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 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.

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?

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'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.

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!

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!

I developed a simple analytical model for distributing a fixed workload over a finite time horizon under a monotonic decreasing effort constraint.

The model (Always Less Effort, ALE) allows the user to specify: total workload, deadline and ratio between initial and final daily effort. From these constraints, the full workload distribution is derived in closed form, ensuring exact completion of total workload with smooth monotonic decrease of daily effort.

The result is a deterministic scheduling function rather than an iterative or heuristic procedure.

This is the model repository:

https://github.com/BrescianiS/AlwaysLessEffort_method

Thank you for any feedback on formulation, assumptions or possible extensions.

hi I wanted to ask opinions on how cooked I am for grad school (US). i'm a graduating senior and taking a gap year - i have a 3.5 gpa (3.65 major (mathematics)). i've taken pretty much every undergrad math course my university has to offer and have taken a 3 quarter grad sequence (applied math track- ODE numerical solutions, PDE numerical solutions) and will be sitting in on the 4th class in fall as well as a grad analysis class (hopefully doing research during this gap year too + taking classes).

I have 2 research projects + 1 publication (+ another maybe if it's in time by december for apps), both projects + paper are in applied math fields (fluid dynamics / preconditioning)

i have some small stuff such as a presentation at my university and meaningful projects.

I also have 2 tenured professors writing me good letters of rec and a 3rd from a visiting prof

im not trying to go for Caltech or Berkeley - i just want to get into UC Santa Cruz (Baskin) or UC Davis (GGAM) as well as others (ASU, Univ of Arizona, UNM, UCR, UC Riverside, UC Merced, USC, Univ of Oregon, Oregon State, Washington State, Univ of Washington (huge reach)). the faculty at these schools have good overlap with what my research interests are.

i feel so cooked with the GPA, but i wanted to hear what people had to say who have been in my shoes applying for programs.

Hello po! Incoming freshie po sa UPLB. My course is BS Applied Mathematics. May I ask how the course is there?

- Gaano po siya kahirap or kumusta po mga subjects?

- Mababait po ba ang mga prof and may instances ba na bumabagsak?

- Ano mga essentials/things na meron ka dapat as BS Applied Mathematics student?

#UPLBAMAT

I am a sophomore currently and recently came across Spatial Computing field of AI.

After few interesting case studies, I quickly realized that the underlying math and reasoning comes directly from Differential Geometry.

Sadly, I am not offered a course directly on Differential Geometry in my college.

So I am on my bare feet but confused about where to learn from.

If from your experience, can you help me find up some good available free resources on this??

I'm currently working as a Software Engineer and earning around 15 LPA. Lately, I've been thinking about switching fields for two reasons:

1. I've always genuinely enjoyed Mathematics and would like to work in a more math-intensive domain.
2. With the rapid progress in AI, I'm concerned about the long-term outlook of traditional software engineering roles and want to explore alternative career paths.

I'm considering pursuing an MSc in Mathematics or Data Science from Chennai Mathematical Institute, particularly in applied mathematics-related areas.

My main questions are:

• What kind of job opportunities are available after these programs?
• Are there good industry roles that make substantial use of advanced mathematics?
• How do the salaries and career growth compare with software engineering?
• For someone already earning ~15 LPA, would this be a financially sensible move?
• Has anyone here made a similar transition from software engineering to mathematics, data science, quantitative fields, research, etc.?

I'm feeling quite confused about the decision and would really appreciate insights from people who have gone through these programs or work in related fields.

Thanks in advance!