[aithoughts]

This may or may not scale but I've been lucky to be part of a startup program that roughly matches your description of a "better option". It's a 2-year program; I was, and still am, part of their experimental first class of students. So far I've gone through 9 months of entirely CS study, and I was even placed in an internship working in Mountain View, and without a college degree.

I have never held a dev job before, but I’ve gotten to doing some pretty serious and nuanced coding (all the way down to memory management and writing in C). They’re a really great team of people, their unofficial motto is “Google it”, and RTFM, and their program is called Holberton School.

I really hope it succeeds.

[Kalium]

That does sound very promising. I, too, hope it succeeds.

How much time have you spent on set theory or discrete mathematics?

[aithoughts]

None. At least not on the first 9 months. Mostly it has been about performance, data structures, algorithms, and time complexities.

So far, the first part (9 months) the focus is mostly on practical project-based learning and skills for developers. But we are encouraged to learn on our own. I certainly know about uncountable sets and the Axiom of Choice, but how much do I really need for the problems I am solving on my day to day?

[Kalium]

Thank you for answering my question.

Unfortunately, I must inform you that that is the answer I feared. There's a strong tendency for would-be "better options" and bootcamps to discard CS fundamentals and theory in favor of practical education. I am of the opinion that this sacrifices long-term practical utility for short-term utility. While seemingly of obvious benefit to those seeking jobs in the not-so-distant future, this is a penalty that mounts later in careers.

Odds are very good that your entire career will not use whatever tools this program has taught you. Odds are similarly good that your time as a junior engineer won't hinge much on abstract mathematics. But odds are very good computers will run on the same mathematics in twenty years.

Even today more interesting work (cryptography, geospatial, distributed systems, graphics) hinges on the sort of mathematical underpinnings that are generally found in a full collegiate computer science education. Of course, all of this can be learned independently, but most individuals struggle to learn crypotgraphic mathematics in such a way.

So really, it depends a great deal on what you want to do with your career. How much you know about how computers work will do a great deal to determine how much flexibility you have down the line. I have had jobs where reasonably complex synchronization problems involving work-stealing and partial orderings over a network were pretty common, and other jobs where `rails g ...` was the most complex thing I needed to know.

[aithoughts]

Well, like you said, it really depends on what you'll be doing. Granted, there are different paths one's trajectory will take, and you won't know them in advance.

On the other hand though, I wouldn't presume to write my own cryptographic protocol without having the fundamentals myself. Wouldn't you say that it's actually reasonable to learn this on your own? There are so many options, paid, or free, that can help you with this. You could take a Coursera class, or follow an open source curriculum like someone said in the comments down below.

You did say "most individuals" struggle to learn in such a way, but the argument can be made that individuals studying cryptographic principles are not "most people", which, if not intelligence, shows a special kind of perseverence and dedication that will also differentiate them in self-study. I wouldn't say what you're saying is immediately obvious.

[Kalium]

You're right! The world contains a wondrous bounty of instructional materials the curious might use to attempt to edify themselves.

You're also right that the argument can be made that any individual who might seek self-study of advanced mathematics is not "most people" as I described previously. To that subject, let me offer a different formulation: most individuals attempting to study advanced mathematics independently struggle to learn effectively in such a way.

A non-zero number of people have set about doing what you describe with a special kind of perseverance and dedication... and wound up making rather severe mistakes. CryptoCat comes to mind. Perseverance and dedication failed to differentiate them. You may be different! It's very possible! But perseverance and dedication should not be confused for a rigorous and rigorously evaluated course of study. This becomes a significant difference when questions of scaling arise.

The world is full of options to help you learn, and I would not dissuade you from doing so. I just want you to be aware of the limitations likely to be imposed by a given educational approach.

[aithoughts]

As a percentage, how many US colleges would you say are excluded from the opportunities provided by "rigorous course of study"? Would you say you could get this kind of rigorous study at any university? If not, how many (as a percentage of all undergrad colleges)? Is this scalable/sustainable for the entire population?