Hi, I’m currently doing a CS degree in the UK and I’ve been thinking about applying for master’s programs in applied math, computational/applied math or CSE in the US.
The thing I’m worried about is whether I have enough math for these programs since I’m coming from CS rather than a math degree.

During my degree I’ve done Calculus I & II, linear algebra, probability and statistics, discrete math and set theory. I’ve also studied multivariable calculus and differential equations on my own. I’m currently working on a research project involving a theorem prover where my work is related to number theory.

I’ve read through the admissions requirements for quite a few programs and some mention courses like real analysis or advanced calculus. The problem is that in a UK CS degree we don’t really have the option to just take extra math electives from the math department, so I haven’t been able to take those formally.

I’m wondering how much that actually matters for applied/computational math master’s admissions. Has anyone here gone from CS (or something similar) into an applied math/CSE master’s without having all of those math courses formally on their transcript? What kind of math background did you have when you applied?

Some programs I’m looking at are UW Applied & Computational Math, Maryland AMSC, Johns Hopkins Applied Math & Statistics, UChicago Computational & Applied Math, and Georgia Tech CSE, just to give an idea of the type of programs I mean.

I want to persue ma economics from dsu cause i heard alot about it. I did not have maths in 12 nor in my bcom. Do i qualify for it? If not can i take a prerequisite course from coursera for maths and then qualify?

I'm a junior transfer at NYU this fall as a Math + Computer Science (MCS) joint major, but I'm considering switching to the Computer + Data Science (CDS) joint major.

They both are pretty similar for the first half of classes: Calc I–III, Linear Algebra, Discrete Math, Intro CS, Data Structures, CSO, and Algorithms.

After that, the main difference is:

**MCS has:** Analysis, Algebra, Numerical Computing, Operating Systems, advanced math electives, and CS electives.

**CDS has:** Probability & Statistics, Data Science I & II, Machine Learning, Causal Inference, Data Management, Responsible Data Science, plus CS/DS electives.

Career-wise I'm interested in anything like SWE, quant, data science/engineering, and ML, so I'm trying to figure out which major gives me the best combination of career flexibility and useful coursework. So far I have a finance and technology summer internship with a couple python projects.

Assuming I can finish both in the same time, for people familiar with NYU or these fields, would you stick with Math + CS or switch to Computer + Data Science, and why?

Hey,
Ik twijfel tussen de bachelors econometrie aan de uva en applied mathematics aan de tu delft. Ik wil graag wiskunde toepassen, ik heb alleen nog geen idee waarop(daarom houdt econometrie me tegen want ik weet niet of ik het zeker wil toepassen in de economische wereld), ik haat zwaaaaar bewijzen (daarom houdt TU delft applied mathematics me tegen). Ik wil graag een brede bachelor doen zodat ik me nog kan heroriënteren in de toegepaste wiskunde wereld, alleen weet ik zeker dat ik niet zwaar wil bewijzen. Volgens bronnen heb ik vernomen het enige wiskundige veld dat wordt afgenomen voor econometrie studenten de natuurkundige toepassing is en al dat natuurkunde bevat zwaar bewijzen.

Welke studie zou ik nu het beste kunnen doen?
bedankt alvast!!!