Help me, is 28 too old to go back to university ? My story

I am around the age of old you. In a weird way your post just motivated me to pursue what I want(MS). Thanks for this thread. Guess you have still a plenty of time to go for Uni
 
Meh... just learn the skills you need to take over the internet and bring in that cash flow.

No degree/job needed. Plus you don't need to deal with bosses, commutes and projects you have no interest in.
 
I say go for it, my mate turned 30 this year and a few months ago started a course at uni for the first time, it's not uncommon nowadays and degrees are always gonna be valued on paper.
 
I wish to thank everybody for your thoughts, it definitely helped me a lot, I wish you all the best in your future :)
 
There is nothing wrong with return to college at any age.
It's never too late to do what you want to.
 
Bro, don't be like that. 28 is nothing.

Life is too short. If you want something, try to earn it. Don't look at any metrics, the only thing that counts
is the motivation to achieve your goals.

A few years back (in my college time) there was this dude, sitting there with his 39 years and just wanted
to archive some new life goals. Had already kids/wife n' shit. He was even older than one of the professors.
It was strange at first but this dude showed us that it's absolutely never too late.

After we graduated he landed a pretty good job. Twas a goddamn happy ending.
 
yeah ppl like to trash talk university cause everybody is obsessed by the idea of dropping out and making millions but it's not true bill gates drop out yeah but he was already above any one in the IT field and he has been programming since he was 13years old same goes for Zucc and also Elon doping out of university is a bad idea but the bright side here is that you still young and IT industry demand is increasing and you can learn alone + university so go ahead pursuit your goals
 
Not too Old, there is nothing wrong in going back to university. In my college time my friend is 31 when starting to take college again.
The question is more do you ready to commit to college?
since you alread earning from IM, why not spend time to scale it up, or diversify it?. More egg in more basket is always the best.
In my opinion it's better to spend your time improving your IM and make it bigger, IM have a lot potential. it's better than spending 4 years in University for title that use is for finding job
(meaning starting your carreer From 0). The purpose for university(degree) is to start a Carrer, why bother restarting? when you already have a Carreer. excep you have other purpose to take college again.
 
I like to see these comments, your thoughts are really helping me, I see that I was stupid to doubt if 28 years old was too old, seeing so many people studying again at 30 and later too :)
 
Are you sure you're not just tired and want a nice excuse to relax for a couple of years?

Getting work on the CS field is heavily dependent on skill and not papers. Building said skills and working towards a paper is the best option, especially since you feel that you're missing the paper.
 
28 is not too old to get a degree in computer science, but the most important thing is that you may be a professional in computer science without a university's diploma . It's 2020.

You are right, but it's a life choice and if I dedicate my life to this field, a paper is always good for it, like someone said, my 50 years old me will thank my 28 years me.

Are you sure you're not just tired and want a nice excuse to relax for a couple of years?

Getting work on the CS field is heavily dependent on skill and not papers. Building said skills and working towards a paper is the best option, especially since you feel that you're missing the paper.

It is a good question that I asked myself. I know that it is dependant on the skill but to have a good place of work, papers matter too, I see in Europe, the pay is much higher for people who have a degree, and it's not very transigent with this. But to reply to your question, I don't want to be the guy that only study the course material, be satisfied with it and not go deeper and more so if finances are not a very big issue.. Like you said building skills and working to have the degree is the absolute best and would make me feel more secure with this background to support me. Of course I can study computer science by myself, and AI too (even if someone said that it is impossible to land a job in AI without a paper, I have no idea but will admit it's true), but it's a matter of security... What other options I have, study all by myself ? Doing a bootcamp? I researched about this and really think that the best for me is to have a structure + paper security + discipline to go deeper in my free time to study skills that are not taught during the degree but required by employers.
 
@Willyfish

So, let me clarify something about the IT sector.

Demand for good developers is high as hell. The keyword here is good. So as long as you take care that part, nothing else matters. You can make a lot of money in this sector iff (that's "if and only if") you push yourself to be good at it. Bad devs don't make money and mediocre devs just survive better than mediocre people in other sectors. But if you're good, you have great prospects.

With that clarified, there are many areas of concentration and things differ a bit. For example, if we're talking about DevOps, there's basically no need for any degree (it's useless to what you'll do). On the other hand, if we're talking about data science, that's not true at all. But still, there are 3 kinds of "data science" work. There's the low-level data cruncher, make graphs, click click on tools one. As you might imagine, there aren't many requirements here. On the other hand, there's the actual data **science** niche where you absolutely positively need to understand statistics and math in general. It's not easy to solo that, a degree is very much needed, especially a masters. People tend to do <BS in something relevant to computers> + <MS in data science> for that pathway. And there there's the middle road of people who've learned how to use Keras / TensorFlow and write scripts to scrape/clean data. No real math required here either.

So, all the verbosity aside, the main point is that getting a degree is the LEAST of your worries. The vast amount of effort you need to spend on is on your studies outside of the degree, in matters that are relevant to the specific sub-niche you want to find work in. So, do both.
 
thank you for the very detailed reply
@Willyfish

So, let me clarify something about the IT sector.

Demand for good developers is high as hell. The keyword here is good. So as long as you take care that part, nothing else matters. You can make a lot of money in this sector iff (that's "if and only if") you push yourself to be good at it. Bad devs don't make money and mediocre devs just survive better than mediocre people in other sectors. But if you're good, you have great prospects.

With that clarified, there are many areas of concentration and things differ a bit. For example, if we're talking about DevOps, there's basically no need for any degree (it's useless to what you'll do). On the other hand, if we're talking about data science, that's not true at all. But still, there are 3 kinds of "data science" work. There's the low-level data cruncher, make graphs, click click on tools one. As you might imagine, there aren't many requirements here. On the other hand, there's the actual data **science** niche where you absolutely positively need to understand statistics and math in general. It's not easy to solo that, a degree is very much needed, especially a masters. People tend to do <BS in something relevant to computers> + <MS in data science> for that pathway. And there there's the middle road of people who've learned how to use Keras / TensorFlow and write scripts to scrape/clean data. No real math required here either.

So, all the verbosity aside, the main point is that getting a degree is the LEAST of your worries. The vast amount of effort you need to spend on is on your studies outside of the degree, in matters that are relevant to the specific sub-niche you want to find work in. So, do both.


Thank you for the very detailed answer, quick questions as I see you are very knowledgeable in this field,

For AI, it is require to have an extreme level or math skills, what are the other essential skills to acquire?

Same question for IOT? If you can enlighten me :)
 
@Willyfish

The following sketch is an oversimplification, but we can say it depicts the general idea.

1596739483550.png

For IOT, it depends. Nowadays, you can do IOT with devices that are powerful (like the Pi) and run Linux and so mostly every language you like. But there are applications (like wearables) where you are limited to less powerful stuff, so there you'll have to go a bit more low level in the choices of languages (and OSes). And if you're soloing the project, you'll need some hardware knowledge, although a lot of things are commoditized these days (you buy, you plug, they play without much fuss).
 
@jazzc

I research a little bit more about this picture as I didn't understand it first :D It makes sense.

Thanks for the clarification :)
 
The world is so changing right now and I feel like universities will become really useless.

You should just learn a skill. Computer science? Just go learn Python.

University is just a way to procrastinate your 4 years of learning some skill. Unless you want to be a surgeon or a physicist or biochemistry or whatever. For this, you should go to university.

But for modern stuff like programming or digital marketing - it's useless. Because I feel like these in these industries it's all about the knowledge you have. You can get experience by building your own projects, then show it to people via LinkedIn or Upwork and connect with people. Spend some money on Facebook ads on your own products and get good numbers to have it as a testimonial.

That's how I feel about this subject.
 
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