what degrees/careers should i go into if i wanna make hella bank? (1 Viewer)

[jane1820]

Data scientist:
can pay a million https://www.seek.com.au/data-scientist-jobs?jobId=87578517&type=standard
Or just 200k if you want sydney https://www.seek.com.au/data-scientist-jobs/in-Sydney-NSW-2000?page=4&jobId=88056130&type=standard

 

[cossine]

Data scientist:
can pay a million https://www.seek.com.au/data-scientist-jobs?jobId=87578517&type=standard
Or just 200k if you want sydney https://www.seek.com.au/data-scientist-jobs/in-Sydney-NSW-2000?page=4&jobId=88056130&type=standard

Possible yes, however at the moment there is no job shortage involving data science or data analytics. This may be something worth considering. However if you work hard you can probably make it work.

https://www.jobsandskills.gov.au/data/occupation-shortage/occupation-shortage-list

 

[kkk579]

is there a reason actuary atar requirement much higher than engineering

I think its cos the cohort size is relatively smaller, they accept less ppl

 

[idkkdi]

okay thanks - as someone who attends a selective school everyone and their mum is picking actl which is why i'm iffy (what if it gets oversaturated by the time we graduate and the job market’s flooded? feels risky banking on it even though it sounds like a solid degree right now)

actuarial field is alrdy oversaturated. u get the degree (proof ur smarter than the avg comm student) and go for finance jobs

if your role as a solicitor isn't intellectually demanding, you either work in conveyancing/migration/construction etc. or you're a shit lawyer

can u elaborate on this part. from what ive seen theres a lot of mind numbing bundle-collating/discovery/dd/contractual review at junior lvls. even a lot of correspondence etc is really just management/admin-esque and not exactly intellectual. seems like giving advice/strategy is where that intellectual demand comes in but how much of a job is that really pre-SA lvl. also out of curiosity how does one justify a legal career on the transactional side over eg IB

i've heard - and is it true that you need good connections to make it big? i don't have any family / family friends in law (not that i'm aware of since my family isn't very social unfortunately) so i'm wondering if that puts me in a big disadvantage

making it big anywhere comes down to how much money you bring to the table. u can alrdy have clients via family/connections etc or get them yourself

ooh that's quite interesting. why do you suggest this instead of doing actl?

actl/cs should place similarly into those positions

is there a reason actuary atar requirement much higher than engineering

engineering lacks demand from hs students

 

[r25nd]

Possible yes, however at the moment there is no job shortage involving data science or data analytics. This may be something worth considering. However if you work hard you can probably make it work.

is this the case even if i were to go work in somewhere like perth (as shown in the listing?)

 

[gammahydroxybutyrate]

actuarial field is alrdy oversaturated. u get the degree (proof ur smarter than the avg comm student) and go for finance jobs

can u elaborate on this part. from what ive seen theres a lot of mind numbing bundle-collating/discovery/dd/contractual review at junior lvls. even a lot of correspondence etc is really just management/admin-esque and not exactly intellectual. seems like giving advice/strategy is where that intellectual demand comes in but how much of a job is that really pre-SA lvl. also out of curiosity how does one justify a legal career on the transactional side over eg IB

making it big anywhere comes down to how much money you bring to the table. u can alrdy have clients via family/connections etc or get them yourself

actl/cs should place similarly into those positions

engineering lacks demand from hs students

e.g. if you're collating a tender bundle for trial, you need to know the background of the case, what facts are in dispute, and what legal issues are going to be contentious. the evidence you are putting in is the evidence that is most favourable to your clients case and most damaging to the others. you need to be applying the rules of evidence, noting the document may be hearsay or inadmissible opinion etc. and picking a choosing from the lens of what is relevant to the matter and what things will actually need to be proved. for discovery, you are applying similar forensic filters, working out what are the implications of the disclosure, what points you can grab onto and make a case out of, what information is relevant and what can be ignored. contractual review you are thinking about what the proper construction of each clause is, are there any possible loopholes that need to be closed where circumstances would arise and a particular clause isn't worded properly and would screw your client over, or based on your knowledge/experience working out what grounds aren't adequately covered and how to word them to close out any loose ends. i would say if you're doing your job properly it is generally quite intellectually demanding, however, this is obviously contingent upon what area of law you work in, and at what firm you work in. i've heard that at some of the bigger firms as juniors, you don't get trusted with anything outside of e.g. plugging details into pexa for a conveyance, which clearly isn't very intellectually engaging. but i've found at least if you have a good grip on the law, attention to detail and a keen eye, at some point people will begin to ask for your input, and if you keep having valuable things to say, it doesn't take long before you're trusted with more engaging things (subject to supervision ofc). in any job you have to deal with boring and mind numbing shit for a while when you're getting a hang of things and learning the ropes.

 

[jane1820]

Possible yes, however at the moment there is no job shortage involving data science or data analytics. This may be something worth considering. However if you work hard you can probably make it work.

https://www.jobsandskills.gov.au/data/occupation-shortage/occupation-shortage-list

i mean, it is high demanding and only three yr in uni, SURELY you can quickly get a job after graduating w your degree before the demand falls

 

[v.tex]

Become a mining engineer. Thats what im gonna do. Grad salary is very good and you can easily get hired as no one does it.

 

[idkkdi]

i mean, it is high demanding and only three yr in uni, SURELY you can quickly get a job after graduating w your degree before the demand falls

i think demand might recover a bit by then but right now its very bad across the board, with cs (which would probably include data science) being especially bad

 

[idkkdi]

Become a mining engineer. Thats what im gonna do. Grad salary is very good and you can easily get hired as no one does it.

apart from health concerns and maybe being in the middle of nowhere, this does make bank

 

[jane1820]

i think demand might recover a bit by then but right now its very bad across the board, with cs (which would probably include data science) being especially bad

ai will never replace data science tho
im SOLELY talking abt data science by itself, not data science embedded in computer science
if anything, the rise of ai will only lead to a rise in data scientists/analysts, its a proportional linear relationship not an inverse

Data Science Is Dead (Again): Why the Role Keeps Evolving, Not Disappearing

Data science isn’t obsolete — it’s shifting. Learn how AI changes workflows, what skills still matter, and where human oversight is…

medium.com

Why AI won't replace data science, it will fuel it. | Andrew Jones posted on the topic | LinkedIn

“Will AI take over data science?” I hear this question a lot — and I get it. With tools like ChatGPT, code interpreters, and autoML evolving fast, there’s real fear about whether data science is still a safe career path. Here’s the truth: 📈 AI is not replacing data science — it’s fueling it...

www.linkedin.com

Why data scientists won't be replaced by AI: A mix of business, stats, and engineering | Tom Carpenter posted on the topic | LinkedIn

Will data scientists be replaced by AI data vending machines? No, because data science is not primarily an "execution" job. Data science is roughly: - 34% business role: * Finding problems that can be solved with data * Solving them to make business units, products, and services thrive *...

www.linkedin.com

What You Need to Know Before Switching to a Data Science Career in 2024 | Towards Data Science

How the market has changed (and the roadmap I'd follow if I started my journey today)

towardsdatascience.com

Will AI Replace Data Analysts?

The rise of AI in data analysis has been a cause for concern. While many believe that data analysts won’t see large-scale job replacement, it does seem that AI is capable of doing a good amount of what data analysts do. Learn more here.

www.coursera.org

 

[jane1820]

also for the demand:

Is Data Science a Good Career in Australia? Salary & Growth 2025

emergimentors.com.au

National report: universities can help better meet data science workforce demand

A recent review of the state of data science in Australia highlights the ever-increasing need for skilled data scientists, and the essential role of mathematics and statistics in data science degrees.

www.unsw.edu.au

 

[cossine]

i mean, it is high demanding and only three yr in uni, SURELY you can quickly get a job after graduating w your degree before the demand falls

Generally about 1/5 chance of not getting a job after graduation in the first year. I am not trying to say you cannot make data science. But I think there are better avenues.

Have you considered Bachelor of Medical Imaging.

 

[cossine]

[/QUOTE]

National report: universities can help better meet data science workforce demand

A recent review of the state of data science in Australia highlights the ever-increasing need for skilled data scientists, and the essential role of mathematics and statistics in data science degrees.

www.unsw.edu.au

[/QUOTE]

What I would recommend you do is create a profile on Seek or LinkedIn and have a look at the job application numbers.

Generally in the first day you are looking at 40–80 applicants. It is quite hard to obtain information on LinkedIn because often they write over 100 and jobs get reposted.

On Seek, it is easier to get a number, but sometimes applications to need to be submitted on an external website.

 

[cossine]

is this the case even if i were to go work in somewhere like perth (as shown in the listing?)

I don't have any knowledge regarding Perth and data science job prospects. But perhaps this is something you could look into. If you do go for data science, I would recommend getting an internship and trying to hold it for a year or two minimum.

 

[idkkdi]

Generally about 1/5 chance of not getting a job after graduation in the first year. I am not trying to say you cannot make data science. But I think there are better avenues.

Have you considered Bachelor of Medical Imaging.

the 1/5 number includes full time jobs in eg retail afaik ie its worse than that

 

[Isit_actually?]

i'm currently sitting my HSCs and feeling pretty lost about what I actually want to do after school. my interests shift constantly, some days I see myself in finance, other days it’s engineering, law, or even medicine. I wouldn’t say I have a clear passion or calling; i just genuinely enjoy challenging myself and i'm drawn to careers that are intellectually demanding and financially rewarding.

i'm very driven by financial freedom and long-term wealth and i really want to understand what industries and degrees in Australia actually offer strong earning potential over time - ideally those with few income ceilings.

for context, I’m a female student studying Mathematics Extension 2, Chemistry, Economics, and English Advanced, so I definitely lean towards the analytical side rather than the creative or essay-based fields.

I’d really appreciate any genuine insights - what degrees or career routes are worth pursuing today in terms of long-term financial growth and opportunity?
thank you!

SOFTWARE ENGINEERING or honestly, anything in the IT field. You don’t need to be a genius to succeed here; even being an average, consistent learner can get you a solid role earning around 130–150k per year within 1–3 years after graduation (faster if you’re proactive or build projects on the side).This role here pays 400k-500k in seek -> https://www.seek.com.au/ai-engineer...alarytype=annual&jobId=87963716&type=standard

 

[v.tex]

SOFTWARE ENGINEERING or honestly, anything in the IT field. You don’t need to be a genius to succeed here; even being an average, consistent learner can get you a solid role earning around 130–150k per year within 1–3 years after graduation (faster if you’re proactive or build projects on the side).This role here pays 400k-500k in seek -> https://www.seek.com.au/ai-engineer...alarytype=annual&jobId=87963716&type=standard

Bro if ur average in software engineering these days with AI there is no chance ur getting hired

 

[Isit_actually?]

Bro if ur average in software engineering these days with AI there is no chance ur getting hired

That’s actually false on so many levels. When I was in Year 11, I applied for a junior developer role and got hired for part-time work, earning around $30–40 an hour — made roughly 2k in just a few weeks. My coding skills were average at best, maybe even below what you'd call “skilled” in Australia. And about AI it’s nowhere near taking over IT jobs. Most AI tools still rely on humans to write prompts, validate outputs, debug logic, and build actual systems around the models. It’s more of an assistant than a replacement. In fact, people who know how to use AI efficiently are becoming more valuable, not redundant. The industry still needs developers, engineers, and analysts who understand architecture, security, and integration things AI can’t handle on its own yet.

 

[v.tex]

That’s actually false on so many levels. When I was in Year 11, I applied for a junior developer role and got hired for part-time work, earning around $30–40 an hour — made roughly 2k in just a few weeks. My coding skills were average at best, maybe even below what you'd call “skilled” in Australia. And about AI it’s nowhere near taking over IT jobs. Most AI tools still rely on humans to write prompts, validate outputs, debug logic, and build actual systems around the models. It’s more of an assistant than a replacement. In fact, people who know how to use AI efficiently are becoming more valuable, not redundant. The industry still needs developers, engineers, and analysts who understand architecture, security, and integration things AI can’t handle on its own yet.

Bro what. What company is hiring a year 11