

The university’s digital infrastructure is out dated. Students rely on ready-made CAD software, completely losing their engineering intuition. They can click buttons in a program, but they fail to understand the actual physics behind the digital models. On top of that, the university’s online platforms and servers are inherently fragile, regularly glitching and disrupting the educational process. Technology here has become a cheap substitute for deep learning, producing graduates with shallow analytical skills. At the same time, the traditional “old-school” method has degenerated into rigid, outdated bureaucracy. Forcing students to spend weeks on tedious, manual routine and hand-drawn layouts is ineffective. The global engineering industry automated these processes decades ago. This is not “building discipline” – it is a stubborn waste of time and energy that should be directed toward actual modern engineering challenges. Both sides are failing. One side offers a glitchy digital illusion, while the other clings to an obsolete past.
View moreThe university’s digital infrastructure is broken. Students rely on ready-made CAD software and AI shortcuts, completely losing their engineering intuition. They can click buttons in a program, but they fail to understand the actual physics behind the digital models. On top of that, the university’s online platforms and servers are inherently fragile, regularly glitching and disrupting the educational process. Technology here has become a cheap substitute for deep learning, producing graduates with shallow analytical skills.At the same time, the traditional “old-school” method has degenerated into rigid, outdated bureaucracy. Forcing students to spend weeks on tedious, manual routine and hand-drawn layouts is ineffective. The global engineering industry automated these processes decades ago. This is not “building discipline” -it is a stubborn waste of time and energy that should be directed toward actual modern engineering challenges. Both sides are failing. One side offers a glitchy digital illusion, while the other clings to an obsolete past.
View moreI graduated in Mechanical Engineering from Bauman, and it was a really rewarding experience. The program gave me a strong, in-depth understanding of engineering fundamentals, especially in math and physics, which helped me feel confident tackling real-world problems.
The professors are knowledgeable, and the university has a long-standing reputation of more than hundred and fifty years that adds real value to the degree. Looking back, I appreciate how much it shaped my thinking and prepared me for my career. .
View moreHello! I study in the direction of “Applied Informatics” at the MSTU. N.E. Bauman at the Faculty of Social and Human Sciences, I finish the third year. That immediately I want to say – very responsive administration. If something has happened, the dean’s office can handle almost any problems (within reason and honestly, of course), and there they will understand and try to help. Student initiatives are supported, allocate audiences for events, try to find people to help. There is a laboratory in which teachers try to help students publish scientific articles, so that later it would be easier to enter the magistracy.
Education is good, teachers are trying to select, looking at the feedback from students. Learning to program – the first course is now taught the basics to pull everyone up to roughly the same level, and then immediately object-oriented programming. We have already passed a whole bunch of everything (databases, operating systems, web-technologies – in general, everything that is needed). By the way, and on the methods of decision support was the course (popular nowadays neural networks and their analogues in the theoretical form).
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