Cmu stat ml reddit. I wanted to figure this out before applying.

Cmu stat ml reddit. Having taken the entire stat and cs core classes, I'd say that only statml is probably very borderline in terms of preparing you for SWE. The statistics and machine learning major is what you are looking for. Hi all, Figured I'd write up a long piece on the statistics and machine learning ("stat ML") major at CMU now that I have a fairly good grasp of it after graduating a little more than a year ago. In Statistics (including Philosophy), the sub-fields include: Statistical modeling (e. , must maintain A in all core classes, etc. From what I’ve heard, MFE programs are quite competitive, and to really get into a good job after you have to I'm currently applying to Carnegie Mellon and had a question regarding my second major choice. majors, dorms) here! Given that many graduate schools are sending out their decisions around this time, I keep hearing about how brutally competitive machine learning PhDs are, more so than other STEM research. Most of the intro/intermediate stats and math courses aren't too bad. Urban Studies Expected Graduation Date: Fall 2024 GPA: 3. Dietrich vs College of Engineering)? Is it easy to internally transfer a major from Stats to StatML? What is the popularity of the non-ML stats majors? Thank you! Many of our Ph. Thank you. Does anyone here have a idea if this program will be a good fit CMU's one-of-a-kind Joint Statistics/Machine Learning Ph. I am trying to decide between the two. Our vision is that CMU will meet the changing needs of society by building on its traditions of innovation, problem solving and interdisciplinarity. My goal is to become an ML engineer in the industry and was wondering if those who have or are currently pursuing this major can answer these questions. Hey there, For reference, I'm a current statml major with an additional major in CS and I'm planning to graduate this fall. I like the courses at So I noticed that CMU has a LOT of master's programs, many of which overlap one another. Thanks. Last tip, mathematically a lot of the ML about is largely rooted in statistics. CS is math, and programming, lending itself to a software engineering career. Stat ML is still mostly a statistics degree with an added mix of data science and machine learning. So I'm thinking whether adding a minor in Computer Stat Major with CS Minor vs StatML? I'm currently a sophomore in another Dietrich department interested in transferring into statistics. Stat/ml at CMU is Statistics degree with machine learning elements. Incoming students should have good analytic skills and a strong aptitude for mathematics, statistics, and programming. Other than 2 ML courses, StatML requires only 3 core CS courses (15112,15122,15351) hence the need to do some extra CS courses. Also, you already have to take 15-112, 15-122, and 21-127 for the 36-700 Probability and Mathematical Statistics I This course covers the fundamentals of theoretical statistics. I was planning on a statistics minor before, so I've taken plenty of stats courses already and am on track for the major as well. My first choice is SCS. Recently received an admit from CMU for MS in AI and Innovation (MSAII)! Was wondering if anyone else received the same. I'm currently trying to choose between CMU's stat/ML and another school's EE major (which supposedly is a pretty easy switch to CS). Consider getting an advanced degree in Machine Learning, Computer Science, Robotics, Computer Vision, Statistics, etc (Masters' should be enough but I know that the industry heavily prefers PhD). More Stats than Machine Learning. If not, may I ask what are some good courses that cover these at cmu? I could self-study these online but I was still curious. I’m aiming for admission into top 10 US programs and was curious to hear what other people opinions of my chances. I already took an introductory class on ML and enjoyed it very much. 42/4. Tuition cost: CMU: Will have to pay 3 semesters of fees (about $27-28K per sem), no tuition waiver, but Apr 21, 2024 · The big difference is obv cost. Thanks! Question about stat/ML Hi! I'm an accepted student for Dietrich at CMU. Please consider using the megathread instead of making a new post for questions about admissions, transfers, and general CMU info like majors and dorms. Unfortunately the theory of neural networks and DL is pretty underdeveloped as is. I wanted to figure this out before applying. The cohort is on average very strong, however most CMU master's programs do seem to be diluting over time, from what I know it used to be ridiculously selective, not too sure now as the profiles of students in the In terms of branding, At an undergrad level, there is a: AI minor (not open to SCS) ML minor (not open to SCS) ML concentration (only open to SCS) AI major (only open to SCS admits initially; otherwise can transfer in earliest Soph spring) AI additional major Statistics and Machine Learning major At a grad level, there is a: 5th year masters in ML Primary masters in ML (MSML) Secondary masters Where does my application profile stand for PhD programs in CS/AI/ML at Stanford/Berkeley/CMU/MIT? CS Major with Data Science Certificate at top 100 CS program (US) 3. If that’s what you’re interested in, CMU is the place to be. 75, ACT 35 in a public high school. Also, in Stat&ML is good for those who are interested in becoming data scientists (more on the application side) or who would like to pursue a PhD/master in machine learning. But what are the specific opportunities available for stats/ML majors at CMU? As in clubs, internships, and research. are the same as those for the regular MLD Ph. Here's my brief bio: Undergrad from a top IIT 4 papers in International conferences, albeit I am not the first author on any of them GRE: V: 165 / Q: 167 / A: 5 TOEFL: 115 GPA: 9. ) Prospective Graduate Student Information Carnegie Mellon University is a global research university with a proud heritage of outstanding graduate and undergraduate education and research. While I'm definitely applying to data science internships right now, I'm not sure how feasible these are given my current qualifications. The M. I'm interested in going into quant as a professional field, I was wondering what ML elective would be the most useful for it. It’s one of the best programs in the world. The curriculum is based on core academic courses on Intermediate Statistics, Machine Learning, Statistical Machine Learning, Multimedia Databases, and Algorithms. Hi, I'm a high school student and was interested in the Statistics and Machine Learning Major offered through the Dietrich College at CMU. Want to hear some opinions about what to choose. students earn a Master of Science (M. MSML is the more traditional standard ML master's program at CMU. Yours might already be answered! Please consider posting to subs like r/pittsburgh for general life in Pittsburgh questions I'm reading the comments on the other thread and honestly shocked. The Bachelor of Science in Statistics and Machine Learning is a program housed in the Department of Statistics & Data Science and is jointly administered with the Department of Machine Learning. Caveat: I'm not familiar with the Stats/ML program since it didn't exist when I went to CMU. Here are the courses that make me hesitate: 15-386 Neural Computation 15-883 Computational Models of Neural Systems 11-364 An Introduction to Knowledge-Based Possibility for getting PhD admission in machine learning and statistics joint program : r/cmu r/cmu Current search is within r/cmu Remove r/cmu filter and expand search to all of Reddit The votes present a picture that's driven by the inherent flexibility of each program - the more flexible the program, the more students who find it desirable. The only degree I know at CMU that is 100% geared towards research is the MLT program which feeds into their PhD program. Any Stat/ml or Dietrich people able to help me with my schedule? I can’t think of another class to add on : r/cmu r/cmu • by [deleted] Title basically says all. I know the program is unfunded and is really expensive too. I'm interested in AI — will I be able to take enough CS/AI classes as a Stat/ML major to be marketable for big 4 tech companies? Or should I go the Computer Engineering route? I'd like to start out as a software engineer and then work my way up to a management position. … During later years, students will normally be located in the Machine Learning Department, unless the primary adviser is in the Department of Statistics. What are the best data science and/or statistics courses here that you recommend that're outside the stat/ML core (in particular, excluding 36-401, 36-402, and 10-301/10-601)? I'm trying to figure out what advanced data analysis/ml electives I should take. should first apply to the Ph. in Statistics. Gibbs Assistant Professor in the department of mathematics at Yale University, and before that I served a year as a visiting research associate in the department of applied mathematics at Brown CMU is incredibly prestigious in the fields of statistics and machine learning. Program I am an international student from Sri Lanka who has applied to CMU for a Ph. To my understanding, the ECE courses at CMU are tailored towards ML/AI (there is an AI/ML track) and they also have courses like ML in signal processing. Developing a strong background in statistics and mathematical statistics will help. Highly prof dependent though, would 100% recommend if Siva Balakrishnan is taking it. Quite well regarded in industry and academia, and definitely the better option if you are 100% sure about PhD. Are there any unique to CMU, which I can't get anywhere else? Speaking from my own experience as a Stat/ML major: the curriculum consists of stats cores and a few machine learning courses, which makes plenty of room for additional majors and minors. Definitely. trueI am in the same boat. The best place on Reddit for admissions advice. In years two and beyond, thesis research is co-supervised by a faculty in machine learning and a faculty in statistics, or supervised by a faculty member with a joint appointment. (PS: unpopular opinion but the fact is literally nobody cares about your college life after school. Currently I am not very sure of doing a PhD and want to work post the MS, but I still want to experience working with a research lab before I decide for sure. Wondering if anyone knows of the current Hi everyone, I recently received admits from the MS ML and MSR at CMU. However, is it really worth double the cost of GT? I don’t want to put my family under financial stress The Master of Science in Machine Learning MS offers students the opportunity to improve their training with advanced study in Machine Learning. I have some cs Ecs from hs, are there any other ways to show more interest in this major or become a stronger candidate for transfer? How hard is pursuing a statistics major at CMU? Do you need to have some programming experience to do well? I want to prepare ahead because I’m planning to shift my major to a stats major. I'm doing stat ML and am going to become sophomore from this Fall; I wanted to ask for other people's opinions before giving him my answer. e. You of course have to learn probability, but there’s only 2 classes that really dive deep into it. 69 votes, 62 comments. I was recently admitted to CMU and will probably major in their stat/ML major. Moved PermanentlyThe document has moved here. Cost is The Master's in Machine Learning program requires six core courses, three electives and a practicum. Just a few study spaces with couches. if you could just take a minute to drop any advice/recommendations/tips about professors, classes, timings, difficulty levels, etc I would greatly appreciate it. Students interested in a machine learning joint Ph. Carnegie Mellon University's doctoral program in machine learning is designed to train students to become tomorrow's leaders through a combination of interdisciplinary coursework, hands-on applications and cutting-edge research. These were added beginning in M/F 06. cmu. program are uniquely positioned to pioneer new developments in the field and to be leaders in both industry and academia You will be fine, the stat ml major is very flexible and you’ll have plenty of time to finish the requirements. edu Research Papers on ArXiv Papers on Google Scholar Research Groups Statistical Machine Learning Theory Group at CMU STAMPS (STAtistical Methods for the Physical Can someone help with my freshman schedule? (Stat/ml) I want to add more classes but don’t want to overwhelm myself : r/cmu r/cmu • by [deleted] [MEGATHREAD 7] Post your questions about admissions, Pittsburgh, and coming to CMU info (e. IS+Stat/ML double major with CS minor? As titled -- for those of you who have done/are doing this, know people who have done/are doing this or are otherwise familiar with this possible combination -- what are your thoughts? Difficulty of courses, double-counting, benefits/drawbacks, et. or the industry. We get these kinds of questions a lot, and having the answers in one place is more helpful for everyone. The doctoral program in machine learning trains students to become tomorrow's leaders in this What does the process of converting CMU ML MS to ML PhD look like. I feel like many folks here are not up-to-date with just how competitive admissions are to top PhD programs these days The primary focus of our 9-month, two-semester professional master's degree is to develop industry-valued competencies in our students by emphasizing data analysis, statistical computing, and professional skills. truehello! i was waitlisted for CMU as part of the class of 2028 under a dietrich college major. Topics include: concentration of measure, basic empirical process theory, convergence, point and interval estimation, maximum likelihood, hypothesis testing, Bayesian inference, nonparametric statistics and bootstrap re-sampling. I am planning to work for a few years before deciding to go back for an MS in statistics. I am more into Systems, so for me the comparison would be between MCDS-Systems and GaTech MS CS (Computing Systems). Hello, I’ve not completely decided on it, but have given thought to going into quantitative finance. Is the prestige and rigor of CMU in CS and ML a good enough justification for choosing CMU stat/ML over UCLA EE despite my current personal preference? I would say that StatML (as opposed to Stat) does need decent programming skills specifically for 15-122, 10-301, and the ML elective depending on choice. Demographic: Straight Asian American male Research Experience: Created an encryption algorithm leveraging full It's my opinion that CS major/minor is much harder than anything Stat ML will throw at you. Welcome to r/cmu! This looks like a question from a prospective or newly-admitted student. I guess these factors should be a plus…? I am thinking of doing the joint ML/PNC PhD program but I've heard people say that its harder to get the joint ML degree. This is because the only real SWE-preparing classes that are in the statml curricula are 15-112 (which can be skipped with a 5 on AP That's a Statistics degree- not a CS degree. Most Dietrich majors can be finished in 4 semesters (give or take), but Stat/ML does take longer and has more requirements. I'm a current junior in SCS thinking about applying to the fifth year master's program, either in CS or in ML. fuses statistical prowess with innovative machine learning through interdisciplinary research and coursework, granting access to top experts to equip grads to advance data science. Graduates of the machine learning Ph. I’m fortunate enough to have supportive parents who have said they’ll do their best to support me regardless of my choice and I know that if money wasn’t a factor I’d choose CMU. As the schedule below shows, the M. Is stat/ml mostly stat? I’ve been recently admitted to Dietrich College in hopes of doing statistics/ML. Does anyone know the updated requirements in order to do so? (i. Is it usually recommended?. I have a similar interest in signal processing/ ML/ CV and am weighing up my options now. However, the cynic in me worries that CMU is just becoming a degree mill that is giving people peculiarly titled degrees to make money while protecting their brand Hi, I graduated with my B. I think this is fascinating because it allows you to really specialize in a specific area, especially if you have a highly technical undergrad. IS: far more flexible. Stat ML has become one of the hottest majors at CMU, likely due to its proximity to CS as well as the increase in popularity of data science and I think it's worth some additional analysis given its For ML roles along with leetcode you need to be proficient in ML topics like Decision Trees, Random Forests, SVM and deep learning. Interested students apply earlier in their senior year than the standard application deadline and receive the response earlier as well. Any advice is appreciated! About me I am a professor in the Department of Statistics & Data Science at Carnegie Mellon University, with a joint appointment in the Machine Learning Department. School: Commuter public school in NYC Major/Degree Program: Special Honors Statistics, Minor CS, Mini Conc. I've found that CMU admits by college, but does CMU admit by major within the college as well? I am applying to CMU as statml and plan to take an additional major in cs; how can I optimize my course load and is it manageable? I will have credits for IB HL math, physics, cs, econ, AP stats. i am very interested in the stats/ML major, and have 3 questions regarding the major: my first question is, the first choice AND second I know I currently prefer EE over statistics, but I've been told that most EE end up doing SWE out of college anyways and that I'd most likely not be pursuing a future career doing traditional EE. Machine learning is dedicated to furthering scientific understanding of automated learning and to producing the next generation of tools for data analysis and decision-making based on that understanding. I'm currently a sophomore Stat-ML major and no, you don't get access. OP, I think if you share your career goals, maybe it will be easier for others to help. So many ppl believe the post is fake and I see comments saying things like "you don't even need top conference papers to get into top PhD programs" (this is incorrect). I've received an admit for MSML at CMU, but waiting for the decision from MSCS at Stanford. My experience is that waitlists are pretty much unavoidable for most popular classes if it's not required for your major. (currently in Stat ML and I took 213. Highly inclined to pursue a PhD later, preferably at the big 4 (MIT, CMU, Stanford, UCB). What are the best ones I should take? I’ve take 10-301 already. A CS degree would be more suited to the development and implementation of machine learning algorithms and systems. Also got into MS ECE at CMU and have the same question. applicants with backgrounds spanning math, science, and social sciences who demonstrate quantitative readiness; full aid offered including tuition and a monthly stipend for research or teaching. My pathway includes a lot of stats classes, with varied focuses from visualization to probability, one or two cs classes (introductory CS classed are mandatory for me), and math courses. The former uses probability theory to build and analyze mathematical models of data in order to devise methods for making effective predictions and decisions in the face of uncertainty. The Stats degree would be more suited to using/applying those systems to Stat/ML: do you like diving deep into the weeds of statistics? The courses are much less CS focused an much more stat focused. I need to choose my courses now and want to have at least one Machine learning course during my year at CMU. CMU’s world-renowned Department of Statistics & Data Science combines theory, practical statistics and modern tools to prepare students for real-world challenges. I had a few questions for anyone who has been in the program, or knows of the general requirements that it takes to get in. There's not much up there anyways. I am wondering what the accept rate of the department is, is it hard to get in? I have weighted GPA 4. [D] Does getting into top4 (Stanford, CMU, MIT, Berkeley) ML phd program requires more than 3 first-author papers at top conferences? Hello, I'm excited to share that I've been accepted into the early decision admission for the Statistics and Data Science department. In this major students take courses focused on skills in computing, mathematics, statistical theory, and the interpretation and display of complex data. Are most of the students in the cohort who get accepted We would like to show you a description here but the site won’t allow us. The Machine Learning Department offers four different Introduction to Machine Learning courses: 10-301/10-601, 10-315, 10-701, and 10-715, as well as a preparatory course 10-606/10-607. The result is a powerful, internally-consistent framework for approaching many problems that arise in machine learning, including parameter estimation, model comparison From anyone who has taken 11785, is this a good intro course to DL? I heard 11785 is a big time commitment, but am worried that I have no background in ML or DL. Hi fellow CMUers; another last minute schedule post before finalizing my fall freshman schedule as a Statistics + Machine learning major with, hopefully, a potential double major in cs. Ranked #5, CMU's Ph. CMU will cost ~$300k to graduate, whereas GT would only cost ~$150k. Notes for Larry Wasserman's Modern Regression Course Hi there, I've been meaning to start reading through the notes for the cmu modern regression course for a while now but the whole cmu stats site has gone down. It’s far easier and reasonable to just take a bunch of CS courses and get a software dev internship. You could definitely get in ML as a CS major and into Software eng as an ML major, but it would take some extra effort to brush up on the subjects you aren’t familiar with. (Waiting for my GaTech decision). Applied Math a little over 3 years ago and have been working as a server-side Software Engineer since them. in Statistics features immersive research through interdisciplinary collaborations, exclusive access to world-leading machine learning experts, and hands-on projects - preparing grads to advance the field across academia and industry. But just knock on the door from the stairs and people will let you in. I know exactly zero people who actually went through with it. For quant along with Leetcode you need to put heavy emphasis on stats and probability puzzles. Was just accepted, planning to major in stat/ml and minor in either cs or comp eng. If you want to go into data science, consulting, design, UI/UX, software dev, or 36700 - Probability and Mathematical Statistics is an amazing foundational course in prob/stats for ML folks. Reply •••• Mundane_Gene_5473 •• Undergrad • Mundane_Gene_5473 •••• alphapado • playingwithechoes • Alumnus • trueHello, I am an exchange student coming to CMU next year. The school primarily wants people who go into industry from their masters programs. in machine learning in one additional year by taking some of the required courses as undergraduates. Great ML and interdisciplinary research with other CS departments too. There really isn't much overlap between the two majors besides a few intro courses and 15-122. Pittsburgh is nice as well. But I had some questions for undergrad students in stat/ML. Bayesian probability allows one to quantify, model and reason about all types of uncertainty. Studies are hard, but you’ll blow the competition out of the water after CMU. , hierarchical and times series); Bayes' Nets, Causation, and experimental design. I knew like half a dozen Stat ML majors in freshman year (class of 2021, so this was back in 2017) who said they were going to do an additional major in CS. I’m planning to major in the Statistics and Machine Learning program which is a joint major between Dietrich College and the School of Computer Science. One tip I have is to seek math more broadly instead of an ML specific approach. PeoplePeople The Department of Statistics & Data Science is a world leader in applying statistics to many areas of science, technology, policy, and education. Does it still count for a Machine Learning Elective requirement or do I need to get a C? I don't need this class as a prereq. Second, find out what the department environment is like: that will determine a lot about how your experience goes, not just the degree. So it is going to be far more math/stats focused than a program from the CS department. However, some students finish in four semesters, spending the additional time on Larry Wasserman UPMC Professor of Statistics and Data Science Department of Statistics and Data Science Machine Learning Department Carnegie Mellon University, Pittsburgh, PA 15213, USA Office: Baker Hall 132 G Email: larry@stat. MS CS restricts you the least, but you'd have to sit through core CS courses, which are great but might not be your thing anymore. Is this a reasonable schedule for an incoming freshman (Stat&ML)? I will join CMU Dietrich College as a freshman in fall 2022, and I plan to major in Stat&ML and minor in maths and philosophy. MS ML narrows your goal to ML and may be a stepping stone to a Ph. I hold a GPA of 3. I went to CMU, Stat/ML is pretty solid at CMU. Yours might already be answered! Aside from the In this course, we will introduce some ideas and techniques (both rigorous and non-rigorous) originated from statistical physics along with their applications in statistics and machine learning, exemplified by a few fundamental statistical models such as the spiked matrix/tensor model and the linear model. For those of you in grad school, or applying to grad schools for machine learning research, how true is this? Do you think it's really that competitive as people say, or is this only at the top schools (in stats summer research Hi! I'm currently a sophomore in Stat/ML thinking about summer plans. My aim from the MS program is to gain exposure to CS and do projects in ML ( maybe for a PhD). Welcome to r/cmu! Please use the megathread instead of making a new post for questions about admissions, transfers, and general CMU info like majors and dorms. What ML Electives do y'all recommend for Stat/ML majors this semester? Title says all. 15-112 is definitely enough preparation needed though. It's one of the longer/heavier Dietrich majors. 2 in BSc Hons in Engineering, specializing in Computer Science and Engineering. She's a PM today, and I'm an Eng Manager; both at tech firms. Just got rejections from 4 CMU programs (MS in Machine Learning, Computer Vision, Artificial Intelligence and Innovation, and Computer Science). W. 2 GPA Overall (3. So you'll have slightly less flexibility than the other Dietrich students. I received my Ph. I am a professor in the Department of Statistics and the Machine Learning Department at Carnegie Mellon University. I plan on going to graduate school for statistics (MS/PhD) programs, but don’t know if it’s worth it rather than doing a two year Masters in Financial Engineering program. ) in Statistics on the way to achieving their ultimate degree. Does a D count for Stat ML major requirement? I'm in 15281 and I just bombed my midterm today badly. Does one have to directly apply through the regular process alongside other applicants or is there a mechanism which can enable me to transition through the research lab I'm working in. Prior to joining CMU, I was the J. General info about waitlists Since I see some posts here about waitlists I will give you my brain dump / rant as an undergrad (Statistics & Machine Learning) and now grad student (ML which is in SCS). For example, if you're really into Data Science/ML/NLP, MCDS-Analytics would be an amazing option. We would like to show you a description here but the site won’t allow us. I am from an EE background with not much "real" exposure to CS but a good enough exposure to graduate level ML courses. Hi, I'm interested in applying to CMU to get the Stats/ML major because I have a great interest in going into the field of Machine Learning after college (machine learning engineer). So, I received an admit for MSML program from CMU today. A subreddit for everything related to Universities in Ontario, Canada. 65 Relevant Coursework: Linear algebra, matrix algebra, Calc 3, Discrete Math, Stochastic processes, markov chain, etc. Post any questions you have, there are lots of redditors with admissions knowledge waiting to help. (the curriculum is too shallow for the latter case and more advanced courses such as 701/715/705 should be taken) Reply reply r/SGExams Stats and ML is mostly statistics classes with a hint of machine learning. Hello, I am a graduating senior at another school. The Fifth-Year Master's in Machine Learning allows CMU students to complete an M. SURA: Summer Undergraduate Research Apprenticeship - Tuition-free elective credit to undergraduates at Carnegie Mellon for existing faculty projects focused on undergraduate The Reddit Law School Admissions Forum. in machine learning can be completed in three semesters by a motivated and well-prepared student. He was wondering which major of the two is heavier and harder in terms of workload. The major itself isn't that big, and can be finished in three years if you have ample AP credit (stat, calc, CS, etc. I might be getting a D but Im not sure yet. I am hoping to go into quant finance and would love to hear from or speak with any current students or alumni with similar experiences I’m looking to take more ML classes at CMU (senior) that are less theoretical and more applicable - I want to take classes that will give me the skills to go out and train my own models in different parts of ML and also be able to do this within a company. However, one program that caught my eye was the MS ML program at CMU. currently stat ml tryna do cs additional or ai additional statcore is not that bad, 36200/202 are sleepwalking classes, the probability core is a little harder and the regression courses are tough but that's a 300 level course. I'm a freshman at Carnegie Mellon, Dietrich College of Humanities and Social Sciences. Thank you! Share Add a Comment Sort by: Best Open comment sort options Best Top New Controversial Old Q&A Syllabus 1. However, I've heard that getting internships in Statistics and Machine Learning can be more challenging compared to those in Computer Science. Incoming freshmen here! How hard is it to transfer into Stat ML major from tepper? Any advice and tips? Im taking 36200, 15112, 21259, mircoecon, and business sci (i'm looking at transfer into either this major or IS which asked about before). 11 votes, 13 comments. S. would be much appreciated. i'm aware that dietrich students are all admitted as an undeclared major and declare their major starting from—i believe—the first semester of sophomore year. g. Lots of Stat/ML majors go on to become software engineers! Basically there are 3 basic courses at CMU (15112, 15122, and 15213) that are essential to getting a coding interview/job. degree is awarded as a milepost after a certain number of courses and other requirements have been completed. First, consider who you'll be working with at CMU vs the other schools. He was also wondering which one would be easier to do cs minor with. al. The MLD requirements for graduation with a joint machine learning Ph. CMU Statistics & Data Science seeks diverse Ph. Will keep you in good stead from the stats side of things in future ML work. Classes like 150, 210, 251, 213, 451 are way more challenging than stats classes. I'm considering to enroll in statistics and machine learning. I went through the course outline before applying and thought it was a 50:50 stat and ml. I would love some insights from people regarding the coursework/future options and funding opportunities. Hi, I have a friend who got admitted into CMU this year. Summer research programs allow undergradate students conduct research over the summer months to enhance their studies. Thanks! With that in said, I would suggest the following things if doing ML research is your goal. Doing the double major would be quite difficult unless you overload quite a bit every semester. I did CMU CS and my wife did Berkeley EECS (we started dating when she was a senior), so I can share my perspective on this. from the University of Toronto in 1988. CMU's Statistics & Data Science: World-class programs, innovative research, real-world applications. Thanks for sharing your thoughts!! As a StatML major I have to take 9 required stat courses; On top of that, I am planning to do 2 more courses. What my goal with a CS major is to get a job in AI/ML after university. Welcome to r/cmu! Please consider using the megathread instead of making a new post for questions about admissions, transfers, and general CMU info like majors and dorms. Faculty and students engage in interdisciplinary, collaborative research to help make fundamental advances in neuroscience, cosmology, networks, finance, genetics, theory and methods at the intersection of statistics and machine learning Hi, I am a StatML sophomore and I was wondering whether my future coureses (15-351,10-301,10-601) will cover PyTorch, TensorFlow, Scikit-learn and Keras. All four “introduction” courses have a similar goal: to introduce students to the theory and practice of machine learning. D. A combination of CS + business minded problem solving. I know CMU is one of the few institutions offering a machine learning major. Course Description This course will cover modern machine learning techniques from a Bayesian probabilistic perspective. I was wondering if anyone had any of the notes for the course they could make available. Check out the sidebar for intro guides. That is, students who take these courses will be able to: Select and apply Stat ML should not be rigorous compared to ECE or CS. MS AII is the most Why is this on the stat-department? I've found great use of an this course (on another uni) in understanding many statistical methods and deriving estimations and I'm considering taking the grad-sequel, but haven't seen this to belong to the ML/STAT-track on other unis. If you like that (and I’m not sure many high schoolers will really know if they do), this is right for you. I mostly hear about how it's relatively easy to get in but I haven't been able to find any statistics for internal acceptance rates, only for the master's programs overall (and those statistics indicate it's actually pretty competitive). Stat/ML Freshman Schedule : r/cmu r/cmu Current search is within r/cmu Remove r/cmu filter and expand search to all of Reddit Statistics & Data Science Majors/Minor Statistics consists of two intertwined threads of inquiry: Statistical Theory and Data Analysis. My father has been suggesting CMU because he argues that the stat/ML major's required CS course load is enough to get a SWE job. (including the requirement for the Mar 27, 2017 · Hello, I was recently admitted into CMU for the Dietrich College of Humanities and Social Sciences. 12 votes, 16 comments. 75 CS Major GPA) A's in systems programming, discrete math, data mining, data science, AI, and Directed Studies but B-/C+/C in Linear Algebra, Integral Calculus, Multi-variable Calculus. Does anybody know how “good” this program is at CMU? How are the statistics and CS classes? Are they difficult? Are they interesting? My Great-Distribution52 Seeking Guidance: Evaluating My Chances for CMU Statistics Ph. I am considering 15-281 and 11-344 currently, but would like to hear other suggestions. Refer to the Machine Learning Master's Curriculum page for full information. Upward trend in GPA since Statistics include special, non-degree summer programs, which are mainly Pre-College, Dalcroze and EMBA students. Sep 10, 2025 · Carnegie Mellon University (CMU) is a global research university recognized for world-class arts and technology programs, collaboration across disciplines and innovative leadership in education. These days even many PhD students go into industry. Lots of great opportunities here for it. program that best aligns with their research interests (e. I'm a Statistics/Machine Learning major, and I'm hoping to take an additional major in Computer Science, and a minor in Computational Finance. So, with national college commitment day coming up, and me procrastinating the hell out of my last stats assignment, I wanted to do an AMA here. The core courses for our machine learning graduate programs consists of six courses, divided into the set core and menu core courses, as outlined below. , machine learning, statistics, neuroscience, public policy, or social and decision sciences). Preparing students to tackle global challenges with data-driven solutions. I know several people who are Stat ML majors and are also minoring in CS. CMU pros: Smaller class sizes, you get to get a seat in a lecture hall (Berkeley classes are crazy large and I have a few questions: Does CMU admit by major (in other words, your chances of getting in are different for Stat ML vs Stat + Econ), or by college (ex. You could also try 36-705 (if you are more daring :)) 11785 - Introduction to Deep Learning, really solid course that I am upcoming high school senior, would like to apply Statistics and Data Science department. My interests: Theoretical ML, ML Algorithms, Deep Learning. If there is one, what are the chances of getting in through the same. So these are really leading you in different but related career paths. ). I am very bored with my work life and am itching to go back to school to get my PhD in Statistics (with a strong interest in ML). Hi everyone, I was just recently admitted to CMU for Stats/Data Science in Dietrich. 16K subscribers in the cmu community. What I wanted to know was if the Stats/ML major if sufficient for such a career path, and, if not, what alternatives there are. A community for Carnegie Mellon University students and alumni. Also, I didn’t take 110 but I did wait until freshman spring to take 112. They're both actually pretty close in many regards, but I would give #1 and #4 to CMU, and #2 and #3 to GT. What are the internship and job opportunities like with this major? How is the course rigor? The Statistics undergraduate curriculum emphasizes modern statistical and computational methods, strong communication skills, and extensive hands-on experience with the analysis of data from real, interdisciplinary problems. 04/10 I believe my LORs were strong, since all my recommenders readily Aug 1, 2025 · About Us Founded in 2006 as the world's first academic department of its kind, Carnegie Mellon University's Machine Learning Department leads the development of the discipline by performing breakthrough research; developing and propagating a model academic curriculum for machine learning; and helping society benefit from the knowledge we gain through research. Easiest ML Advanced Elective for StatML? Pretty sure it’s 85-419 but does anyone have thoughts on this? 5 6 Share Add a Comment We would like to show you a description here but the site won’t allow us. But I’ve recently read posts that stat/ml is mostly stat and that stat at cmu isn’t really good. qbssg ctnzka jvqndu faz vdaz uivjhkd szbifj vhqhq spljrq jdrknt