What kind of questions are typically asked in the UTN MSc AI and Robotics selection interview?
The UTN MSc AI and Robotics interview lasts about twenty minutes on a video call and blends a live coding task with questions on linear algebra, machine learning basics, robotics perception, your CV projects, and why you specifically want this program at UTN.
Your UTN MSc AI and Robotics interview is a focused, roughly twenty minute video call, not a casual chat. You will likely share your screen and solve a small coding problem live, then answer questions on math, machine learning, and robotics fundamentals. The panel also wants to hear you talk through your own projects and your reasons for choosing UTN.
What the Interview Covers
| Round | Focus Area | What You Do |
|---|---|---|
| Live coding task | Data structures basics | Solve a simple problem, explain logic |
| Math foundations | Linear algebra, calculus | Explain gradients, eigenvectors, matrices |
| ML concepts | Core theory | Discuss supervised vs unsupervised learning |
| Robotics basics | Perception, kinematics | Explain SLAM, sensors, motion planning |
| CV review | Your projects | Walk through a project you built |
How to Prepare
- Revise basic coding patterns in Python or C++ and practice explaining your logic out loud.
- Brush up on linear algebra, gradient descent, and the bias variance tradeoff.
- Review your CV projects in detail, including tools like ROS, OpenCV, or PyTorch.
- Prepare a clear answer for why you chose this program and what you expect from it.
My Advice
Pick your two strongest CV projects and rehearse explaining them in under two minutes each, since interviewers dig into whatever you list. Practice one live coding problem daily for a week before your slot, and if you get stuck on a concept, say so and reason out loud rather than staying silent.
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