Best statistics masters programs reddit
Best statistics masters programs reddit. That means it’s 5-10 times harder to get into a top 10 PhD program in philosophy than it is to get into Yale Law. Plus Data Engineering, Dev Ops, MLOps etc. Truth is a Masters in CS, and learning the Stats on your own would be much more efficient use of time. Loyola Chicago MS Applied Statistics. I'm in GT's OMSCS program. if you put in all that comes before, the degree is just a formality. If you want to pursue research in industry then a PhD is heavily preferred. Applied stats more hardcore math, data science less hardcore math, more coding and soft But it's a ridiculously easy test and you can score above 330 even with 2-3 weeks of prep. I'm currently enrolled and I love the program. Basically I live in R Studio. I'm pretty unfamiliar with grad schools in general so not sure how likely I would be to get in. An MBA from a top tier business school (like Wharton, Booth, or Harvard), is probably the most lucrative masters degree out there. And is probably closer to "Data Science" than a pure Stats or Biostats program. Fallingice2. Even an MS in Engineering is a research degree. Top programs routinely get over 500 applicants for 5-10 spots, an acceptance rate of 1-2%. It was a lot, but it was valuable. University of West Florida has an online synchronous masters programs in math sciences. The interview was really hard, but as it seems, I managed to do really well, and they accepted me. PhD applications, especially at elite programs, are unbelievably competitive. Don't go for the degree. I looked into Colorado State's online Applied Stats program during my search and it seemed pretty good back then. ) You can see an info primer in the FB page of the UPD College of Science. I actually think the statistics title might give you more options to do more stats stuff. I had my undergrad in computer engineering so it was a joke. You might want to also check out quant psyc and industrial/organizational psyc programs. Research analyst for a small data/business strategy consulting firm. Then average graduation salary and job placement rates. Immediate entry into Silicon Valley tech, as they usually poach final semester graduates. Michigan State and Arizona State are strong programs. Some people I know who have multiple masters degrees are working professionals looking to acquire new skills. a) Only aggregates data for graduate school programs ( Masters, PHD, Graduate Certificate, online Master's). University of California, Davis: Statistics. University of Wisconsin-Madison: Data Science. Completed my undergrad in data analytics and I'm now considering an online masters in applied statistics. For ~$7k total its a total steal. I have been starting the process of looking for grad school programs in statistics to apply to and am having a very hard time getting past searching "best statistics graduate programs" on google. 11 votes, 22 comments. You don’t need to spend 50k on a masters degree. One line of work I'm considering is analyzing data/data mining in industry or possibly something else data-related. A forum to provide dissemination of applied behavior analysis (ABA) and evidence-based research, assist the public in understanding the science, and to promote conversation between BCBAs, aspiring BCBAs, BCaBAs, RBTs, and others who are interested. GPA: generally the cutoff for most programs is a 7. It seems like these ones are recommended around here (amongst others): NC State, Texas A&M, Colorado State, Penn State. They were early adopters in the supply chain Revolution, back when traditional powerhouses like MIT, Michigan, and Texas were still stuck in the “Operations Management” paradigm. If you want to do education, fine, get any math master's. If you want the title of professor you need the PHD. A common thread (for masters programs) is multivariable calculus, linear algebra, probability theory, and then occasionally some Undergrad School: University of Maryland, Baltimore County (Baltimore, MD) Degree Applied For: Doctorate. Does anyone have an experience or opinions UMich - MS Biostatistics. It is a 2 year program compared to Boston which is 15 months, and I also have the opportunity to do a capstone project which I think will be beneficial in my career outlook. Please help me choose the best California State University for Statistics. Award. Whooo told you that your GPA is mediocre. Others will take a class or two at a time as a part time student. ago. The University of California—Los Angeles requires applicants to its online master’s in data science program to submit a GRE score The program design matches your interests: Some programs are very open ended, they require you take x number of classes, and x-2 of those classes are electives. A history student might think "Well a masters in history is a very standard step to prepare for your PhD program". MS in Data Science, New York University. • 3 yr. A lot of graduate programs have statistics as their limiting factor, and would love Option 3 is a pickup degree option in the new PhD DS program when you choose to enter the straight PhD option. I think you focus more on getting good grades in the masters program. Look abroad. I just got my first letter from PhD programs this week. This sounds like a nice chill job! shii I'd like a job that was R heavy. University of Minnesota: Data Science. com. • 9 yr. My program required everyone to do a comprehensive exam, an internship, and a thesis. University of Wisconsin-Madison: Statistics. However, if you want to design studies and work on methodology,along with the analysis part, you'll need a Phd. My top choices are San Jose State, San Francisco State, and Cal State East Bay. I will be applying to PhD Statistics programs a year from now. harvellt2. My cycle this year was abysmal, and I got into one funded MS program at a terminal MS stats program, and no PhD programs. University of Tartu - Computer Science curriculum with specialization in Data Science/Machine Learning - has great ML courses like Machine learning 1, Data Science, Machine Learning 2, Neural Networks for base ML knowledge, additionally options to specialize into many fields with courses like NLP/RL/Bioinformatics/Image etc. I was wondering if any of you could help me figure out my chances of getting into a stats masters with these kinds of grades. So, choosing a university completely depends on your preference and choice of parameters. The quality of school doesn't matter that much for industry, and all Ph. the-nerdy-dude. A. One goes to a research program to conduct high quality research with the hopes to significantly contribute to a body of research. • 5 yr. If you are applying for programs now you can expect 2100 a year for tuition. You're probably looking at a PhD rather than masters, but you'll almost certainly get full funding A word on rankings for PhD programs in statistics and choosing programs [Q] Question. 2GPA in CS An MS from UWash would definitely help you get into a PhD program, as long as your professors like you. A lot of the classes had to spend time helping people learn how to code. It is also accepted by Harvard towards a masters in statistics and data science. Here are some of the Top MS in Data Science Programs in the US -. If you're in EU: RSM Erasmus or WU Vienna. A strong math background is much more important than a stats background for those programs. 2 out of 4 is pretty impressive bub! Go for it, ull get a good school with a decent GRE score. A good field for statistics majors is data science and I think if u can develop really good programming skills and relevant experience to supplement this it won’t matter what university u went to. • 2 yr. The graduate-level MITx Micromasters in statistics and data science coursework is accepted by MIT for qualification for a Ph. #7 in Statistics (tie) Save. Undergrad Major/Concentration: Mechanical Engineering (focus: structural dynamics) Major/Concentration Applied To: Aerospace Engineering. I am currently an RBT, but want to get my We are talking about an MS in Statistics which is an academic and therefore research-focused (not professional) degree. You'll probably need to learn a lot of stuff outside of class (programming and such) to make that happen. GWU - MS Health and Biomedical Data Science (new program, apparently an upgraded, more application-based program compared to their old MS Biostatistics program) I'm still waiting to hear about scholarships from Emory, and GWU is giving me a total of $32k in scholarships while UMich and UW My data science program assumes no previous experience with programming. However, my background in statistics is somewhat limited and recent (2 calculus-based statistics courses and 1 graduate physics course that focuses on exerimental data analysis), as are my programming skills (mostly C++ with ROOT). Depending on the school, I’d say a data sci masters is preferred over a PhD in a non comp sci/math/stats field. It has aggregated data from 1200 universities so far. 4 CSU gpa. The answer should really be: some data science master's are worth avoiding. A math student will think "Will, a masters in math seems useless, so a masters in stats must be as well". For each academic program, check out their placement statistics with a keen eye to see exactly how many went into what fields. In fact, they would prefer a strong math student to a strong statistics student. 2 on its list of best statistics master’s programs. When picking a school, I think it can be important to figure out what the school is going to require of you. From what I've seen, most Statistics Masters programs require Calc I, II, and III, Linear Algebra, and an Intro Statistics course. Basically, does anyone on here have 1st or 2nd hand experience of A class in optimization would be good. 11 Online. is rarely financially worth it if you aren't strongly considering a career in Academia or Academic Research. On top of that, take some programming classes. It was an acceptance from UNC's Biostats PhD program. A score above 320 will put you in a safe spot for most universities, except for places like caltech or Berkeley. It's going to depend on the program and their requirements, but for my M. Jan 2, 2024 · The University of California Berkeley consistently tops US rankings in scientific fields, including biological sciences, ecology, and statistics, though the school’s statistics master’s program is in the arts. UW-Madison MS Data Science. Looking at the Yale-scaled number as a very rough proxy for probability of getting a job in legal academia depending on law school attended, they appear to divide up roughly into tiers, in terms of per capita academic placement: YLS (about 8% of graduates) SLS, HLS, Chicago, NYU (~2-3% each) CLS, UVA, Michigan, Berkeley, Duke, NU, GULC (~0. Edit: sorry I skipped your question on the thesis option. Northwestern University allows the coursework to be used in a masters in statistics and data science. damNSon189. Reply. Yeah, I’m leaning towards the university of Washington. MS in Computational Data Science, Carnegie Mellon University. MS statistics student here, and recent BS statistics graduate. If you like programming, interpreting data and working on projects assigned to you, it's a great option. Go for the course, go for the learning, go for the time, the technology, the networking, the mentality. Anecdotal data point for you to toss in your hat. Short answer, yes. edit: no idea why this is downvoted. you can tailor your electives towards biostatistics. If you search around the school program pages, you'll likely see them list what kind of courses they expect in successful applicants. UChicago MS Statistics (10% scholarship) Duke MS Statistical Science (75% tuition remission, TA offer) Cornell MEng Operations Research and Information Engineering (possible financial award, but not expecting anything) CMU Master of Computational Data Science. Marquette MS Applied Statistics. 50. 8. I am considering these two offers for MS in Statistics The programs largely suck. D. PositivePh. As the title implies, I am an accounting graduate, and I just got accepted into a master's program in statistics. If you didn't mind economics, just go for a master's in economics as well. Want to burn cash, get a masters in business analytics and revel in your shallow understanding and limited skills. Tl;dr: I messed up in undergrad but still want to go to grad school (after working for a year or two in an entry-level role) for statistics, data science, predictive analytics/forecasting, AI/ML, or a closely related field, and since "beggars can't be choosers", I was hoping to get some input on relatively easy-to-get-into masters programs in the US. Applied MS will go light on theory and give you more hands on experience. Online statistics masters programs. Sc in Statistics it required a fairly rigorous background in Calculus and undergraduate-level math. Sonoma State (CSU). So if I want to finish in one year, I Applied Behavior Analysis. For example, almost all of them require some initial core that shakes out as 1-2 foundational calc-based stats courses, 1-2 experimental design courses, a regression course, and a programming course. It worked for me, went to a top-5 rated program in the US. UT Austin also has MS programs in Artificial Intelligence and Computer Science all online and each for $10K. Then I looked at how long the program had been running. You should decide on a goal, first. But also as a general point: statistics is NOT EASY. ruggerbear. $50-80k might not be a crazy amount of debt if you can get a $100k job right after. I take 2 classes a semester which takes me ~20-30 hours a week on average + work FT. MS in Data Science, Columbia University. I have read that to be accepted in the program you must have at least 2 courses in introductory Statistics. Undergrad ~3. M. I talked to someone at a conference whose program required her to do one of those 3 things, or just take extra classes. Computational Sciences. _ I have a question regarding my eligibility to the Statistics Master's program at KU Leuven. Actually our biostatistics program is only 3 years old. As others have said, look into what you actually learn in the programs. Several of my classmates have gotten job offers in the general vicinity of 75-85k. The quant psyc programs are obviously stats, but the I/O programs are often almost if not entirely applied stats programs, depending on who your advisor is. It provides a pretty open-ended mix of fields and knowledge in quantitative methods to be useful in the job market. The degree title, in my opinion, would do similar stuff in industry. I only applied to Canadian and European schools in Finance/Econ. I got accepted into Stanford's Management Science & Engineering online master program for Autumn '22. I made a few comments about this program and my experience on reddit about 8 years ago and to this day, I get private messages about it, asking about my experience. Texas A&M offers an online master's. /r/Statistics is going dark from June 12-14th as an act of protest against Reddit's treatment of 3rd party app developers. One does not go to a research program for a job. Typically stats degree may be more theory focused. The problem is that there are very few top programs in the US that offer a terminal master's degree. are much more sought after skills in the industry - Sure a master's in statistics would not be bad if you pursue PhD, postdoc and move on to more specialized positions like R&D or academia. Looking at the MAS coursework, I believe I can with choosing Yes, a lot of people have done so. University of Washington. Just be sure to dig into how they are being rated. I have seen quite a few colleges offering master's in AI but they seem to be new programs. I was hoping that some of y'all who have been through grad school or even just the application process had any advice on how to narrow down programs. It will focus more on statistics and programming, while Business Analytics will be less technical overall. Also, way cheaper than UCs. 3. I think the best places know this. You Master level degrees are versatile except in academia. I know quite a few people that grew to hate the field they studied. What is unique about collegehippo is that. Canadian Statistics Masters Programs. They provide plenty of flexibility for students to focus on statistics if they wish. There are a few who go on to get a PhD in something, and there are (very limited) research opportunities for MA students, but in general most people just want to advance their own careers in industry. You just need to: It will take a year but you'll save probably 40-50k in tuition and potentially lost wages. •. A PhD wouldn’t be a wise investment based on time/energy or whatever, and many have families they prioritize over school. Los Angeles, CA. Berkeley is also very good University of Kentucky, Texas A&M, Ohio State, University of Miami (Ohio), and University of Georgia are all schools I know that offer funding of a masters via TAing. UNC's program is called "MS in Statistics and Operations Research", Wisconsin's is "MS in Statistics: Statistics and Data Science" (this is not the same as Wisconsin's MS in Data Science program!). However, a Ph. Has anyone received admission results from any Canadian Masters Statistics programs recently (like in the past week or two)? I am particularly curious about McGill and University of Waterloo. Personally, I haven't heard of anybody with two masters degrees be considered "above" somebody with just one masters, especially in government. Emory - MSPH Biostatistics. I'm trying to get a realistic handle on how to fill in the gaps to get a solid background before I start applying to programs. I'm wondering if anyone has any experiences with these, and particularly the MAS at Penn State. 5-1%) A degree ensures that you have been through all that needs to be tested and come out on the other side. _This community will not grant access requests during the protest. Finishing up my MS right now in Computational Statistics with a focus on Data Mining. With a graduate degree, statisticians may find jobs working with data in many sectors, including business, government I considered Penn State for their online Master's in Data Analytics, but decided against it. Initially, I was looking over any data analytics or data science programs but I feel like I will learn more skills I can retain in my career long term with more emphasis on statistics. 39K Members. After ODEs, pure math takes a sharp left turn and looks at abstract algebra, topology, differential geometry, and proofs, proofs, proofs; applied math takes a sharp right turn and delves into special cases. Work with non profits and on government sponsored projects, a lot of data cleaning, manipulation, then just a little bit of regression and such. For background. We received an email saying that they are only matriculating masters-level students in Fall because of the whole coronavirus thing. Half of my courses were on foundational statistical theory and inference, which at the graduate level is basically using calculus to prove things in statistics. If you're above 330 you're safe for everything. Notre Dame MS ACMS. Totally agree. I've seen people from Texas/Texas A&M as well. 35 (NOTE: this is typically low for grad school) Funnily enough, this post isn't for me! I actually attended this program in 2012 and got a graduate certificate in applied statistics from there. The foundational courses the other programs offer will dramatically enrich your experience. You're probably looking at a PhD rather than masters, but you'll almost certainly get full funding A masters in statistics is a thing, that those outside of the field won't really have much of a relevant opinion on. The more intense schools will require serious quantitative training for a masters degree, the same way it'd be kind of absurd to think a masters degree in mathematics would be possible without years of undergraduate math, or a masters in engineering wouldn't Texas A&M ain't exactly cheap. You want to analyze data get a real stats degree. Two other points I would like to touch on: Cost: for EU students (and in some cases international students) Dutch university tuition is set by the government, it is currently slightly above 2000 euros a year. Statistics trained you broadly. IUPUI MS Data Analytics. “Data Analytics” looks better on paper as well. UC Berkeley’s Masters in Information and Data Science (MIDS), without a doubt. It's a great program from a top university and falls in your budget. Just my opinion of course but I’ve been in the field for 4+ years. I'm looking at the MAS at Penn State, the MS in Biostatistics at the University of Louisville, and the MS in Biostatistics at the University of Florida. They know what it takes to get ahead there. There are accelerated programs. Biostats focuses on stats methods that are used in clinical trials, health research, bioinfomatics and more Biostats depress is less theory focused but more applied focus. Please do not message asking to be added to the subreddit. And then they wouldn’t have enough time to go deep in to the statistics. 14. again, most masters in applied statistics programs are pretty similar. It might be a great program but the online MS is around $23,000 for in-state and around $43,000 out of state. 4. . I would recommend picking a mature program in either case. My experience as someone involved with hiring at a large fortune 50 firm, is that generally someone with a masters of statistics is going to have more general depth. If you graduate, you can pretty much get an automatic job offer from McKinsey starting at like $130k your first year. Thanks! 3. TheDrownedKraken. So people have mentioned Stanford; in the same line, Harvard is also good, but many of the best departments are in state schools: Michigan, Minnesota, Washington, Wisconsin, etc. They seem to take a lot of pride in their Quant finance program which they make clear is very popular/competitive and of their ability to place many of their QF students in internships at Data Analytics will have a better payoff. My opinion is they you are likely to get a better role then with my masters in psych. You want to do business strategy, get a real MBA. . GPA: 3. If you don't have calc 2, mathematical statistics is going to be very very challenging if it's rigorous enough to be worth the cost. Any advice or input you have on any of these schools would be much appreciated! I’ve done a lot of online research but can’t find much more than what’s on their websites. Tuition ended up at £26000, but the program was only 10 months, compared to 2 years for almost all of the other programs (some programs were 18 months). It's the #12 stats/biostats program based on Us News. Here's the link. Seattle, WA. Professional Fields - Law, Business, etc. They had some half ass bridge classes. _ When I made my list back in 2019, I focused on programs whose schools had top Statistics and/or Computer Science Masters. Also, it costs $10K so it won't break the bank. On top of their list, you will find the sponsored college listings. in the IDSS program. PART II (4) If you are only concerned with being employed after you graduate, most people in the program are doing the same thing. You can look into Georgia Tech's OMSA. No, it's not a waste of time! Thanks! Illinois Urbana-Champaign: Statistics. I think BU has a program in Boston Massachusetts. okamilon. If you are looking for career advancement within the government body you have now, I think you should get the advice of a mentor you have there. I hope to continue doing research, so that's also something I am considering. applied statistics, I think is better in the grand scheme of things. Totally would recommend, as long as you work at the same time (since you're giving up the chance to do research on campus). University of California–Los Angeles. I went to a state school not known for math or statistics for my MS. Below 320, is just for moderate schools and not your ambitious ones. My preference was to be in person but the conditions of my offer are strict about that distinction. However, a data scientist job is attainable with a Masters (although you’ll still be competing with a pool of PhDs as well). Employers don’t understand or want the degrees. 3. Many of the schools were dirt cheap, but in the end I decided on the London School of Economics. Hello! I am a community college student looking to major in statistics and transfer with a 3. If you just need a degree to have a degree, yeah it's probably fine, but if you want to actually learn applied statistics Basically, an MS will give you a comfortable career, but you'll likely never have a top leadership role. University of Maryland, College Park: Applied Mathematics & Statistics, and Scientific Computation (AMSC) Statistics graduate programs tend to look heavily into your math background. Those types of programs are great for people who are self guided, who have specific interests and will need to be taking classes from all over the University to fulfill their interests. Hello, I am about to graduate in May with my BS in Mathematics and I was accepted into NCSU's in-person graduate program for statistics. CollegeHippo is meant to solve this problem. A big downside is that 2 courses I wanted to take will probably be untakable due to low interest from the small pool of other students (survival analysis/cox regression and our second level theory course). They are simply cash cows for graduate schools. Additionally, I'm wondering if it's worth studying for the GRE to improve the application. Coming from an Applied Stats masters, I often am light years ahead of colleagues in terms of machine learning, data mining, and modern approaches; but feel behind in fundamental statistical theory. I would also check out non-statistics programs. 22 votes, 33 comments. So to say without nuance and discrimination that one should avoid data science/analytics master's entirely for a masters in stats/cs is simply misleading. Small program, lots of 1-1 with professors and good fit (for people I know). I'm 6 classes in myself atm. Unlike many statistics graduate programs, UCLA If you're in the US: MIT. At $1,046 per credit hour, it really seems like a cash grab, where the university charges sky high rates for World Campus courses that uses almost exclusively adjunct professors. UT Austin has an awesome online MS in Data Science taught by both the Computer Science and Statistics and Data Science Departments. programs have a certain standard. The online master's program is the same price as the in-person one, but the classes will be completely 10. Germany or Belgium have cheap MS in statistics programs taught in English. Then focused on things like courses, professors, career services, location, etc. (There's that option na nga pala. US News ranks UCLA Berkeley no. Depends on your goals. I honestly cannot comment about One university in my state, Stony Brook, has two masters programs Statistics and Quantitative Finance, both in the Applied Mathematics and Statistics School. Sometimes I think about Cal Poly SLO but I won’t finish their lower division Choosing between two MS in Statistics (not Data Science master's) Computational Sciences. is a research degree and programs largely want to admit students who want a career in academic publishing. Two general rules of thumb that I have found: 1. 0. As an undergrad I took Calc I and an intro statistics course that was required for Honestly that sounds pretty good, there's quite a range of statistics programs. A Ph. My Bachelor's degree is in Finance, however, I have only 1 Business Statistics course while I was there, plus 1 course in Linear Algebra and 1 One-Year Statistics Master Program. Honestly, I am really happy about it, albeit a little worried because my math background is not great. I have been warned about colleges in the US starting AI programs because of the current hype and that the programs do not go into actual depth and or are taught by mediocre professors. particularly linear algebra and a proof writing course. Statistics: MIT OCW Design of Experiments: MIT OCW or Stanford Open Courses (or DM me if you can't find one) Python: the whole world wide web OR udemy. gy sr uf qm yr uq en zu qb rq