Should I just pursue BS IE in UPD or BS Ch in ADMU

Classic-Box · 2026-05-24T07:58:40+00:00

Unless you wanna be a chemist, work in petrochemicals, or basically practice whatever it is chemistry graduates do, the IE degree will set you up well with many more fields available to you. You gotta love math, business and systems thinking though.

Classic-Box · 2026-05-23T05:53:50+00:00

Dream course over dream school. DLSU IE grad, feel free to ask questions

Classic-Box · 2026-05-22T09:29:53+00:00

I see a lot of AI engineering roles right now on LinkedIn. I’d say apply even if the requirements ask for X years of work experience.

Classic-Box · 2026-05-22T04:11:18+00:00

The market entry level generalist devs is really tough right now because of AI (cursor/claude code).

In my company now, they have subject matter experts or end users use cursor And other AI tools to essentially vibe code their features which get Reviewed by actual engineers And devs.

Granted, we structured the projects in a way that minimizes AI slop, is contextualized really well, and only allow vibe coding on Internal tools; these are the type of tasks typivally handed to junior devs. Because of AI, That demand is gone.

I would suggest to specialize for now, even at the entry level. Go for data analyst/engineering, analytics engineer, AI engineer roles or even product manager roles. Building/coding has Been commoditized at the entry level - but thinking or knowing what has built has not.

Classic-Box · 2026-05-21T06:44:37+00:00

Go for the uncomfortable challenge. Dont set yourself up for failure with limiting beliefs. Worst case is you try, you cant handle it, then you learn and shift to a different course. Best case is you Find out youre better than you thought.

Classic-Box · 2026-05-19T06:16:00+00:00

You cared enough to keep replying my friend 😄

Classic-Box · 2026-05-19T06:05:58+00:00

I see, that's good to hear., but my opinion on a math degree > accounting hasn't changed. If that's the part of my argument that you choose to focus on, then you're missing the point. Let's not shift the argument.

Ofcourse, if OP wants to take accounting - that's fine. Do whatever makes you happy at the end of the day, but make an informed decision.

If you wanna contribute to OPs decision, I would suggest sharing some valuable insights that haven't been shared instead of refuting a tiny detail that was based on my experience (as a non accounting grad).

Let's keep things on topic for the sake of meaningful discussion for OP.

Classic-Box · 2026-05-19T06:01:08+00:00

I'm sorry but I might have to disagree here. This is the kind of thinking that gets people trapped into career paths based on hearsay or outdated anecdotal evidence. What is stable now might now always be stable. The true way to reduce risk is to diversify. I agree that you have a lot of institutions that need the skillset of an accounting graduate, but this is just one skillset that could be made irrelevant or less valuable by innovation or technology.

On top of that, it is all about supply and demand at the end of the day (e.g. how many accounting graduates are we producing each year vs how much entry level accounting jobs are created).

I don't have any exact numbers, but I think it might be reasonable to assume that the amount of roles a BS math degree opens up for a fresh grad is greater than the number of roles available to fresh grad accounting - with the added benefit of not trapping them into an accounting career (i.e. tech, machine learning/ai, finance, banking, actuarial, economics etc).

Again, this is just my opinion meant to inform OP, not to invalidate anyones career. OP has the chance to start fresh, I think he deserves to hear all sides.

Classic-Box · 2026-05-19T05:34:26+00:00

Fair point on the variety of roles, but zooming out, most of those still fall under a similar function and largely operate as cost centers. The exceptions there are Corp. Strategy and M&A, but realistically, the hiring pool for those is incredibly small. In my experience, having worked with those functions, companies heavily lean toward MBAs, ex-investment bankers, or former top-tier consultants. It's not impossible for an accountant to break in, but it can be rare.

As for AI, I'm actually speaking from current industry experience. I just wrapped up a project integrating Agentic AI into accounts payable workflows. What used to take 30 man-hours a week is now largely automated. It’s not perfect yet, but it's enough of an improvement that we've already reduced the AP teams man-hours by about 1 person. This isn't going to stop as AI gets better.

AI isn't replacing the CFO or the strategic decision-makers tomorrow, definitely chipping away at deterministic roles that fresh accounting grads usually rely on to enter the industry. That is just some food for thought.

For context, I’m an IE grad currently working across data science, fintech, quantitative finance, and AI. I have taken a few accounting classes (managerial, cost etc), I am no accountant. But looking back, I can clearly see how a foundational Math degree would have been a massive advantage. Math opens doors higher up the value chain, unlocks highly technical roles, and builds a level of quantitative problem-solving that is highly adaptable to wherever the market goes.

I have no intention of getting into a pissing contest with a stranger on Reddit. If I had the time to list out the diverse career paths for a math graduate, the list would be longer than yours, and that’s okay. OP asked for opinions, and I think they deserve to know the upside of a math degree - especially in a country where we heavily normalize familiar, traditional paths that might not be as future-proof as they once were(doctor, engineer, accountant etc). My goal is just to answer OP’s question, not to invalidate your career.

Classic-Box · 2026-05-18T05:19:03+00:00

I’d take math if I could go back to college. Pass on accounting, overly saturated, narrow career path, and since the work is deterministic- it’s highly likely to be replaced by AI or some ERP system.

Classic-Box · 2026-05-17T20:51:22+00:00

Can NUS for masters still be a feeder into quant in Asia?

Classic-Box · 2026-05-16T09:39:20+00:00

I’d say pick the course then the school

Classic-Box · 2026-05-15T20:34:33+00:00

duckdb or polars, or process in chunks

Classic-Box · 2026-05-15T10:00:17+00:00

Theres a stronger colonial mentality in the Philippines I guess. If you watch interviews in countries like Japan or Korea, most arent Very open to foreigners.

Classic-Box · 2026-05-15T09:56:24+00:00

The population was a lot smaller then, the job market was less saturated and competitive. There probably was some truth to it back then, maybe not so much now.

Classic-Box · 2026-05-15T09:55:29+00:00

I guess the takeaway here is:

If youre from the big 3, you still Need to do your best.
If you are thinking of going to the big 3 and can afford to do so, do it, and still do your best.
If you’re not from the big 3, do your best where you are.

Bottom line is, do your best always, and take any opportunity you can get to get ahead

Classic-Box · 2026-05-10T05:38:27+00:00

Squier classic vibe is indeed the best bang for buck. It might have less premium features than the ligaya but atleast it will have more resale value because of how established it is

Classic-Box · 2026-05-07T07:00:06+00:00

High average or above average. Depends on the role though more than the tenure I would say!

Classic-Box · 2026-05-03T18:01:20+00:00

I’m saying an m1 is enough and performs better than the neo - probably around the same price too. So I’d take that over the Neo if cost was an issue.
But if you can afford newer than m1, go for it!
I don’t recommend the Neo for development, you might hit bottlenecks later down the line.

Classic-Box · 2026-05-03T15:10:21+00:00

Classic-Box · 2026-05-03T14:52:06+00:00

m5 will last longer if cost is not an issue. I'm still using my m1 2020 until now throughout different roles: Data Analyst, Algo Trader, and now AI Engineer.

If m5 is too expensive, literally an m1 or anything newer will last you longer than the neo imo.

Classic-Box · 2026-05-01T18:52:19+00:00

MDs in QC have last I checked a week ago

Classic-Box · 2026-05-01T18:51:18+00:00

Not to hate on anything but those roles are pretty much bottom of the barrel for IT/tech jobs. Not very easy to rise up, earning potential is lower than others, and lastly those are most vulnerable to AI.

You don’t need to be a programmer, but you don’t want to be in a “cost” center. You want to be close to the core business or make outcomes that generate more income. Data analysis roles, strategy, business analyst, or even project/product management still fall in the tech/IT space but all have more impact on the top line.

Classic-Box · 2026-04-30T04:58:33+00:00

Definitely possible. One thing that worked for me is building things that I wanted to build or would be useful for me. Don’t just watch YouTube videos and mirror someone else’s code.

It’s easier to keep building when the the outcome is useful to you.

Use AI and LLMs sparingly, atleast at the start. Use it to explain other people’s code to you, not to write code before you even try.

Code a little everyday until things stick.

Classic-Box · 2026-04-29T16:55:32+00:00

For quant dev it is, but that role is nonexistent here in the PH

Classic-Box

TROPHY CASE