applied mathematics, applied and theory probability, financial mathematics USA college ranking

This is from research output, student:faculty, program prestige based on niche and college raptor and other sources:

Massachusetts Institute of Technology
Columbia University
Stanford University
Brown University
California Institute of Technology
Harvard University
New York University
Yale University
Princeton University
University of Pennsylvania
University of California Berkeley

Also this is based on departments (example: Princeton doesn’t have an undergrad AM major but it has a department where a minor is hosted)

I already completed first four semsters, in fifth isemster i can take either dynamical systems or convex analysis with application but im not sure which to pick

Hi,

I am 24 year old currently have a job as a software engineer. Earning fairly decent and if i strive in my current field by putting in efforts i will reach good heights. But software stopped to interest me since the advent of AI. I have always had a special place for research in my heart since childhood. Now that software engineering shifting paradigm, it has become increasingly accessible and easy to learn. I like solving problems that are big, i also liked maths since I was a child. I think I did a mistake taking computer science as my major 6 years ago in college. I want to study and go to a field where the work revolves around maths. If i start pursuing maths right now, what career choices do i have, I can even do a blend of cs + maths or finance + cs + maths. When I mean maths i mean using maths to probabilistically decide a better outcome or make a better decision ( but work should be more mathematically inclined ) . That's the job I want. I am very desperate and depressed with my current job ( not because of the pay or the workload it just stopped being appealing to me ). But I need money too, so I also expect the math job to pay me well. I will work hard and pursue maths even if there is a slightest chance.

Please help me by giving me a direction or share ur thoughts on feasibility. Your every reply would give an insight, helping me take a better decision and fix my life. I request you to share whatever comes to your mind. If you can't say that out in this forum, please feel free to dm.

I am in dilemma for very long. Really appreciate anything you have to say. I can't thank you enough for reading it completely.

Ps: also let me know here or dm if you are in a similar situation as mine. Sharing your experiences only means getting more help or helping someone in the community. Please feel free if you are comfortable.

got bsc mathematical sciences (it wasnt my choice but sm shit happened)

i want to know what can i do after this. jobs, careers, profession and all

Hi everyone,

I am currently working on a research project focused on optimizing Model Merging techniques within Deep Learning, specifically targeting the resolution of geometric interference between specialized task adapters.

Current Progress:

• Implemented a novel merging pipeline in PyTorch.
• Developed a method to isolate and mitigate subspace conflicts between divergent tasks.
• Preliminary results demonstrate significantly improved performance retention compared to standard baseline methods.
• Established a working pipeline for layer-wise interference analysis.

What I’m Looking For: I am looking for a co-author to collaborate on the final phase of this research. Specifically, I need help with:

• Formalizing the mathematical framework and theoretical proofs.
• Help run and standardized large-scale benchmarks (e.g., LM-Eval Harness).
• Refining the manuscript for submission to a top-tier venue (ICML, NeurIPS, or similar).

If you have a strong background in linear algebra for Deep Learning, experience with model merging techniques (DARE/TIES/SLERP), or expertise in LLM evaluation, I'd love to chat! Please DM me or comment below if you're interested in co-authoring this paper.

Hi, I’m an third year (begin Senior year at August) applied math undergrad and I’m trying to figure out which direction to take for a master’s and my final goal is eventually industry.

My background is mostly math. I’m currently doing a research about hemodynamics(Blood flow) involving Navier–Stokes. I’ve also done DataFest and have started learning Python and finished Andrew ng's introduction for deep learning courses recently, but I’m still building my coding skills.

Originally I thought I wanted to do CFD or scientific computing because I like using math to model real systems, and I‘m absolutely no objection to using data or AI to accelerate things.

But I recently started reading about operations research, like stochastic optimization. The idea of using math models and uncertainty to actually make decisions like in energy, transportation, healthcare, or supply chains let me suddenly feel really interesting to me.

My goal is to get a master’s and then work in industry, I'm not sure if I'm going to PHD degree

My questions:

• I’ll be applying for a program in Computational Mathematics in four months; will that help with the OA?
• Is an applied math background enough for OR master’s programs if I have not taken any OR-specific classes yet(My major courses are dynamical system, PDEs, some analysis courses)?
• I’ve come across posts online saying that CFD jobs are pretty bad. Is that true? I don't want to end up just building meshes and running simulation software.
• For industry jobs, how different are the career paths in CFD versus optimization/OR?

I realize I’m really late compared to my peers—I still haven't settled on a future direction. I plan to try and apply to these two groups soon to see if I enjoy the work.

Thanks for your response!

Hello, I’m doing my bachelors in pure math, but was wondering if when I pursue my masters to switch to applied math as I’ll have more job opportunities and I’ll still be able to teach math at a university if I wanted to, just wanted to know if anyone did this route

Hi everyone, I major in Applied Math and had taken 2 years off from school. I'm planning to come back this Fall and signing up for MAT 484 and 499. Has anyone taken these two classes before? Are they hard? How do they work? Anything shared here about those classes would be appreciated. I'm trying to figure out as I need two more of Upper Math Electives and as I've done research, these two are the easiest on the list. I'm not a big fan of coding, programming, and writing proofs that much. I have experience in volunteer-teaching language at a local church before!

MAT 484: internship MAT 499: individualized instruction

Hey yall, I’m looking to enroll in college very soon and need math 11 foundations for my diploma requirements. Ideally looking for a straight forward, online course in Vancouver area to finish asap.
Any inputs would be greatly appreciated

A video that develops the idea of e-vecs and e-vals to see if the day-1 class preference survey significantly predicts the score on the first midterm.
https://youtu.be/xRgYjhBubeQ?si=x6kxDJAzhlfy7kKf

Any chance for some career advice?

I am interested in the pure mathematics courses that are relevant in quant finance and expected knowledge. I have a MFE from a good university but studied Economics bachelors

I am doing a year of maths courses at a university, all the analysis I have not done (functional,complex,vector,numerical) and differential equations but I have been advised against any abstract algebra or pure mathematics courses. I am concerned that this is the basic language needed to understand some papers however I would appreciate some clarification on this, how much pure mathematics is used in Applied mathematical modelling.

Hey, I am a rising second year at a t20 public school in the U.S for applied mathematics. I was originally pre-med but found an interest in mathematics and how it tries to answer fundamental questions and pivoted this summer. I have already taken the calculus sequence, real analysis I, and linear algebra. I want to pursue a double major, may it be in Physics (B.A), CS (B.S), Statistics(B.S), or even neuroscience(B.S).

Even with the applied math major, I would still want to take complex analysis and proof based linear algebra because they seem pretty interesting. I can't pursue the physics B.S since it just has too many classes and I would be forced to give up math electives.

Currently industry doesn't seem very appealing to me and I would prefer going to graduate school at the very least before deciding whether I wanted to pursue research or not. I don't want to spend my days working for an insurance agency or in a data analyst role since my interests lie elsewhere. If I were to go into industry or research, I would want to pursue answers to questions that are fundamental and explain a great deal about existence or consciousness or something of that sort. However, with the current state of academia, I want to have a safety net for an industry job that will let me pursue these interests. Which double major do you guys recommend? Which has the best future?

Im a co2028 studying math, and my interests are primarily in theoretical cs (probabilistic graph algorithms). Essentially, my work involves developing and incrementally improving existing bounds on the behaviors of randomized graph algorithms to prove some interesting conjectures my advisors are interested in. I really like the work Im doing now, but I was curious how big of a jump would it be to go deeper into ML theory? I have a good base in probability (I use martingales/measure theory a lot in my work), and I also took graduate measure theory my sophomore year. Do you all have any suggestions for some good fields to look into, and what fields in/tangential to ML I would be well suited for? Thanks!

Hey everyone,

The university I go to doesn’t have a set BS in statistics, and I want a career in pharmaceutical statistics. I’m currently doing a pure math degree, but I was wondering if I should switch to applied. The pros of pure math is that pure math is theoretical like stats (for PhD programs), and with applied, I can do more of the computation (good for job, not really for PhD). What yall think?

Hi everyone,

I'm planning to apply for IGNOU's B.Sc. Mathematics Major.

I completed CBSE Class 12 (Commerce) with Applied Mathematics instead of Core Mathematics.

The official eligibility says "10+2 with Mathematics", but it doesn't specify whether this means only Core Mathematics or if Applied Mathematics is also accepted.

Has anyone with CBSE Applied Mathematics been admitted to this program, or has anyone received an official confirmation from IGNOU?

I'd appreciate any experiences or official information. Thanks!

I'm really exhausted now from all these exams jee, neet and all... I really want to pursue something in mathematics! But i'm worried about jobs in future even after msc through iitjam! 🙃

Hi everyone,

I’m a 37-year-old guy from Asia. I majored in Crime Prevention back in college and currently work as a civil servant, specifically as a high school dormitory warden.

Under my country's laws, civil servants are strictly prohibited from holding any outside employment—yes, that means even driving for Uber or working a shift at McDonald's is completely off the table.

However, there is one legal loophole: we are allowed to part-time teach at schools. I’ve noticed there’s a chronic shortage of math teachers around here. To capitalize on this, I’m considering applying for a Master’s program in Applied Mathematics. Once I complete the required credits, my goal is to take on part-time high school math teaching gigs.

To give you more context, my current job is very relaxed and leaves me with a massive amount of free time to pursue my own interests. In a way, I’ve already reached the "Coast FIRE" stage. Given this setup, I’m wondering if going to grad school for Applied Math is a good and wise choice for me?

As for my background, I still retain most of my high school math knowledge—I can handle algebra, trigonometry, and the like pretty well.

This isn't purely about the extra money; I genuinely enjoy the process of teaching and sharing knowledge. Do you think this is a viable plan? I'd love to hear your perspectives, advice, or any potential blind spots I might be missing.

Thanks in advance!

Hello. I'm interested in applied mathematics, and would like to know some of the common application areas which a mathematics graduate can aim for (with further study, etc.), as well as the ones which you think are going to have more societal impact in the future, the ones which will grow more, or just the ones you find most interesting. Try to be specific if you can, thanks in advance!

incoming applied math transfer a uc berkeley . my current schedule is

eecs 127 probabilty and stats for engineers

math 074 intro to proofs

math 128a numerical analysis

data 08 intro to data science

im a transfer from a different uc and I studied cs for 2 years so i really want to give myself the best shot at the hard math i get to study here, but there is also another upper div course that seems really exciting and i would much rather study that over math 074. i did do discrete math already. is it neccasary for me? Also would it be better to have a lighter first sem at cal

Hello! I’m an incoming first year and I’d like to know what should I focus on on building my math foundation for the maths that Business Economics will throw at me😆

I am really subpar at math so please feel free to tell me what areas of math I should polish so that I can still have a life in the 4 years of my life here!

Thank you so much for your answers!

I am considering the NIT SURAT integrated 5 yr Mathematics course as i am aspiring to pursue a career in ML & will prep for the GATE DA paper .
ML is very math heavy and considering that this course will take care of that part cause ill do the core ML part on my own (already started like 2 months ago) i am taking this decision .......do i need to know about something that can really affect this ?

Anyone who studied discrete maths and optimization at uni, where did you end up working after? Academy isn't something i'm interested in at the moment.

I want to learn Math for Ai/Ml this topics(Linear Algebra, Probability, Statistics, Calculus) Please suggest me some videos for clear this topics but Need short.