Master of Mathematics Puns

Hi everyone,

I am interested in algebraic geometry and number theory. And hope to apply for a doctoral degree after the master's program.

Is there anyone that could provide me some advice? I would like to know which university has better courses and better teachers. Moreover, I would like to know where graduates in this direction can generally go to doctorate or follow which professor to pursue a doctorate?

Thank you!

Were you made to believe you were bad at math? What made you end up studying math and how did you pick up the foundational skills to succeed in advanced math? I was fed the myth that I was bad at math. I did well in Calc I in undergrad but also had undiagnosed ADHD. I’ve been treated for ADHD for a year and with confidence I’ve gained back I’ve started taking math to apply to graduate school. I need to go up through real analysis and higher proof based math to do a Masters in Stats and PhD in Econ. Just wondering what I can do to improve in math and actually understand it going into Calc II.

Finished undergrad in Finance/Eco around 4 years ago (and level 2 CFA candidate), so far I've just been working as a portfolio analyst doing asset portfolio construction/ allocation/research work at a small pension fund. We meet a lot of PMs and recently I've been very keen on quant strategies and I've noticed many of the people working there have a Masters or PhD in Comp Sc or Mathematics/Stats/Physics.

1. Is it worth pursuing one of the these degrees to get a break-in. I'd imagine it's borderline impossible without a quant background? Once I finish my masters degree i'll probably be around 28 (is that too late to break in?)
2. Which one is preferred in industry Comp Sc or Mathematics/Stats? I can pick either one and minor in the other. Maths degree will take me longer and is more expensive to finish (have to do some pre-req subjects).

I'm thinking maths is better since learning programming skills is cheaper online with coursera, udemy, etc.

Appreciate any advice or guidance on this. Thank you!

Hello,

I am a third year bachelor student at EPFL in Mathematics. I am interested in doing a Master in Computer Science at ETH Zurich next year. As a student in Mathematics, I was wondering if it was still possible to be accepted in this master program, or should I try to focus my application in an other master program.

Related classes I took are Algorithms (5.25), Linear Models (5.25), Numerical Analysis (5.75), Advanced Numerical Analysis (5.75), Programming I and II (5.25 and 5.5). This semester I am taking Machine Learning, Applied Biostatistics, Numerical approximation of PDEs, Times Series and Stochastic Processes.

My two first year average grade is 4.5 and my third year is going great right now with a 5.5 average.

I am particularly interested in Software Engineering or the master in Data Science. As far as I know both programs share a lot of classes, but DS seems really hard to be accepted in. Which programs do you think a mathematics student would be more likely to be accepted in? How good do you think are those master programs to find a job in Swiss industry after graduation? Have you ever heard of any student coming from a bachelor in maths and transitioning to a master in CS?

tl;dr: am mathematics student from EPFL. I want to study CS or Data Science at ETH. I don't know if it's possible.

I know these career guidance questions are posted seemingly once per week, and I read through the responses eagerly, but I'm still unsure.

I've decided I want to pursue a career in stats, but I'm not sure which degree would be right for me. I come from a science background, studied biostats in my undergrad, and I generally love epidemiology. However, I've actually found myself attracted to the mathematical side of the statistical processing. I've never liked maths before, but just rather used it. Furthermore, I have no talent for maths. It takes a lot of hard work for me to learn maths, albeit it seems to take less effort for me to learn the maths surrounding statistical processes, probably because it's maths that I'm actively interested in. I already have a firm grasp upon all the basics like t-tests, ANOVA, correlation, regression, chi-square, and the non-parametrics like Mann-Whitney U, etc.

I'd also like to keep my options open to maybe delve into the business and finance world. I love science and epidemiology, but everyone knows there's more money in the world of business and finance.

TL;DR: I come from a science undergrad, but I'm starting to enjoy maths, and want to be a well-rounded statistician. Which kind of degree is best for me?

Hi My career deflected when I joined engineering and moved away from Mathematics.

I want to study by myself everything they teach in bachelors and master course in university for mathematics.

Is there any online curriculum which I can do for free? I checked mit ocw it is bit incomplete. With not all subjects have lecture and videos?

Thanks in advance.

Hello everyone,

I need advice and help with careers I can pursue with masters in financial mathematics. I am really confused how I can move forward with this degree. I generally don't like a desk job and like working in a fast paced environment. I don't mind the long hours. I have some programming experience as well in python and matlab. Please do let me know what are some of the job options I have with this degree.

Thank youuu!

I have always been interested in studying about our universe. Used to borrow books from the library and read astronomy books for leisure. I did my undergrad and postgrad in mathematics. In a span of 2 years I did 3 projects in the field in various top institutions in my country. One leading to a paper even. But all these projects I did as a unpaid intern. I had to earn and save some money for my PhD applications. So hence the data science job, which I felt was relevant as I want to pursue observational astrophysics. I am writing my GRE general next month and GRE physics, although optional for Astrophysics, in October.

As a person who doesn't have much classroom physics background, I request some guidance for GRE physics preparation. How to go about it in the next 2 months.

And I would appreciate if someone could let me know about universities with good astro department. I am not ambitious and not expecting top tier unis as I don't have a physics background. My CGPA is 8/10.

Thank in advance for all your help!

Title says a lot. Essentially, Im working at a university where part of my salary includes free tuition for classes/degrees. Im thinking it would be stupid of me not to take this opportunity to get a Masters in something. Ive been between statistics and compsci, but to be honest compsci has always been more interesting to me. I would have studied it undergrad, though my college didnt offer it.

I have had mediocre experience in programming; most impressive is probably a matrix maze generator and random path finding, nothing too crazy. I guess I am feeling intimidated with my lack of experience, and wondering if I can break out into the field without having a bachelors. Any advice/tips for me? Any one who has done a similar path?

I see a lot of people worry about their math skills on this sub so at least I have that going for me...

Anyone in this program or have any info? It seems to be more robust than the other options at other universities-- most of which focus on stats. Anyone in this program online from out of state? Are your FAFSA loans covering you?

How is the program overall? What's your experience? It appears to be a more generalized master's mathematics program.

Thanks for any help!

I'm applying for admission in 2013 and interested in getting some opinions from students in the program. Mainly how you like the night class only format, if you've had success finding internships/employment locally while studying, and how you feel about your employment prospects locally and out of state once you graduate.

Hey guys, so I plan on applying for a masters degree in Data Science, however the uni that I plan on applying to offers this degree from the Mathematics faculty. I have a CS degree (i graduate in December) and no minor in Mathematics. Are there any books recommendation so I can start working with the Maths involved in Data Science?

Hey all,

I don't know if this is the right place, but I'm sure there are a lot of Phd students in math that might be able to help me out. I transfered from a community college in California to Ucla in mathematics/economics. Its housed in the mathematics department, but includes coursework in economics. Its designed to feed into econ phd programs which I thought was what I wanted to do. I had a near 4.0 at community college (one B) and got into Ucla no problem.

My first two quarters at Ucla, I kicked ass and got 4.0's. Then I broke up with my girlfriend of 6 years and went through some massive depression. I ended up withdrawing from the third quarter of the first year because it was so bad. I then continued with my degree and never got below a B in any mathematics courses, but I ended up failing a couple non-major courses and just generally doing bad in everything but math. I just really liked math and it came natural to me even despite the depression and excessive drinking.

So I ended up with a 2.92 Ucla gpa and a 3.97 community college gpa. In my major classes it wasn't as bad and as I said in math I was fine even though not all of my major was math so there weren't as many math classes as a pure math major.

This of course immediately disqualifies me for alot of masters and Phd programs. They usually have a 3.0 requirement in the last 90 quarter units. I have to add that in the last 90 quarter units one of the first A's I got wouldn't be included since I took just above 90 quarter units.

I have found a few less restrictive schools that I might be able to get in for a masters. I want to do it online to save money and I've found a few state schools that offer online masters in math that I could probably get into.

Really my question is: would it even help as far as getting into a Phd program. The nice thing about it is I could make up for having less classes in pure math and I could do good and get a good grad gpa, but most of the phd programs I've seen require a 3.0 for the last 90 quarter units of undergrad so I wouldn't even be able to apply.

I'm also nervous about letters of rec. I've got two. One is strong but not math related (it was from a research project I did at Ucla programming a pretty complex econ simulation for a professor that took a couple of years). The other I could probably get is from a community college professor in econ. We had a tight relationship and he thinks highly of me, but that's pretty weak. I think it would be hard to ge

I am about to finish up with grad school and I am hoping this sub might provide some job ideas I might not have thought of.

I have strong analytic skills, problem solving and I can break down a problem and explain it extremely well. I have some programming skills, in C and Java (about a year of entry level programming courses in undergrad) and would be willing to do on-the-job training for programming. If there are other skills or questions I can answer, I’ll be happy to.

I've been going through the process of writing up my paperwork for my applications and have no idea which to use. In either case it will be pretty barebones I have little to list aside from my degree I'll receive in May and my work as a Math tutor for the college as I have no research experience aside from what we will do in senior seminar next semester. What all would be good to include? The goal school is VT if that is relevant and my undergraduate degree coems from a branch campus of UVA.

Hello,

I am an international student who graduated from a US University for undergrad (B.S. in Economics; triple major; 3.48 GPA) and I am back in my home country.

I am currently looking to apply to Master's programs in the US (Looking at MS or MA's in Economics/Applied Economics) however I feel like I would need to revamp my Calculus background (Only took up to Calc 2 and did not have amazing grades in those two classes) in order to have a chance at a good program.

What would be the best way to improve my background to become competitive for master's programs? I have read online that most students take single-standing courses at their local universities however due to curriculum differences/quality of education that might be hard in my case.

Is there any online program that would be beneficial or which would equate to taking the class in person?

Thank you for the help

Hi all,

I posted this (or very close to this) in /r/IWantOut recently. It was suggested I ask you kind folks for any insight!

I recently received a masters degree in computational mathematics in Australia. I have experience in python/c++, statistical/scientific computing. I to stay in scientific computing if possible. Looking to work in Germany for a while, any advice on where to start looking for jobs? A google of 'scientific computing jobs Germany' was not as amazingly helpful as I had hoped ;-)

I have a UK passport so work visas are not a problem, but I do not speak any German (well I've taken one basic course).

I did this yesterday, so today's numbers are not included. I was a chronically high math/computer science double major, did all of this DD while high, used yahoo finance and S3 screenshots, and am still holding my 39 shares @ 250, so I don't know shit and this could be completely wrong 🦍💎👐🚀

a. as of 1/15 there were 61.78M shares shorted out of a total 46.89 shares available to short

b. according to S3 estimates, shorties didn't start covering until about 1/28

c. total volume of gme since 1/28 (inclusive): 58.82 + 50.26 + 37.38 + 78.18 + 42.7 + 59.75 = 327.09M

d. weighted average of gme price (upon close) since 1/28 (the weight is the price's respective volume as a percentage of the total volume since 1/28):

193.6*0.1798 + 325*0.1537 + 225*0.1143 + 90*0.239 + 92.41*0.1305 + 53.5*0.1827 = $131.9987

e. assuming shorties played a game of numbers and DCA'ed, $131.9987 should be their estimated average cost per share

f. current estimated short interest is 39% (18.2871M shares), so the amount of covered short shares would be: 61.78 - 18.2871 = 43.4929

g. estimated total cost to cover (d * e): 131.9987*43.7929 ~ $5.7806B

1. we know this estimate is lower than what it really is because in our calculations we assume that only shorts are covering and no new shorts are being opened between 1/15 and now, however, in S3's estimates, short interest is accumulated after it's first decent from the range of 126% - 131%, therefore more shorts must have been covered and new shorts opened

2. we don't know how many shorts covered nor how many new shorts opened, but I would guesstimate this isn't greater than a factor of 3 (I know, shit mathematics right here, but we don't know these numbers, so this has to be a ballpark estimation)

h. estimated amount spent on gme since 1/28 (d * h): 131.7428*327.09 ~ $43.0918B

i. given that $43.0918B was spent and only $5.7806B (within a factor of 3; so max 17.3418B) was spent on covering shorts, it is possible that shorts have covered the amount reported by S3

*this doesn't account for option plays nor does it account for short ladder volume (I don't know how I would find that)

🦍💎👐🚀

Are they taught the 'basics' and go from there? I know that some folks 'catch on quickly' but 6 month old children playing violins and solving differential equations must 'catch on' differently.

This is what I have so far, because he'll need just about everything.

PCPartPicker part list / Price breakdown by merchant / Benchmarks

He doesn't do gaming at all. He'll mostly be using this for things like matlab or other mathematical programs for fun and for his research when he's not in his office. Thoughts?

There are 3 lanes. Let's say you play mid. There is 50% chance that your top lane feed or not feed. There is 50% chance that your bot lane feed or not feed.

Top wins - Bot wins = 25%

Top loses - Bot loses = 25%

Top wins - Bot loses = 25%

Top loses - Bot wins = 25%

Probability table shows that 25% of matches you are gonna lose no matter what happens. Since every lane loses. 25% of matches you are gonna win no matter what happens. Since every lane wins.

Which means you don't have control over these games. 50% of matches you have no control over.

The other 50% is 1 lane wins - 1 lane loses. These are the matches that you need to show your skills. These are the matches that you want to be in since you have control over the match.

This is the reason why no pro player can have more than 75% win rate. Statistically impossible.

Advice-1: Don't tilt when you have 1 feeder, enemy team has also 1 feeder. This is the match that you need to perform.

Advice-2: Don't tilt when every lane loses hard. 25% chance (every 1 out of 4 games) it is gonna happen. But it will neutralize itself with 25% chance of "everyone wins their lanes". These are the games you don't have control over.

Bonus Advice: You are just 1 of the 10 players in the game. Which means you only impact 10% of the game and 90% is out of your control. It is actually crazy that high elo players can reach 70% win rate with 10% impact on the game. Always try your best at the match.

I'm a college student, and I'm thinking about getting a minor in math or even switching to be a math major from chemistry. I am a very philosophically-minded person, but I'm quite comfortable not getting a philosophy degree knowing the career path and job market. Math is attracting me because of the qualities it shares with philosophy, but I want to see if I'm just hyping it up and there aren't that many similarities or if there's some truth to my idea in the title.

Thank you!

Hi everyone,

I am interested in algebraic geometry and number theory. And hope to apply for a doctoral degree after the master's program.

Is there anyone that could provide me some advice? I would like to know which university has better courses and better teachers. Moreover, I would like to know where graduates in this direction can generally go to doctorate or follow which professor to pursue a doctorate?

Thank you!

Hi everyone,

I am interested in algebraic geometry and number theory. And hope to apply for a doctoral degree after the master's program.

Is there anyone that could provide me some advice? I would like to know which university has better courses and better teachers. Moreover, I would like to know where graduates in this direction can generally go to doctorate or follow which professor to pursue a doctorate?

Thank you!