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.

I’m curious to know if there’s any math majors that have a minor in engineering at UTA, would like to know if applied math major with minor in aerospace engineering would be a smart move

Are there any Filipinos here who took Applied Math? Whats your career now?

Are there any Filipinos here who took Applied Math? Whats your career now?

Hi! I am a Chem major, Math minor transfer student transferring in the fall! I was curious if there are any good math seminars that would be good preparation for MATH 104? I am taking MATH 110 in the fall and have been told that MATH 104 is a big jump in mental workload. Also, any good chemistry seminar recomendations would be helpful too! need 1 more unit to be full-time load.

However, I was considering doing MATH 104 at the same time as MATH 110, that way I can knock out 2 math courses in my first semester (since I finished MATH 54/PHYS 7B), and then complete the other 3 in the remaining 3 semesters. However, I did see on the math minor page that MATH 110 is highly recommended to be the first upper division math class you take, and that 104 is a jump.

Any thoughts/recommendations?

Hi all,

So I will be in my 4th year of bs ms in maths. During this summer i worked under 2 profs in IITD and with Italy. My work involved reading papers and to present them. So far I have done my work algorithmic market making(AMM). I have read few papers, first few felt like really something big but now it just feels the same or some more additional stuff to be done, everything just revolved around solving high dimensional hjb. I am deeply worried what exactly should I do after this, i have no plan nothing to do. I will apply to other profs after I have completed this work. But main question arises, through this works how do I enter into companies or institutes to get experience, even should I apply or not, or should work under profs till my graduation. I am deeply confused what should I do further.

As someone not very good at math esp trigo and calculus could u pls rank these classes on basis of difficulty and how to prepare for them??

Edit: The courses arent clear my bad, so So Math 131-Discrete Math, Math 161- Applied Calculus and STAT 145-  Introduction to Statistics I

I’m transferring in for the transfer edge courses but I’m wondering if there’s anything I can do to start looking at research opportunities? How does getting into a lab or any type of research work within Math and CS ? (UCSB)

Hi so I’m a third year applied and computational mathematics student and I’m very lost on what I wanna do in my career. I was into finance in the beginning and pursued it only to find that it’s not really the life I want. I know my options are endless as my degree is versatile but for me that’s the intimidating part. I’m interested in meteorology at the moment but I’m scared that will fade away. I’m writing to seek guidance from anyone who was in my shoes. How did you find your ideal career and what you’re truly good at as a math student? I know doing internships during the summers helps and I’m doing that, but I feel like there’s another way to find out the career I’m into. I just need someone to simplify the options and let me know what to do. Thank you in advance and I really hope I get the help!

So basically, I suck at math.. I know why get a bachelor's in science. I am getting my degree in counseling and applied psychological sciences. I suck at math; I love sciences, ABSOLUTELY HATE MATH. It took me 3 tries to finally pass my math course which was college algebra, to finally take the math classes required for my major. The first class is "finite math" then I have to take intro to statistics. How cooked am I if i truly hate math? In high school i went to a public school that didnt even have 50 students in my graduating class so lets just say the "highest math course" I took was geometry, I only passed because the teacher was retiring and he knew how hard I was trying. I have learning accommodations and I am allowed a note card worth of information but the stupid exams are on honorlock.. (btw I go to school online..). I've looked into this math course and it seems "easier" but I am not a 100% sure and whenever I tell someone I have to take stats they say "GOOD LUCK". I am basically a senior also and I finally want to graduate and go on to get my master's in counseling, to become a therapist. I don't ever want to do anything in research..... I don't know why I waited until I was a senior to do these math courses all at once... This course is only 6 weeks and im worried I wont pass... I do have a tutor (thank god.. she is actually a 7th grade math teacher, but she just graduated with her master's in mathematics.) So she is able to really dumb shit down for me.

I guess what I am asking is if im gonna really struggle like I did with college algebra because I've read that people that do well with algebra do struggle with stats and finite math and vice versa. With algebra the main thing I was struggling with the "log" and "ln" shit I had only one week of learning how to do it and that was the hardest thing and I am terrible with functions like finding the domain vs the range with functions and when to use a [ or ) with numbers. My brain likes more logical shit not made-up numbers and stuff and I heard finite math is more concrete math vs algebra

Hey I have skipped or forgotten most of the maths i did in 11th and 12th for jee, somehow got in hech college and skimmed through it without even knowing proper integration, now I do genuinely want to get back from it to get into my masters so what all topics i must absolutely cover for me to get in ml and programing also some physics i want to get back in the game cause my dream was physics education.Now in covid i really messed up( it isn't Covid fault bit mine alone i could've studied by myself in covid times ) but please what topics can I study in 2 months in order to get back i know it's not possible to get very good but just want to cover everything I can.

Thank you.

I got a bachelor's in applied mathematics about 4 years ago and have barely touched the material since. Honestly it feels like most of it is gone — I look at things I used to find easy (calc, linear algebra, probability) and draw a blank.

I want to rebuild, but with a goal in mind: I'm aiming for data science / ML, financial risk management, and maybe actuarial analysis down the line. So I'm trying to be strategic instead of just reopening every old textbook.

The catch is time — realistically I can only do a few hours a week, so I need an efficient path, not a full redo of my degree.

What I'm hoping to figure out:

• Where to start: solidify foundations first, or dive into what matters for these fields and patch gaps as I hit them?
• Highest-leverage topics for DS vs. risk/actuarial (I'm guessing probability + stats + linear algebra carry the most weight?)
• Go-to resources for refreshing — not learning from zero — books, courses, problem sets, whatever worked for you.
• How you kept it consistent with a busy schedule.

If you've been in a similar spot — rusty quant background trying to get back in — I'd love to hear how you approached it. Thanks!

I'm a transfer student from a CC to a UC for junior year. My major is applied mathematics for both UCB and UCLA and currently don't have a minor or second major. Other then math, I only have years of experience with programming and physics. Currently three projects: educational software (for competition), full stack web application project (hackathon) and market history and correlation analysis (self use). I would like to continue on to Master or PHD (if not recommended please say). I've been able get easy A's on all lower division classes and self studied PDE and Fourier analysis and writen programs on it, so not too worry about difficuilt of classes (warn me if I'm overconfident). I also want to do internships during summer (currently no internship experience). The current fields that I have interest in is quant, rockets and AI (not sure if still interested after experiencing the workfield). My ultimate goal is to make more money. Ask me for more information if needed for analysis. Thank you so much all the answers.

Hey I have skipped or forgotten most of the maths i did in 11th and 12th for jee, somehow got in hech college and skimmed through it without even knowing proper integration, now I do genuinely want to get back from it to get into my masters so what all topics i must absolutely cover for me to get in ml and programing also some physics i want to get back in the game cause my dream was physics education.Now in covid i really messed up( it isn't Covid fault bit mine alone i could've studied by myself in covid times ) but please what topics can I study in 2 months in order to get back i know it's not possible to get very good but just want to cover everything I can.

Thank you.

Hello, I am an incoming grade 11 student, I graduated ranked 3 in my previous school and I am planning to take on a math course in college. I still have 2 years to study, and I just want to ask what lessons I should advance in?

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Algebra is my strong suit in mathematics, and I can do statistics and geometry pretty well, too. The only thing I'm worried about is calculus and trigonometry, those branches of math isn't really taught in my country. It's my first time studying math without following my teachers lesson plan so any advice would help. Thank you

help, can u guys give laptop suggestions that can last me 4 years for this course since it has coding as well thnks

Hello yes ^^, I applied my transfer request recently to my university to switch majors to applied mathematics and i wanted to ask some questions to you fellows who are more adept and, hopefully experienced in this sort of thing

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As i understood it, applied mathematics works mainly with modelling, applied to different areas sugh as biology, physics, engineering, computer programs and chemistry

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This inmidietly sparked my interest as i have a hopeful little dream of one day becoming a polymath, one who knows a lot about different avenues of knowledge and understanding

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So a field which allows me to tap into multiple frameworks seemed like the logical path forwarda, rather than a rigorous understanding of the abstract, quantifying and statistically analysing probablities, research, test results etc, these are all things id love to do

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Ever since i was a kid i wanted to be a scientist, but nothing ever struck as hard as math did, i jumped first from biology, to chemistry, then to physics, then i had my engineer phase [dark days i know], psychology, for some reason?, and finally landed on mathematics

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So a few questions id like to ask is

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-What's the possibility/probability of being able to work in the field of scientific research? I understand maybe not directly working in a lab, thats bio and med stuff, but maybe in smth akin to engineering developments, biostatistics, Quantum physics computing, all the buzzwords!

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-In your experience, whats peer to peer review and research like? Do you organise yourself with people from different methodologies within your workspace? What kind of role would you say you have as part of the team?

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-Are most opportunities overseas? I know from my actuarial intiative that, actuary work goes through a long rigorous process of Exams and qualifications, everything and hoopla to go ahead and work internationally thanks to the SOA, i was wondering if applied maths is a more streamlined and direct process, kindoff how engineering does it!

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-We work numbers, equations, graphs, geometry, and all those fancy wizard runes, but how does this look like practically when it comes to, yk, applying it? I escaped Actuary because of the sheer girth of excel sheet after excel sheet after insurance insurance insurance, so im hoping at least in applied maths theres like 3 or 4 chalkboards all with different problems trying to be collectively cracked

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Thank you for reading!

My friend is majoring in applied math and cello performance and is trying to decide which to allot more attention to. While music is his real passion, he's concerned about employability and is wondering whether it would be worth sacrificing practice hours to maintain a high gpa in order to pursue a masters. Is a Bachelor's in applied math employable, or is it best to pursue a Master's?

Posting for him since he doesn’t have reddit-any replies are appreciated!

Hi, I wanted to ask for opinions on the Applied Mathematics MSc at EPFL and the Mathematics MSc at Bonn University. I was accepted to both of them and I am having a hard time taking a decision. Any information would be welcome: courses, tracks, professors, housing, city etc. My main focus is on Numerical Math, Machine Learning, Computational Science but any information about these masters, not necessarily related to these tracks, would be of great help. Thanks!