Can I manage to do both: Computer Science and Research in Physics?

AI Thread Summary
The discussion centers on a physics graduate from Delhi University aspiring to become a theoretical physicist while also expressing interest in computer software engineering, particularly in machine learning, artificial intelligence, and data science. The individual is seeking advice on how to balance these interests and manage time effectively while pursuing graduate studies in the U.S. or Europe. A key point raised is the importance of choosing a specific direction to avoid sacrificing depth for breadth in skills and knowledge. It is suggested that the individual should apply to graduate programs that align with their interests and make decisions based on the offers received. Additionally, there is a concern about the potential gap in time since completing undergraduate studies and how that might affect graduate school applications. The discussion emphasizes the need for a focused approach to career aspirations in both theoretical physics and computer science.
rahaverhma
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I'm a physics graduate from Delhi University, India. Aspirant of Theoretical Physicist . Right now , cleared Clerk in Govt. of India exam. About to get Job. I want to go for some top notch college in USA/Europe for Graduate physics. But also interested in Computer Software Engineering. Want to study Machine Learning + Artificial Intelligence + Data Science ( all 3 if possible because it complements , but will be happy with any 1 out of first two if only one is possible to study ). As I want to work in Product based company or start a Start-up. So, what should I do if I want to explore and advent both , the research in Theoretical Physics, and Engineering in CS. How the time should be managed ? Where should I go ? Etc...
 
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So you want to be a theoretical physicist, data scientist, computer software engineer working in a start-up?

I'm not sure how to say this gently, but seeing as how you've completed your undergraduate studies, it seems the time has come for you to chose a specific direction. Juggling many different options is great for a certain amount of time, but eventually you end up sacrificing depth for breadth. It's hard to get really good at something if you're not working on it full time.

One means that people use to make these kinds of decisions is simply to survey the specific options available to them. If you're serious about pursuing physics, apply to graduate school and find a project to work on that you love. Find a computer engineering program that will accept physics graduates and apply. Similar for a data science program. Then make specific decisions when you have specific offers on the table.
 
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Choppy said:
So you want to be a theoretical physicist, data scientist, computer software engineer working in a start-up?

Here's what he wrote 4 years ago:
rahaverhma said:
No, sir. I want to be like Alan turing. Physics and mathematics (which already I am with) and computers. It is because I am self-motivated in computers too. I mean, a computer engineer, too.

He kind of lost interest in the thread. Indeed, he loses interest in a lot of the threads he starts.

OP, how long have you been out of undergraduate? Two years? Four? An issue with grad school related to what @Choppy wrote is when you write "I want to go to grad school to study XYZ", you will need to havea good answer to "then why did you wait so long?"
 
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