What subjects to look for in a CS masters degree in USA?

Question

I am switching from EEE to CS and am curious to know as to what subjects in CS would benefit me for employment and in learning relevant topics for today. #cs #careerswitch

A D · Answer

Hi,
Did you get admission and you are looking for selecting courses at the university 
or 
are you yet to apply and are looking to improve your profile to get an admit?

A D · Answer

Hi,
The factors that affect your chances (from highest to lowest weightage) for a tech degree are-
Bachelor's CGPA/percentage, GRE, TOEFL score, Projects accomplished(profile of a student for the degree, competitions won if any, research work if any. certifications won't have that much impact 
I am so glad you are reaching out this early to start your study abroad journey. I would say that - make your profile fit for a particular field like Ai, cloud, security or any other field that you might be interested in. Let's say for instance you are interested in AI.
1. Start with python, learn Github (very imp), upload your projects on github. A lot of people just upload the projects to GitHub and leave them. Do not do this. Make a front end for it and publish using GitHub pages or any other publishing tool. 3-4 published useful projects are better to show than 6-7 non-published projects.
2. Compete in Kaggle competitions as much as possible.
3. Andrew Neg's AI Coursera certifications are good to gain knowledge, university of Washington AI specialization, Stanford ML, deep learning specialization by deeplearnin,ai. Not necessary to complete all of these. But it's good to have on a resume. Udemy has a few good courses also but i don't remember them. Start with Udemy and then move on to Coursera.
4. Write an AI research paper in a reputed institution like IEEE or Springer. Give paper conference in IIT level institution. USA universities will look for research if any in the profile of an applicant.
5, Complete at least 1 internship in the AI field in the summer. If are from India, you will have to search for an internship at least 6 months early to avoid the competition.
6. For your final year project, an industry AI/ML project is better than an in-house project. You will get to solve real-world challenges.
7. Try to get as good grades as possible in data science, AI, and ML subjects. This will not only help you to get an admit in the AI field degree but also help you to get a TA or RA in the same field.
You can follow similar steps for the field you might be interested in. Lastly, Applying early for your master's degree would be best. But if your profile is expected to be improved drastically in a month or 2, then waiting is also a good decision. Example - If you are expecting a promotion then wait. DO NOT WAIT till December. You will face problems like lagging, document uploading problems, and email replies from the universities that would take more time. Applying early in the 1st week of application acceptance will not only increase your chances of getting funding but also increase the chances of getting an admit. Universities tend to be lenient at the start of application acceptance and not so much as you approach near the deadline.
Hope it helps !!! Good luck !!