programs develop business acumen but often treat technology as secondary. Technical programs build deep analytical skills but leave strategy largely untouched.
The MSMIT program is designed to bridge that gap.
“We are like an MBA program,” Grazioli explains, “with one very strong concentration, and it’s IT.”
Students are expected to understand how technologies like AI, cloud systems, and data infrastructure function. This understanding is not at the level of coding, but at the level required to make informed decisions. They learn how systems fit together, how data flows through organizations, and how those elements shape outcomes.
Because in practice, technology is never isolated. It is embedded in every business function.
A Different Kind of Degree
That reality is often clearest in the kinds of students the program attracts.
Some students, such as developers, cybersecurity specialists, or database administrators, come from technical roles where they have become experts in a narrow domain. Others enter with business backgrounds and now find themselves managing IT teams and product suites without fully understanding the work.
In both cases, the limitation is the same. They can see part of the system, but not the whole thing.
“They’re being pigeonholed,” Grazioli says. “They’re very good at what they do, but what they do is limited. And they want to be bigger, to understand how everything fits together.”
What they are looking for is not just another skill. It is perspective.
Learning to See the Whole System
The program builds that perspective by grounding students in real-world complexity.
Consider a seemingly simple innovation that students recently studied in class. A smart tennis racket that tracks performance and syncs with a smartphone. On its own, it is a product feature. But inside a business, it becomes something much larger.
Sales teams must explain how it works across devices. Customer support must troubleshoot connectivity issues. Manufacturing must account for batteries and weight distribution. Marketing must communicate a more sophisticated value proposition.
“How will this change your business?” Grazioli asks. “How will it change your marketing, your sales, your support? We start from the technology, but the technology is always just the starting point. You need to understand how it will affect your customers and business.”
The lesson is that technology decisions ripple across organizations in ways that are easy to underestimate.
Even as UVA McIntire’s MSMIT program expands its coursework surrounding AI, it does so within a broader framework.
Students do not just learn what AI can do. They learn what it takes to implement it. They explore how to integrate it into products, how to manage the organizational change it requires, and how to evaluate whether it is working.
“Digital transformation isn’t an abstract idea,” Grazioli says. “You have to make it happen. It has to be embodied in a coherent set of products, projects, and processes.”
That mindset shapes the program as a whole. Technology is never treated as an end in itself. It is always part of a larger system that includes people, processes, costs, and outcomes.
Beyond the Hype
There will always be a new wave. Another technology. Another promise.
The pace is not slowing down. What McIntire’s MSMIT program offers is something different. A way of thinking that does not depend on any single trend and not just how to learn the next technology but how to understand it, and what to do with it, when it arrives.
For Grazioli, that distinction is simple.
“It’s not about the current wave, or even the next one,” he says. “It’s about all the waves at once.”
In a landscape crowded with programs built around what’s new, it is a quieter idea: that the real advantage may not come from chasing the next wave, but from knowing how to navigate all of them.
