Bhaiyon aur behno, maine abhi-abhi Reddit join kiya hai aur socha pehla post apni dukh bhari kahani se shuru karun.

To aisa hai mai ho gya hu paagal ..Mathematics padhte padhte. Jab bachpan mein sunte the ki "maths har jagah hai," toh lagta tha ki dukaan pe jaake aalu kharidte waqt integration lagana padega ya train ki speed nikalne ke liye differential equations solve karni padengi.

​Par ab halat ye hai ki sapno mein bhi epsilon-delta limits aur ring theory ghumne lagi hain. Samajh nahi aa raha ki ye padhai mujhe ek successful insaan banayegi ya seedha kisi pagal khane ka rasta dikha degi.

​Koi bata do yaar, ye real-life problems kahan milti hain? Mujhe bas chain se chai peeni hai, mujhe limit infinity tak tend nahi karwani! ☕🫠

​Baaki sab theek hai, aap log batao, Reddit pe survive karne ki koi secret tips hain kya? Downvote hone se kaise bachen?

#firstredditpost

I am an AI master student , currently working in an AI startup. I love maths and physics and it was my passion my whole life pretty much. I always wanted to go for math or physics higher degree but rn it seem pretty absolute to me. And yes , I am not saying this because of some AI hype , i work very closely with AI and have trained SLMS by myself.

Progress of Language models in verifiable tasks is crazy , recently they solved Navier stokes (Ik there's controversy who solved it) but i still believe the attempt is crazy , I remember , how just a year ago these models were doing mistake in my assignments and now i don't see single mistake. I have heard that even Quant firms heavily using LLMS for there math researches and openAi also solved another small 300 unsolved math problems. It looks like progress is really fast and kind of exponential. Even though these models won't beat top 10 mathematicians they already beat majority people out there.

I want to know you guys suggestion , what you think about the future of Math and physics, is it worth it to go into , i mean anything STEM pretty much requires math and if models can think of math better than humans than what will humans study , to me math was language of universe and seems like models understand it better than humans. I was seeing this podcast with terence tao and he was agreeing that models very close surpassing human mathematicians and how human brain never evolved to understand math instead it was evolved for language and visuals.

I want to know what you guys think , what future will look like as humanity because it seems almost purposeless world to me where machine understand math better than humans.

Yeah so I have this question as a non math student in commerce but I have friends who have taken applied math and I can understand the reason but the thing is that they were upset because my school didn't give the option of taking core math with commerce and I was confused asf like why do you want to do trigonometry etc what's the point? Can people here tell me the reason 🤔.

I’m in Grade 11 and looking into Bessel's method (solving the inverse geodesic problem on an ellipsoid) for a math research paper to find the shortest possible distance between two points on earth.

My original goal was to completely derive, prove, and evaluate the method by myself. However, looking at the math, it seems to rely heavily on university-level topics like differential geometry, elliptic integrals, and the Calculus of Variations (Euler-Lagrange).

Is it realistic for a strong high schooler to teach themselves this level of math for a paper, or is the learning curve too steep?

If the full derivation is too much, would coding the algorithm in Python and evaluating its accuracy/convergence against simpler methods (like Haversine) still be complex enough for a top-tier high school math paper?

Appreciate any advice or insights!

I’m a postgraduate student in biophysics, I'm very much interested in theoretical biology, living matter physics ,mathematical modelling, and related fields. I have a basic understanding of calculus, linear algebra, probability, and statistics ( with some advanced knowledge of random walks, the diffusion equation, markov processes, stochastic processes) along with lil bit of differential equations

My current coursework and labs are more focused on pure biology. I need help in deciding which subjects I should study to build a strong foundation in theoretical biology and active matter physics, particularly from both physics and mathematics.

Would a double major in applied math and comp sci be a good background for a neuro engineering masters or PhD? Would this be a strong background for jobs in industry?

I'm a freshman majoring in Electrical Engineering, and I planned to minor in Computer Science. However, I've realized that I enjoy math more than coding, so I'm wondering if minoring in Applied Mathematics would be a possibility. I've already completed all the calculus courses and am currently taking Differential Equations. I would also like to know how hard is Applied Math. Thanks y'all!

Hey, I’m a junior majoring in Applied Math in the U.S. and my school has 3 pathways to choose from. I’m wanting some insight on what careers/graduate programs these pathways could lead towards.

These are the classes for each pathway:

Optimization: linear optimization & nonlinear optimization

Differential Eqs: complex variables & diff eq

Modeling: math modeling (regular or within biology) & a choice from 3 different classes (data analysis, multivariate stats, time series analysis)

I’m also working through a minor in Chemistry and have some research under my belt. I’ll be applying to research labs to work on at atleast one more project.

I’ve taught myself some coding languages, JavaScript, Python, and HTML (the basics). SQL is up next on my list but is there any other languages that I should learn? Would a portfolio be good to have?

Job wise, I’m interested in data analytics and more of a research focused career. Not necessarily in research and academia itself, but I’d like to work within environmental conservation, pharmaceuticals, astronomy, or astrobiology. From what I’ve mostly seen for those in this major is that they’re wanting to go into finance or CS. I’m not opposed to going into CS but I would like to stay away from finance.

I’m planning to go to grad school too. Would a masters in Applied Math do well? Or would deviating from AM towards Statistics or Physics be better?

Any insight would be great, thank you!

An exactly solvable gradient flow whose time-evolution maps are smooth bijections of the real line at every finite time, and whose infinite-time limit is rounding to the nearest integer.

GitHub:

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Hello everyone,

I need some sincere advice regarding my PhD plans.

My Background: I have recently completed my MS in Mathematics. During my MS, I became very interested in how Generative AI is changing how we teach and learn mathematics.

My PhD Idea: I am planning to do a PhD in Mathematical Education with a focus on Generative AI. Some potential research interests are AI-powered tutors for higher mathematics, use of LLMs for mathematical reasoning and proof explanation, and personalized learning paths for undergraduate math students.

My Career Goal: My primary goal is to join academia as a Professor or Researcher.

My Questions:

1. In 2026, is this intersection (Math Education + Gen AI) a valuable and long-term research field, or is it too saturated?

2. For someone with an MS Maths background, will a PhD in Math Education limit me compared to a PhD in Applied Math?

3. If anyone is working in this area, what universities/supervisors would you recommend?

I have tried to research on my own but would love to hear from people with real experience in this field.

I have a B.S. in Applied Math, with a 3.6 GPA. Looking for programs to apply to that are outside the United States. Thanks!

I'm a B.Com. (Hons.) student currently at SRCC. I didn't have maths at school level which limits my potential of doing further studies in fields like Finance or Economics in India. Will doing NetMath help in further studies like masters or PhD in India or abroad?

I am an advanced computing student who is doing a minor in maths, i am about to finish my first year and was wondering what people's experiences of MATH3511 are. I am debating whether to do it or to do MATH2305, as i only need 1 more maths course after this current sem

IS there any career of applied maths? If I choose stream applied maths is it worth it or not?

For some context, I'm a sophomore math major at a small liberal arts school, recently switched from economics. The math atmosphere is extremely small at my school, with tens of students each semester, and classes are full only because of CS Physics etc. majors. Summer courses are not high level, and undergrad TAs don't really exist, but because the ratio of true math majors to math professors is extremely low, independent/directed studies are extremely common.

I'm a bit behind for a math major right now because of my recent switch, but I have essentially everything except my math courses completed. Right now, my entire resume is business/finance related: finance internship, basic SQL, Python, etc.

One of my professors asked me to apply to a summer research program with him, but besides that, I don't really know what else I should be doing. All of my friends are frat business majors so I am for the most part on my own with in my pursuit in mathematics.

I'm definitely still looking at finance roles, but also want to keep the option of doing grad school in math open.

i had my undergrad in cs not much involved with maths and no physics at all. Doing mit opencourseware maths and physics courses and doing projects all along.

I have been looking forward to applying for the masters I heard from my peers The transition from cs to applied physics is pretty moonshot

Which career prospects will be applied to math or computational science make my transition Good I am looking for more research oriented , outcomes of the degree , network , etc

I'll keep this brief unless more information is needed

I work in structured finance in a structuring position (some math/very light coding, but mostly client facing). I have BS/MS degrees in Economics from T50 and want to do a PhD in Statistics to go into quant/financial research, but my math/stats knowledge is not remotely competitive enough to get me into a T25 uni (what I'm aiming for). I've taken Calc I and II, linear algebra, probability theory and a host of econometric courses, but lack rigorous training in analysis and measure theoretic probability (which, from the research I've done, are essential to have succes in the PhD)

Unfortunately, doing an in-person BS/MS is simply not possible with the hours I work

My question, frankly, is this: is an online BS math/stats degree useless (carries no weight), or has it been beneficial in your case (even if you did not consider PhD route)

Thanks!

Hello everyone,

I am going to transfer soon either for Computer Science at a state school or Applied Math at a research institution.
I like CS a little more but the market seems terrible. Also the applied math unis let me have an area of emphasis which will probably be CS or Physics.

Luckily I’m not worried about finances.

Any insight would be greatly appreciated.
I would like to eventually get a masters.

I would also like to have versatility in career options if possible.

Hi everyone,

I’m considering doing a Bachelor en Cultures Européennes (BCE) in Philosophy at the University of Luxembourg, but I’m also very interested in mathematics and would potentially like to pursue a Master’s in Mathematics (General Mathematics) at the same university afterward.

The master’s admission requirements state:
*“Diverse academic backgrounds will be considered, as long as a strong mathematical background is demonstrated, such as:

Bachelor in Mathematics (at least 180 ECTS) or similar;

Bachelor of Science in Engineering or Natural Sciences (at least 180 ECTS) with a strong mathematics component demonstrated by a substantial choice of modules and very good performance.”*

My plan would be to use the BCE’s open-course component to take around 40–50 ECTS worth of actual mathematics bachelor’s courses, taking the same classes and exams as mathematics bachelor’s students. I’m considering courses such as Algebra I, II and III, Discrete Mathematics, Geometry and Analysis.

I’d also aim to get very good grades in these courses and write my bachelor’s thesis on a mathematically rigorous topic in mathematical logic, combining my philosophy background with mathematics.
Since the university explicitly says that diverse academic backgrounds are considered, I’m wondering whether this combination could realistically be sufficient for admission.

My questions are:

Would 40–50 ECTS of actual mathematics bachelor’s courses, with very good grades, be enough to demonstrate a strong mathematical background?

Would taking the same advanced courses and examinations as mathematics bachelor’s students make a significant difference?

Could a mathematically rigorous thesis in mathematical logic strengthen my application?

Has anyone here applied to the Master’s in Mathematics at the University of Luxembourg with a non-mathematics bachelor’s degree? If so, what was your experience?

I’d appreciate realistic opinions, especially from people familiar with the programme or its admissions process.
Thanks!

Hello!

I am currently a second year Math major (and statistics minor), and I'm on a three-year graduation track thanks to high school credits! I'm very certain I want to go for a PhD, but I'm torn between pursuing pure math vs applied.

If I went into AM, I'd like focus on astronomy applications - I had a research position doing exoplanet research this summer, and this position is being continued into this year, and I really love it!

I'm less sure about what specifically I'm interested in PM, but I absolutely love my math classes, and am so fascinated with everything I'm learning. When I think about pursuing AM instead of PM, I get almost a little sad that my understanding of pure math won't be as deep as a result.

My university also has a contiguous 1 year bachelors-masters plan for mathematics, so I am considering pursuing that and then going on to a PhD program, but that still leaves me with the same issue at the end of the day (although it gives me some more time to assess my interests).

I could see myself being happy with either path, so I would love to hear from people who pursued one or the other and what their experience was like, or if anyone who has gone through grad school applications in general has any advice on how to determine which one would be a better fit!

Bonjour,
Je suis actuellement en L3 d’économie et je me rends compte que je n’aime pas vraiment cette licence et que ce qui me plaît en réalité ce sont les maths. J’aime les maths appliquées et les matières mathématiques dans ma licence mais l’économie, bien que c’est intéressant, n’est pas le domaine dans lequel je souhaite faire carrière.
Je débute mon S5, et je me demande maintenant si je devrais repartir sur une licence maths/info ou MIASHS mais du coup perdre 2 ou 3 ans en plus ou je devrais simplement faire autre chose en master si j’en ai la possibilité. J’aimerais savoir si vous aviez des conseils à me donner svp

I hate math and I’m bad at it, but I study marketing at university, and I have to deal with accounting, statistics, economics, and probably more.
Right now, I’m struggling with statistics, and I’m so sick of it. I can’t understand shit about math. I’ve been struggling with it since middle school. I do try to open my mind and give it another chance, but I always get stuck, and my brain just shuts down.
It seems like everyone is good at math, and even if they’re not, they’re still not as bad at it as I am. I feel so worthless and burned out whenever I have to deal with a math problem.
And I hate it when people look down on me for being so bad at math. Like, why doesn’t anyone look down on someone for being bad at English or something else? I just don’t understand why everyone has to be so shocked when a professor says that there’s someone in the class who can’t do math. Why doesn’t anyone act like that when it comes to languages?
Btw, I want to start over and learn math from the beginning again, but I don’t know where to start.

How does one even begin with research in applied maths, my course has mostly been more pure in nature while I enjoy applied maths (atleast from the books I read).
I like probability, analysis and linear algebra.
Please advise me on how does one even begin with research here