“My EMBA program was so good I came back to do MSAIE” was consultant Naomi Withers’s Trustpilot headline. She returned for Quantic’s MS in AI Engineering to strengthen her technical understanding for her consulting work. Her story introduces a closer look at Quantic MSAIE reviews and the student experiences behind them.

Choosing to study while working raises questions a program description alone cannot answer. How does the learning fit into a full life? Where does it show up at work? Through student feedback and public reviews, six current students share their experiences so far. Several are Quantic E/MBA alumni, returning with new questions and goals.

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Quick Answer: What do Quantic MSAIE reviews reveal?

Students describe Quantic’s MS in AI Engineering as a practical way to deepen technical understanding and connect it with business needs. Their feedback highlights four themes:

• A positive experience brings alumni back. Naomi Withers and Justin Wright both cite their earlier Quantic education as a reason to return.
• Building makes the learning stick. Justin built an AI chat product from scratch. Warren Rehman built and tested an AI system for HR using synthetic data.
• Technical understanding informs business decisions. Jeff Dahl describes using his learning to help clients understand AI’s benefits and requirements. Akinsola Jeje is applying his knowledge in medical devices and healthcare.
• Flexibility makes continued study possible. Justin fits lessons around a demanding career and two young children. Warren values being able to study while traveling for work.

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Quantic MSAIE Reviews: What brought Naomi Withers back for Quantic MSAIE?

Naomi Withers’s Executive MBA continued to matter after graduation. The business knowledge she gained informed her work as a consultant and advisor. Writing on Trustpilot, she described the learning as practical, engaging, and designed with working professionals in mind.

Her consulting work gave her a clear reason to keep learning:

I work with companies that are navigating AI transformation, and I wanted to complement my business and consulting background with stronger technical understanding. I value Quantic’s approach to helping professionals connect academic learning with real-world application.

She chose Quantic’s MS in AI Engineering to pursue that goal. When Naomi shared her review, she was still early in the program, balancing study with growing her consulting and coaching practice.

Her closing words capture the trust behind her return:

I am grateful to be continuing my education with a school I respect and believe in.

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Quantic MSAIE Reviews: What keeps Warren Rehman experimenting?

Warren Rehman is the Android TV APAC Tech Lead at Google and a Quantic EMBA alumnus. He pursued Quantic’s MS in AI Engineering to connect executive strategy with hands-on technical fluency.

For Warren, one project kept opening up new possibilities.

It was honestly challenging to consider the assignment “done” because there was so much room to push the solution further and keep learning more.

The AI Engineering Techniques and Architectures Project mirrored challenges he was evaluating at work. He experimented with how an AI system retrieved information and responded to prompts. He then measured changes in performance and response quality. For the assignment, he built and validated a functional AI system for HR using synthetic data.

At the time of his feedback, workplace implementation remained an ongoing exploration. He wanted to adapt the architecture to use corporate documents and internal data to address challenges in his department.

Warren also travels frequently for work. Being able to study at different times and locations helps him make room for the effort a master’s program requires. That effort serves a clear purpose: developing the technical understanding he wants to bring to engineering leadership.

Great engineering leadership requires more than understanding what AI can do on a roadmap or a demo.

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Quantic MSAIE Reviews: How is Justin Wright putting Quantic MSAIE learning to work?

Justin Wright also returned with a specific goal. A former professional athlete and self-taught software developer, he wanted to fill gaps as his engineering responsibilities grew. His positive experience with Quantic’s Executive MBA helped bring him back for Quantic’s MS in AI Engineering.

One project gave him the opportunity to build an AI chat product from scratch, outside the company infrastructure he knew. Working through the system helped him understand the steps and skills needed to make it useful in practice. He also credits the hands-on coursework with deepening his understanding of model training and fine-tuning.

That learning connects directly with his work deploying AI agents for enterprise customers:

This has helped me better understand our customers’ needs, act as a more trusted advisor, and better scope the technical requirements of our deployments.

Justin has also built a machine learning model for personal projects. Applying the coursework to something of his own helped him gain confidence in deploying similar solutions.

With two young children and a demanding career, finding time to study matters. Justin values being able to fit short lessons into available moments and keep pace with his coursework. Reflecting on both his Quantic programs, he says:

These programs have allowed me to expand my knowledge, level up my career, and do so in a way that is flexible enough to work with my hectic life right now.

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Quantic MSAIE Reviews: What is Quantic MSAIE adding to Jeff Dahl’s approach to AI adoption?

Jeff Dahl brings more than 30 years of business and technology transformation experience to his studies. His career includes leadership roles at Bayer and PepsiCo. Through Quantic’s MS in AI Engineering, he is developing AI programming skills that complement that experience.

The coursework has made a strong impression:

I’m extremely impressed by the combination of strong foundational and technical coursework, plus, amazed at the tremendous speed and quality of AI-based system development.

Jeff is candid about being new to programming. He has focused on developing those skills and appreciates classmates who offer assistance, share news, and exchange ideas. Their varied experience adds another perspective to his learning.

He is already putting that knowledge to work. Jeff describes using what he has learned to shape his approach to the software development lifecycle. He also draws on it when helping clients understand AI’s benefits and requirements.

For Jeff, AI adoption involves familiar responsibilities: leading change, organizing teams, getting data right, and improving business processes. Learning how the technology works helps him consider the safeguards it requires:

Finally, my understanding of the safety guardrails from a deep, fundamental understanding of the technology is greatly improved.

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Quantic MSAIE Reviews: How is Akinsola Jeje applying Quantic MSAIE learning in healthcare?

Akinsola Jeje, known as Akin, is bringing his learning into the medical devices and healthcare industry. 

In his feedback on Quantic’s MS in AI Engineering, he explains:

I am currently deploying my knowledge from the program as I deepen my skills and domain expertise in the medical devices and healthcare supply and value chain.

He describes creating a knowledge engine and governance layer for a retrieval chatbot serving commercial and business teams. The work formed part of an innovation entry that he says earned an excellence award at his employer.

Alongside that practical work, Akin values Quantic’s flexibility, alumni network, and academic and administrative support. Through the Quantic Entrepreneur Club, he contributes as a technical researcher and writer. That involvement has connected him with current students and experts in the field.

His enthusiasm for his broader Quantic experience comes through in his Trustpilot review:

You can definitely say, I can’t seem to get enough! The programs are exceptionally curated, viable in today’s ever changing, dynamic and sometimes uncertain world we live in.

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Explore the Quantic MSAIE program

These accounts show how students connect what they learn with the work they want to do. Quantic’s MS in AI Engineering brings technical AI skills and business judgment together. It prepares professionals to lead and implement AI adoption in business settings.

To explore how the program fits your goals, start here:

• Program overview: Explore the program’s focus on AI adoption and its flexible, fully online format.
• Curriculum and projects: Learn about the applied learning approach, AI projects, and team capstone.
• Who the program is designed for: Explore the student profile and opportunities to connect within the wider Quantic community.
• Admissions requirements: Review entry requirements and find out how to speak with an admissions advisor.

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Final thoughts: Could Quantic MSAIE be your next step?

These students have different starting points, but each has a reason to keep learning. For some, that means serving clients with more confidence. For others, it means understanding a system well enough to build it, test it, and improve it.

Azeez Abubakar, a Quantic MBA graduate studying for Quantic’s MS in AI Engineering, offers another perspective. In his Trustpilot review, he writes:

The AI Engineering program has allowed me to build on my business background while developing more technical skills in artificial intelligence, AI systems, and emerging technologies.

What would you like to understand, build, or lead next? Explore the Quantic MSAIE program and consider how it fits the work you want to do.

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Quantic MSAIE FAQs

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