Admissions Computational physics career change

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Choosing between computational physics and data science presents challenges for those with a computer science background and limited physics education. Many Canadian universities require a strong foundation in physics for graduate programs, often necessitating advanced undergraduate courses in areas like thermodynamics, quantum mechanics, and mathematical methods. A single bridge year may not suffice to meet these prerequisites. While a data science degree can incorporate physics courses, it typically does not equate to a computational physics degree and may limit opportunities in physics-related jobs. Pursuing a career in physics without a relevant undergraduate degree is difficult, as most physics PhD graduates face competitive job markets, often outside academia. Exploring alternative pathways, such as collaborations in physics projects or seeking interdisciplinary programs, may provide some options for involvement in the field.
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Hi, I am confused about which to choose between computational physics and data science. Actually I am a computer science undergraduate and I have 4 years of experience in data mining. I discovered my interest in physics, so I planned to do a graduate degree with the focus of physics. But the problem is my ug is 3 years and most of universities don't accept my degree for computational sciences but they are okay to admit me into data science program.
My questions are, so is there any option of studying extra year in university to bridge the knowledge gap for computational physics? or can i choose the option of data science and take physics papers along with it??
If I do a data science program along with physics is it equivalent to computational physics?? would I get physics related jobs?
Is there any other options available to pursue my career in physics?
I am looking for universities in Canada.
 
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To do a graduate degree in physics in Canada, you pretty much need an undergraduate degree in physics or it's equivalent (for example, physical chemistry, or engineering physics).

Doing a single "bridge year" will often not be enough, but a lot will depend on what courses you've done up until this point. For example, your course work would need to include advanced (ie. third or fourth year) undergraduate courses in thermodynamics and statistical mechanics, classical mechanics, electrodynamics, quantum mechanics, an advanced laboratory course, as well as the necessary mathematics up to and including a mathematical methods course. These courses have prerequisites, so it's usually not possible to just pick up a couple courses and then apply.

A "data science" program is not going to get you into physics from a professional point of view, unless perhaps you get involved as a supporter or collaborator with a physics project that needs a data scientist. Even then, someone else will be doing the physics. You would be doing the data science. It's also important to remember that most people who graduate with a PhD in physics don't end up with an academic career in physics. These days the PhD is more-or-less necessary, but far from sufficient.
 
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thanks choppy, the reason I want to pursue physics career is I developed interest in it. I have been spectator in physics for a particular period of time, but now I want to involve myself in the subject. I feel I discovered my passion towards physics ,I would feel very bad if I don't do anything in it. I cannot afford to start over from the beginning. So I thought by doing a computational physics degree(some programs allow math and computer science graduates) would help me to get a career in physics.

Do I have any other option of doing physics or working in physics field??
 
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