Where data science talent meets real-world challenges: an EngD perspective
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With more than 125 alumni, the Engineering Doctorate program in Data Science at JADS has reached a milestone that says something important about its role in practice. Over the past years, the program has helped early-career professionals grow into technological designers and supported organizations in turning data questions into concrete solutions.
For Program Director Tiberiu Muntean, that is the clearest way to describe EngD. It is a two-year post-master program for people who want to apply data science and AI in real settings. The program focuses on developing technological designers, professionals who not only analyze data, but design and build solutions that work in practice, in close interaction with stakeholders. It also serves organizations that want to work on meaningful challenges with fresh talent and academic support.
For prospective candidates, the appeal is clear. EngD offers the chance to keep learning after a master’s degree, while working on projects that reflect the complexity of real organizations. For companies and public sector partners, it offers access to highly trained young professionals who can design, build, and deliver data-driven solutions in close collaboration with stakeholders.
Tiberiu Muntean, Program Director of EngD
A program for people who want to apply what they know
EngD takes a distinct route after a master’s degree. It is designed for young professionals who want to deepen their expertise and, at the same time, learn how to use it in practice, working on real challenges under supervision in a demanding but supportive environment. Candidates work on real cases, learn from mentors and peers, and gain experience across different contexts before taking the next step in their career.
That makes the program attractive to a specific kind of graduate: someone who wants to build, explore, and grow as a technological designer. Some candidates come in with a strong technical background and want to become better at working with stakeholders and real project dynamics. Others already have professional strengths and want to consolidate their scientific foundation. The program brings those trajectories together.
Why 125 alumni matters
The 125 alumni milestone is more than a round number. It reflects years of guiding new professionals through the program and years of collaboration with organizations on projects that create value in practice.
It also shows that the program has matured. Its core principles have remained stable: strong technical foundations, cohort-based learning, and a close connection to real-life cases. At the same time, the content stays relevant to a field that changes quickly. Data science and AI continue to evolve, but the program does not follow every hype. It stays focused on the fundamentals candidates need, while adapting projects and learning experiences to new developments.
That balance has also been recognized in the renewed accreditation. For Tiberiu that matters because it confirms the quality of the program as it exists today: its learning environment, its teaching approach, and the way it helps candidates develop into professionals who can contribute with confidence. This scale also enables the next phase of the program: a stronger alumni network, deeper collaborations with partners, and a broader impact across domains.
Early 2025 JADS EngD celebrated the 100th graduate
What candidates gain
One of the strongest aspects of EngD is the mix of academic learning and real-world application. Candidates do not work on simulated assignments. They work on projects where organizations invest time, attention, and resources. That changes the learning experience.
They learn how to define a problem that is still open, how to make design choices under pressure, and how to communicate with stakeholders who bring different expectations and perspectives. They also learn how to move forward when data is incomplete, the route is unclear, or a project takes an unexpected turn.
Looking back, alumni often point to that variety as one of the most valuable parts of the program. They worked across domains, encountered different kinds of challenges, and learned what it takes to deliver in practice. That is where growth happens.
