Does all computer science research involve heavy usage of mathematics? I am starting my graduate studies in computer science this year and am confused as to what quality research (some new innovation or discovery) domain I would choose specifically amongst virtualization, distributed computing, containers, and/or blockchain.

My main issue is that I understand but am not interested in algorithms and their efficiencies. Similarly, I can understand my undergraduate level mathematics but that does not interest me. I have good knowledge and understanding of operating systems, virtualization, and containers concepts.

I have researched regarding this online and came to know people normally only compare out the efficiency of one algorithm over another in problems of memory sharing, process switching, and other similar problems; is there any other method or means to do something new in the field of cloud computing, containers or blockchain?

It would be quite helpful if any expert(s) from these domains could enlighten me regarding as to what type of research is currently going on in these domains and how research work in these domains can be done (while staying away from algorithms and complex mathematics).

Thanks to all those who answered and commented. Answering some comments and to give some more context to my question: 


I am looking to select my research area from the broad domains of Cloud (virtualization and administration), DevOps methodologies and tools (optimizing workflows and processes), Containers technology (for example dockers and kubernetes), and Blockchain optimization ( I am aware this one would involve complex algorithms).
I'm not looking to write PHP scripts or JS (I know that is engineering). I personally dislike front-end scripting. Some of my projects include setting up a private cloud infrastructure for a company in an internship, writing shell scripts for CI/CD purposes and creating a custom RHEL ISO which already has preinstalled software (no, not templates). Basically, I am proficient in Python, bash shell, Java, C and have a good understanding of how OS, Cloud and IT infrastructure generally works. You can say I am interested in the data center or infrastructure optimization.


So, my question's main perspective is: I find it hard to believe that computer science research (at least development of new techniques, tools, and platforms) is impossible without deep knowledge of mathematics and algorithm designing (I may be wrong but that's the point of the question). Is there established research work or progress done in these domains that do not involve very complex usage of algorithms and mathematics like integration, differentiation and such. Please note, I am trying to avoid complex usage and modification of algorithms and its maths. I am interested to discover methodologies of such research (I am hardly able to find much on the Internet).
The sad truth is that you absolutely don't need CS for most practical programming tasks.

But without a CS degree, you will have nearly zero chance for the better programming jobs.

Furthermore, without a high-level math/cs knowledge, your mental skills remain significantly under-developed, compared to your own possibilities or to the ones who actually got this degree.

The sad truth is, that the job of a programmer, the ability to write a program what a customer pays for, is hard, but it is an absolutely different type of knowledge, like to know the math of the General Relativity. This truth is so sad, so catastrophal, that you will likely spent some decades of your life, whining on it. But it is the truth.

CS, its math, yes it is such a knowledge. For example, to understand, why there is no such thing as "best compressor" (more exactly: there is, but there is no program what could implement it), is a similarly complex and interesting knowledge, like cutting edge physics. But you absolutely don't need this skill to be a well-going programmer selecting freely between well-paying jobs.

This is how the world works. You can fight it, you can whine on it. I did both of them, decades long.... and I never became a scientist, only a programmer.

These fights and these tears are yet before you.

My advice would be this: learn that math, and get your degree. So:


you will fight
you will whine
you won't ever use it
and you won't be ever a scientist.


But


you will be a better man
you will be a smarter man
you will be able to choose freely between well-paying programmer jobs.


Believe me: if you do this now, you will be pride for that in your whole life. Despite the lifelong pain of your never reached goals.