r/AppliedMath

Feel like I'm in a weird spot and would love some honest takes.

I did my undergrad in CS at a top 5 Engineering schools in india, math background is decent but not a math degree covered Linear Algebra, Complex Analysis, PDEs, Multivariable Calc, Probability & Stats, Differential Equations, fuzzy logic, vector analysis and

No Op research or Real Analysis on transcript which I know is the obvious gap.

Research-wise I have 2 paper out in IEEE Transactions on Vehicular Technology which covers algorithm optimisation, consensus and graphs. Other one covers optimisation, inverse solving, using NNs with higher order Differential Eqs.

Currently SWE II at a FAANG working on LLM evaluation and data infrastructure.

I'm genuinely interested in scientific ML and inverse problems for PDEs, not just doing an MS for the credential. Is this competitive for applied math programs or am I kidding myself given the CS background and no rigorous proof courses done.

McGill 100K Schulich scholarship, planning to major in Honours math. (Basically no co-op)

OR

Waterloo, planning to major in Honours Math. (Really good co-op)

I am planning to do a masters, maybe even pHD after undergrad and want to prepare myself for a very rigorous mathematics environment. Preferably I would like to do my pHD studies in the US/UK and I know a lot of good US universities know Waterloo for its exceptional mathematics program. Since Waterloo has a really good name I am more inclined towards it right now but I am not sure. Also the co-op program will be able to cover a lot of my undergrad tuition at least 50%.

Please help me choose or just give advice.

I just wanted to ask, besides finance, quants, actuaries and such, is there anybody that did a applied maths degree and went into different areas for work.

I want to do applied math for the versatility and flexibility, meaning I want to have the analytical and problem solving skills of mathematics and the determination to survive a rather difficult program such as applied math. However, most people who enter applied math seem to go to the areas I mentioned above, so now I am conflicted whether applied maths is versatile or really limited

Any advice/help would be much appreciated 🙂

Currently a CS major at another UC. Got admitted to UC Berkeley for Applied Math and UCSD for CSE. Goal is a tech job right out of undergrad, not planning on grad school.

I want to go to Berkeley for the opportunities and Bay Area access, but the tradeoff is leaving CS. My plan would be to double major (or at least pivot heavily) into Data Science and stack CS-adjacent coursework to stay close to the field. Already locked in a research genomic ML internship at Berkeley the summer before I’d transfer, so I’d have a head start on the network and a relevant project on the resume.

Regarding what niche I want to do in tech, I am open to each side from ai/ml, data, to swe,cloud ,and hardware focused. I have currently focused on more of the AI/Ml projects with data science work and some autnomous driving related work but I am early enough in my career to pivot in any field of tech. Do not want to do front end or full stack.

I’ve spent time on the Berkeley campus and mapped out how the course plan would work. I’ve also talked to people at both schools, surprisingly, the UCSD students told me they’d pick Cal if they were in my position, even with the major mismatch.

So the question is, what do I choose a more ideal major or the more ideal school with way better connections.

Hello everyone, I got the good new finally. I applied for Amath and Info and got into both, and now wondering which major I should go with. My goal for the future is to do research in data science and computer science, as well as working as either SWE or Ai engineer, both Majors can help me with either path but I am not sure which one to go with!!! I would love to hear any opinion from anyone or suggestion! Thank you so much for reading!!!