Dont just prep for masters

Prep for the life
after Masters

Think beyond the LORs, the GRE score, the visa..
Think of being a developer

Life of a MS Student

75,040

graduates go to US alone to pursue Masters in Computer Science each year.
Four popular destinations where most students do masters are:
USA,Canada, Germany and Australia
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What no one tells you to prepare for before masters

We searched for what are the tough aspects of Masters Abroad that people experience (probably the aspects people rarely talk about) on quora, and this answer although pessimistic and about masters in the US, was the most voted answer, here are the snippets:

What People Should Actually Talk About

What We Think You Should Actually Prepare for Masters


  • To be on top of your class..

  • To get selected for a good research assistantship in college..

  • To intern at Amazon, Google, Facebook...with a good work profile..

  • To get a Preplacement offer & to eventually working doing what you love with a good package..

  • To beat competiton everywhere


  • All it needs for you is to be a good developer

How can Swabhav help you

Prepare for Masters Ahead of Your Masters

A Masters Program Usually is a 9 - 12 course program that includes 5 core courses & 4-7 electives
  • Core: Algorithms
  • Core: Programming (Python, Intermediate Python, C, Java, Swift or Advanced Programming)
  • Core: Computer Systems, Networks and Architectures courses
  • Electives: Adv. C++ | Data Analytics | Java | IOS | Python | Web Dev
  • Electives: Android App Dev | App Security | Cryptography
  • Electives: Software Engineering I & II | Bioinformatics |
  • Electives: Backends for App | Mobile App | Big Data
  • Electives: Cloud Computing | Blockchain | Machine Learning | NLP
  • Electives: Computer and Network Security | Full-Stack Mobile Development | Scientific Computing
  • Electives: Object Oriented Programming | Architecture: Patterns, Technologies, Implementations
  • Electives: Numerical Methods | Systems Programming | Systems Design

Ace these courses before the rest of your class:


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Algorithms I Popular

  • 20 Lessons
  • 30 Hours
  • Level: Intermediate
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Algorithms II Popular

  • 20 Lessons
  • 30 Hours
  • Level: Intermediate
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Data Science and Machine Learning Popular

  • 20 Lessons
  • 30 Hours
  • Level: Intermediate
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Introductory AI, Big Data and Cloud Popular

  • 20 Lessons
  • 30 Hours
  • Level: Intermediate
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Object Oriented Analysis and Design PatternsPopular

  • 20 Lessons
  • 30 Hours
  • Level: Intermediate
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Clean Code and Refactoring

  • 20 Lessons
  • 30 Hours
  • Level: Intermediate
profile

Deval Vora

  • Deval V, Backend Developer | MS Graduate
How Swabhav Helped:

Github: I had no clue what github was and had no idea how important was it. But I was taught it anyways, I initially felt it was boring and unnecessary extra work but when I came here it was the basics of every tech job and you cannot work without it. I was glad that I had my github profile already setup and could give its link while applying for jobs and I already knew how to use it instead of learning from scratch. Github is the most important thing that I havent heard if any other coaching class teach.


Projects: The projects that I did at swabhav taught me almost everything of that language right from the basics like let, var, const to advanced concepts of promises. Also the android project that I did was worthy of resume projects. I had no projects to put on resume before I joined swabhav. The project structure and the progression of the complexity of projects is really good.

Languages: Right from basic language java to advanced web tech languages. I got a chance to learn alot of modern languages which gave me an extra edge over the just graduate people that were doing masters. When I was finding a tech on-campus job, I got more calls then other people since I already knew the recent languages like angular, nodejs, react, android and I had projects to show their usage.


Design Patterns: Rather than just learning coding swabhav taught me to write code in the right way. Interviewers were really impressed when I explained that I know the design patterns (factory, facade, solid patterns, observer, etc.) and it ccertainly made a better programmer.


Teaching: Kannan sir almost always knew all the answers to my doubts and taught me in the best way and I really liked how he used to explain everything initially as a class diagram and then told us to implement it. This is a round(designing round) in most of the companies interview process. So knowing this really works. And I would recommend to put more stress on this.