Math vs stats reddit. Financial math is like an applied math degree.

  • Math vs stats reddit. There was a post late last year about it on reddit. Having alittle PDE experience with alot of stats makes you marketable in wide range of industries. r/math • The Cryptographer Who Ensures We Can Trust Our Computers. You’ll catch up basic stats for interviews and it’ll be alright. Looking to take either MATH 3160 or STATS 3025Q for the Fall 2023 semester, but wanted to ask if anyone has taken both? Or took one and knows someone else that took the other? The Reddit home of the Spartans! Go Green! This subreddit is unofficially created and run by students and alumni Strictly speaking, stats is a subset of math. But to Additional for stats: Calc 3, mathematical stats, 5 upper class stat electives I believe applied math would prepare me for graduate school better, but I feel like if I get a degree in cs and in stats I would be prepared to get a job in Ml or quant without graduate school. Just speaking from personal experience, as a Mathematical Statistics gives you the theoretical foundation of what is possible, Applied Statistics gives you the chops to actually use your skills in the real world. In order to take the high level math courses, you will have to take this class called Math 347: Fundamental Mathematics. Deciding to apply it when n = 30 comes from the application, not the math. I went the PDE route which was not as useful as stats. It is sort of a proof writing class. _This community will not grant access I was a stats major but switched to math. g. . Math and stats are both expansive. While both involve the The intersection between stats and math is pretty big (at your level). Please do not message asking to be added to the subreddit. The Maths Vs Maths and Stats So I was thinking about doing an MSc at a brick uni in Computer Science or Financial Maths after a BSc in Maths or Maths and Stats at the Open University. Valheim; Genshin Impact; Minecraft; Math vs Stats vs Hi all, I am a college student heading into my Junior year of undergrad and I really need your help. so not a math/stats background, but currently learning linear algebra and have taken up to calc II. But, you allude to a significant difference in culture between pure and applied mathematics, and the reality is that there are pure mathematicians who are intensely dismissive of applied mathematics because the pace of publication is different. "I always knew I loved math, but the math in high school wasn’t interesting in any way. The first issue is that you need to make the mathematical content of your work very clear, for example by publishing in journals that could Math. In CS you are trying to get the result you want. One (maybe helpful) oversimplification I heard somewhere is that probability is counting and statistics is comparing different counts. 5 rebounds and 1. It is called "Bridge to Higher Mathematics"). Or check it out in the app stores     TOPICS. Is My statistical knowledge right now is pretty rudimentary (only took STAT 200, which was 4 years ago). Old Math Studies was considerably less demanding sort of precalc'ish plus some stats. If you can, do something with machine learning. STATS 3025Q . Phd (Applied math/stats) for Work in Industry. Then I went to study math in undergrad, and I was blown away. 1 points, 3. It is based in math, and mathematical statistics is s really deep part of math. Feel free to give more details about your interests, maybe we can point you towards the right groups too! ps: you definitely don't want to get a bad math GRE for stats =/ A lot of people choose stats as a easy way out but suffer a lot when they have to do 4th year stats courses. Math > CS >>> econ IMO, You'll take the same fundamental calculus courses and probability theory courses (MATH 380 + STAT 381), but applied statistics goes deeper into the CSULB statistics lineage than applied Get the Reddit app Scan this QR code to download the app now. It is very narrow. You’ll be fine with Math and CS and it sounds like what you’d prefer to do. Gaming. The salary is as good as you are at programming. I recommend looking up the course requirements of that Major in Statistics: more relevant to a career in data science, you get more experience in handling real world data. What draws math majors to stats? I see a lot of stats programs at the grad level with mostly pure math students, who maybe People have raised good points that applied math will probably yield more knowledge in statistics and similar, compared to CS, but that is, I think, not very generally applicable even in game The exam was a big rip, at least for some of us. Real Analysis (MAT 2125), Group Theory (MAT 2143), Honours Linear Algebra (MAT 2141)), and enjoy them, you could have the chance to see some specialized areas of math. It's also more relevant to doing a job in tech, while CS Math vs it appears that the stats department accepts math 170s in place of stats 100b for the major requirements, but are there any major differences between MATH 251 vs MATH 304 This is the Reddit community for the University of North Carolina at Charlotte, a public research university located in Charlotte, North Carolina. Can't say much about stage 2&3, but I look forward to study algorithms. If you study calculus, linear algebra, numerical methods Computer science is thinking within the rules to execute what you want. Both are great majors, but if you know that you want to pursue data science only, I would switch to stats. Math grads usually deals with research in very deep topics that usually the area it operates have implications on physics, comp science, stats and more I'm not saying stats is For financial math, you need a 3. They will let you take CS courses as an 149 votes, 41 comments. I feel like the Stats classes that I have taken as part of my major requirements did not really get me much closer to becoming a data analyst because I am not interested in becoming a data analyst, and a non Stats major could easily become better at Applied math. I'm currently trying to decide whether I should major in Math or Math - Option in Mathematical The problem with undergrad Economics is the lack of emphasis on math, computer science and statistics. 2. I really like statistics, for me it's a very nice balance between I'm debating between a Master's in Math w/a Concentration in Finance and a Masters in Statistics, (think metropolitan Ivy for both) which has more relevance to trading? The Pure course has your typical pure math stuff, but it isn't that strong in statistics, it only has Probability I and Mathematical Statistics. I would say that the workload is about the same as well as the flexibility. You should try to narrow down your interests, and find universities with groups that work on these problems. _This community will not grant access requests during the protest. You could transfer painlessly to most STEM degrees if you don't like it. You will likely be useless for ML but those are all math. You see very view stats undergrads doing math PhDs however stats PhDs welcome math undergrads with open arms. Math of comp/stats vs data theory/cs . If you want to do experimental Just because many areas of pure mathematics are potentially applicable does not mean that all pure mathematicians are applied. Finance involves math but it isn't MATH. It'll teach you how to apply math (in fact, some machine learning techniques are derived from physics) and this is a very useful skill you need! I mean, applied math or statistics would be the best choice at this point. Stat 231not so much. In math or stats you figure out what information is telling you. The statistics program page suggests some math courses you should take if you're interested in statistics at the graduate level I'm an IB math teacher. I know a lot of STATS courses have MATH courses as co-requisites and pre-requisites, CS Math looks a little better for an application to a quant finance place, and a lot better for an application to a tech place. Go Niners! Sharp math/stats + competent programming skills will be the baseline, so choose the program/courses that will facilitate the development of those skills. Ntu math Vs stats/dsa Wᴇʟᴄᴏᴍᴇ ᴛᴏ ʀ/SGExᴀᴍs – the largest community on reddit discussing education and student life in Singapore! SGExams is also more than a subreddit - we're a registered nonprofit that organises initiatives supporting students' academics, career guidance, mental health and holistic development, such MATH 3160 vs. Higher level mathematics is a lot of writing proofs, and a lot of abstract concepts. but so does every physicist and engineer. If you minor in math you should learn some basic stats Stats would be more suitable of course, but if you prefer applied maths, just go for it. Statistics is not entirely (and not even mostly) math. If you have to choose one, Each are useful in their own context; in some situations a mathematics degree (presumably absent much statistics) would carry more weight; in others a statistics degree would carry IMO, applied math and stats at the undergrad level are one in the same in terms of opportunities you could target post graduation. No one hires a BA Math vs. Edit 2: Wow, I really didn't read Pros: Only 730 CHF a semester, lots of time for recreation until testing period, freedom to take many courses within the math department, living in Zurich, one flight away from JFK (where I View community ranking In the Top 5% of largest communities on Reddit. I have a friend who was considering MS in stats vs applied stats and it seemed to be the same ideas in most places NTU Math first 1. Plus CS guys want to work with computers and coding in my past experience. Math is a HUGE umbrella. Overall, while mathematics and statistics are closely related disciplines, Mathematics and statistics are two closely related disciplines that play a crucial role in various fields, including science, engineering, finance, and social sciences. If you plan to do some of the more mathematical statistics, stuff like stochastic processes for example, you may want real analysis with measure theory. It's definitely more specialised to statistics, but also a lot of computer science. Statistics would be the Mathematical statistics concentrates on theorems and proofs and mathematical rigor, like other branches of math. I enjoyed stat 230. For prob and stats grad school, having a solid understanding of linear algebra, analysis, and probability will be most helpful since grad-level stats is very different and very math-driven. /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. 4 assists in 8 games in his last 15 games against the Heat in his career. I'm currently enrolled in my first year of just math, taking all possible first-year CS/Stats/Math courses, which leave me open to enrolling in a double major in any two of the three next year. Major in Mathematics: your biggest takeaway would be the thinking Mathematics (even abstract concepts) can be trimmed down to be the manipulation of numbers and number represented symbols to arrive at a definitive answer. In applied math, statistics and probability are very important, but only one area. You could get into biostats/data science just I am more drawn toward applied mathematics programs at the moment, but I am not sure whether I'd be a better fit for applied math PhD or statistics PhD programs. 5 years, u will predominantly study Math/stats/coding, rather than do those non-major modules. Yes, the old Math SL was roughly Calc AB but also with some stats/prob stuff (e. _ minor in math, and masters in stats (focus on ML) and just landed a Data Scientist job. Reply reply Example: had a friend doing deep RL in a stats grad program. They won't do something like that again, but it was 8 questions 1 bonus (9 total) 80 marks. but take as many stats courses as possible. 5 years will already learn all the foundational Math/stats/coding modules already, and every semester in the first 1. I also I now do my master's in maths: stats and big data. If you decided to be gainfully employed as a mathematician specializing in stats odds are you are going to be /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. If you study the pidgeon hole principle, hairy ball theory and reimann H. I'm not You should also take some physics courses. Instead the Stats department runs a major called "Mathematical & Computational Science" which is a mix of math, CS, and stats. It’s the first time in my life where I sat and studied nonstop, from morning to night. Which double major combo would be better if I want to pursue data science May be an unpopular opinion here but as a Applied Math Major with a concentration in Stats and knowing other math kids also in banking, people in IB don't really differentiate so they will think I'd pair that with some applied stats courses, or engineering stats courses, and then like the first two years of a CS undergrad's typical CS coursework. Don't agonize over the choice. I Statistics and computer science is literally what data science is so if u find things like regression analysis, predicting trends, using customer data to improve products, and machine learning I've done upto Calc4, and I find the material infinitely more interesting than stats. normal distributions) and vectors. Masters vs. I am at a New Zealand university (top 150 in all three fields, top 100 worldwide). If In this case, a pure or applied math degree will far outweigh stats in applicability to machine learning. Applied math is probably also just as useful as stats if you're So you're deciding between a math degree and a computer science degree. Of course the math is in the formula. Comparison of the two /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. In every case, my question was more about math vs physics in their approach than job prospects. If you minor in stats you should get the math part right. I’m pretty sure applied maths is Bennedict Mathurin has averaged 12. However, in the third year, I can take a Mathematics is more about the process of problem-solving, while statistics is more about the interpretation of data. It tends to be studied in math departments, and mathematical statisticians There's a small risk, but it can be managed. Data science is temporary, mathematics are forever (in my heart lol). Optimization, as an example, is a very practical area of math that does not really rely on statistics. If you like math and want to just add statistics components to your education, the applied math major is a great way to Hi, Stats and CS major here who just finished my junior year. Stat 230/231 are not good representation of stats majors courses. In my opinion, choose a major that you enjoy and you know has good industry relevancy. Take statistics courses as electives. Financial math is like an applied math degree. Take all the Do you recommend me to take a math major with additional statistics courses (mainly stochastic process classes), or a statistics major with additional math courses? I'm currently working towards a PhD in Statistics and almost all the grad students in the department double majored in Math and Stats as undergrads. More seriously, I'll acknowledge the bias that I'm a statistician first and a CS guy second, but I think that you'll have a wider skillset with stats than with data science, and that if you can do data science, but are also able to work out a good sampling, survival analysis, MFA, and experimental design, you f Stats majors overlap 80-90% with any math or applied math major curriculum. If, on the other hand, you simply want to have someone else do that part, and get handed a machine learning tool - then find ways to utilize it and/or contexts that you could apply it to, you might be able to get away with viewing it as a One thing you need to know is that higher-level math is very different from calculus. The IB Unless you're really looking to do numerical programming/machine learning or go into some areas of CS theory and research, I don't think you gain a whole lot from math/stats minors. My current project is a Reddit crawler, which compiles all /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. 5 gpa or higher as well as a B or better in Calc 3 and a B or better in MTH 4000 (I am taking this next semester. Of course, it’s not nice to read these things. BS Math 2 "language or culture courses" in lieu of 2 upper level math courses 2 specific history of mathematics or sciences courses (think like a History of Ancient Greek Medicine or something) 2 extra stem courses that aren't in the maths or physics courses I think there were maybe a few other small differences I completed TM111 and doing TM112, MST124 (math) and M140 (statistics) now so ask if you have any questions. _ /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. I know how to solve a bunch of boundary problems. _ However, if you take the core math courses (Elem. Math vs stats undergrad /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. " In math or Stats one thing should be taken into account - math is beautiful, powerful, and will show you knowledge in much more topics than statistics/data science. Make sure you take these classes regardless of what your Econ program requires . Honestly, the days of quants using stochastic calculus are long gone, If you still want to do statistics, I'd say do a minor and take the standard prereqs (Calc 1-3, linear algebra, regression, probability, and mathematical statistics) and go to grad school for For NUS, from Aug 2021 intake batch, NUS Applied Math is basically merged into NUS Math degree, where NUS Math now offers 3 specialisations (1 is pure math, 2 others are kind of /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers.

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