The 2022–23 MCA academic year was when I built the foundations that everything since has rested on. Data structures, algorithms, database systems, operating systems, computer networks — the unfashionable, unglamorous core of computer science that most self-taught developers have gaps in.
I'm a practitioner by instinct. Left to my own devices I'd have optimised for shipping code rather than understanding the theory underneath it. Structured academic programmes force you to slow down and fill in those gaps — and that slowdown pays dividends in ways that aren't immediately visible.
The clearest example: understanding B-tree indexing at a conceptual level changed how I design MongoDB schemas and query patterns. Understanding TCP flow control changed how I think about WebSocket connection management. These aren't things I actively recall as facts — they're intuitions that now inform everyday decisions.
The other thing the year gave me was proof that I could compete academically at the postgraduate level while simultaneously doing professional work. Topping the class wasn't the point — the discipline of sustained performance across two demanding domains was. That confidence is something you can only build by actually doing it.
If you're an experienced practitioner considering formal education: go in with specific gaps to fill rather than vague upskilling goals. Focused study of what you're actually missing pays far more than broad coverage of things you already know.