MATLAB vs Python — which should I learn first for engineering jobs?

Learn both, but start with MATLAB if you're going into controls, robotics, or automotive. Companies like Ford, Bosch, and most aerospace contractors list it as a required skill, not a nice-to-have. Python is great for scripting and ML, but for model-based design you really need MATLAB and Simulink fluency. The certification gives you a concrete credential to put on your LinkedIn before you have work experience.

For anyone finding this thread later: the MATLAB is passable with consistent effort, even working full time. I studied 63 minutes a day for 13 weeks. The matlab practice test pdf kept me honest about where my gaps were instead of just drilling things I already knew.

Passed my PE and had to use MATLAB pretty heavily in my controls coursework — honestly, both of them are right and that's the frustrating answer. MATLAB is still the dominant tool in aerospace, automotive, and defense for anything involving Simulink, control system design, or signal processing. If you're going into those sectors, your professor isn't wrong. I watched classmates who skipped MATLAB struggle during internships at places that ran legacy simulation pipelines entirely in it.

That said, Python has genuinely eaten MATLAB's lunch in data-heavy roles — anything touching ML, sensor fusion with large datasets, or software-adjacent mechanical work. The difference comes down to what you want to do after graduation, not which language is objectively better. I'd learn MATLAB first just to satisfy your coursework requirements and get the fundamentals of matrix operations and control toolboxes, then pick up Python on the side. The syntax gap is small once you understand the underlying concepts.

The other thing nobody tells you: knowing MATLAB well enough to pass exams and knowing it well enough to use it at work are different bars. The exam stuff — solving ODEs, working with transfer functions, basic signal analysis — is a specific skill set worth drilling before you get comfortable. A matlab practice test pdf is actually worth running through just to see where your gaps are before you assume you've got it covered. I skipped that step once and it showed. Python can wait a semester; it's not going anywhere.

Honestly, I was in almost the exact same spot two years ago and I made the mistake of dismissing MATLAB because everyone in my friend group was hyping Python. Failed my signals and systems midterm pretty badly — not because I didn't understand the theory, but because I'd been doing my homework assignments with NumPy/SciPy workarounds instead of actually learning the MATLAB workflow. When the exam hit and I needed to write a Laplace transform or set up a state-space model quickly, I was fumbling with syntax I'd never properly internalized.

What changed for me was just accepting that these aren't really competing tools for where you are right now. Python is great, I use it constantly, but for control systems coursework and most signal processing labs your professors are going to throw at you, MATLAB is the assumed environment. The bode plots, the Simulink integration, the way transfer functions just work — fighting that with Python is a self-imposed difficulty penalty. I spent a few weeks grinding through practice problems focused specifically on the kinds of tasks that show up on exams before my retake, and it made a real difference in how confident I felt with the toolbox functions.

Learn both. But if you've got exams coming up that are MATLAB-based, prioritize that now and let Python be your side project. The job market question sorts itself out once you're actually in the field — plenty of roles use both, and the fundamentals transfer anyway.