What should I learn now if I want to get into a top tech job after doing MS CS?

University Discussions University of Florida
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I’m planning to do my Masters in CS from University of Florida or somewhere like that in future… and I really want to work at Google or Amazon or even Microsoft. What should I be learning or doing now itself so I don’t feel totally behind when I reach there?

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If you’re planning to get a top tech job after doing an MS in Computer Science, focus on mastering the following:

  1. Strong Core CS Fundamentals:

Data Structures & Algorithms – Competitive coding platforms like LeetCode, HackerRank, or Codeforces are great.
Operating Systems, Computer Networks, Databases – These come up in interviews and are vital for system-level understanding.
2. Systems Design (for senior roles or big tech):

Learn how to design scalable systems (web apps, databases, etc.).
Use resources like Grokking the System Design Interview, or YouTube channels like Gaurav Sen.
3. Programming Proficiency:

Be strong in at least one language (C++, Java, or Python).
Know how to write clean, optimized, and maintainable code.
4. Projects & Real-World Skills:

Build real, deployable projects (preferably with GitHub repos).
Contribute to open-source if possible.
5. In-Demand Tech Skills (based on your interest/target):

For Software Engineering: Backend (Java/Spring, Node.js), Frontend (React, TypeScript), DevOps, Cloud (AWS, GCP, Azure).
For AI/ML roles: Machine Learning, Deep Learning, TensorFlow/PyTorch, MLOps, and a solid math foundation.
For Systems/Infra roles: Distributed systems, networking, C++, Rust, OS internals.
6. Internship & Networking:

Try to land good internships during your MS — they often convert to full-time offers.
Leverage LinkedIn and alumni connections actively.
7. Interview Preparation:

Study patterns from previous interviews at Google, Amazon, Microsoft, etc.
Mock interviews (with peers or platforms like Interviewing.io) help a a lot

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Broo same here I’m also looking at University of Florida MS in CS and all these big tech goals. From what i’ve heard people say you need to be strong in DSA (data structures and algos), start now with leetcode or coding ninjas. Also learn a language well, like python or java. Helps later when you apply for internships.

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@Ankitkumar72 Which companies can I intern with to get maximum exposure?

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Hey, @vik_aasss If you’re aiming for big tech roles after a master’s in CS at a place like the University of Florida, the best thing you can do now is start building a strong foundation in data structures and algorithms since those are the most tested skills in interviews. Pick one main programming language, such as Python, Java, or C++, and get very comfortable with it, while also practicing coding problems regularly on platforms like LeetCode or HackerRank. Alongside this, work on meaningful projects in areas like web development, cloud computing, or AI/ML, and host them on GitHub to showcase your practical skills. Learning system design basics, databases, and cloud platforms like AWS or Google Cloud will also help you stand out. Try to gain some internship or open-source contribution experience before you go, as that shows teamwork and real-world application. Finally, build strong communication and networking skills so you can explain your thought process in interviews and connect with seniors who can guide or refer you. This way, when you arrive for your master’s, you’ll already be ahead and can focus on internships and networking rather than just catching up on fundamentals.

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hey @vik_aasss if you’re aiming for UF (or similar) and dream of Google/Amazon/Microsoft, you’re already thinking in the right direction. Here’s what you can start doing now:

  • Get strong at DSA – Big tech interviews are full of it. Start with LeetCode or GFG and solve problems on arrays, trees, graphs, DP, etc. Even 5–10 questions a week adds up. :backhand_index_pointing_right: LeetCode is the best place.

  • Revise CS basics – OS, DBMS, Networks, SQL. These always come up. :backhand_index_pointing_right: CS50 lectures on YouTube are fun and helpful.

  • Build projects – Don’t just learn, make stuff. A cloud app, a small AI project, or even a web app. Push it all to GitHub.

  • Learn tools – Git/GitHub, cloud basics (AWS/GCP), and one backend language/framework (like Python Flask/Django or Node.js).

  • Network & practice – Be active on LinkedIn, try open-source, or small freelance gigs.

Basically, balance DSA for interviews + projects for resume. By the time you land in UF, you’ll be ahead of the curve.