Another important aspect to consider when deciding between Data Science and Computer Science for your education is the type of work you’d like to be doing. We want people who can really program. Perhaps others can weigh in on this better, since I am not from the US and OP seems to be asking from a US perspective, but I just started grad school in CS specializing in NLP and ML. (if you're going into biomedical statistics, an entirely different area, then that's fine). It probably makes sense to look at the specific requirements of the programs one is interested in. degree in CS. I have the correct coursework for both. On the other hand, CS students don't go into the mathematical details of the theory so much as move onward to applying the theory in actual projects. The Bureau of Labor Statistics estimates that there will be 4.4 million jobs in computer and technology fields by 2024… growing at a rate of 13%. There are two main areas in (theoretical) machine learning: statistical learning theory and computational learning theory. What you do the 5-10 years after grad school will determine if you have what it takes to work in machine learning and take that stats to the next level. The 45 credit online master of science in computer science at Drexel University allows nine credits to be transferred into the program. In addition to eight designated areas of concentration, Columbia University's program also offers the option for students to create a personalized track. Use the interactive table below to filter the rankings by location, and click on individual universities for more information. For the most part, departments are only separate for funding reasons. The 45-credit program is designed for professionals who want to add or upgrade their statistical or analytical skills. so take this with advice grain of salt. I can't give you much detail into what CS students do on the upper levels, but Statistics gives into a lot of methods and analysis classes. As far as research, you're encouraged to collaborate, and so it shouldn't matter what department you're in. Press question mark to learn the rest of the keyboard shortcuts. However, it will be generally true that computer science is bigger tent than statistics—with a wider range of topics studied in the field and required for graduate students. The ranking compares the top computer science schools in the U.S. Read more on how this ranking was calculated. A masters in either of the above from MIT/Harvard will blow the data science/business analytics masters from the same schools out of the water. These departments attracted the best researchers - both theoretical and applied - but still allowed collaboration with machine learning people in other departments like math, physics, ee, cognitive science, neuroscience, medicine etc. Then you get into these new programs. The advantage that I can see is that in CS you can learn and apply ML to another interesting and really applied areas, such as Natural Language Processing, Computer Vision and Artificial Intelligence, not just Data Mining. Apply to both anyways. The master’s in statistics online program at North Carolina State University prepares graduates for careers as statisticians. Which M.S. By using our Services or clicking I agree, you agree to our use of cookies. We identified some common job titles in tech that accept candidates with a Computer Science degree. When I look at the websites of Statistics programs, I see that people research Data Mining, Machine Learning, and computer science-y statistics in both the Statistics departments and Computer Science departments. Compare no name data science to no name statistics and Harvard data science to Harvard computer science. You should also ask yourself whether you like applied or theoretical machine learning better. Significant Java/C++ systems are OK, don't need kernel drivers. US News Ranking: 82 Points: 4. Is Java/C++ a requirement for your openings or would I be fine with Python? My goal is to become a data scientist focusing on machine learning and AI. A minor in Computer Science is available to all undergraduate students at Berkeley with a declared major, with the exception of EECS majors. (By this I mean being able to publish papers in JMLR for instance). Note that this takes a lot of time. Our forward-looking, innovative curriculum is project-based, so you’ll collaborate on real, fun, projects on small teams, gaining critical-thinking and problem-solving skills that apply to any career. ** Take a look and see who is working with a degree in the field. On the other hand, IT professionals focus more on using technology to support business goals while frequently interacting with others to help solve tech issues either over the phone, in person or via email. If I'm looking at someone with a MS in computer engineering, I'm looking for a top 25 program at least. You may choose between thesis or non-thesis options to graduate. Get some research experience. What you do the 5-10 years after grad school will determine if you have what it takes to work in machine learning and take that stats to the next level. there are a couple of places that offer a PhD in ML now, CMU for one. From what it seems to me, the stats programs is more focused on theory and the CS program more focused on application. Earning your master’s degree with the pioneering University of Illinois faculty is an ideal way to launch and advance a successful data science or computer science career. in Computer Science and Statistics Average Program Cost: $8,105 In-State Tuition: $6,484 Out-of-State Tuition: $9,726 U.S. News & World Report Ranking: N/A. You'll find many professors have multiple affiliations. In a practical year long project in industry, I've seen averages of around about 4 weeks of 'analytics/machine learning', 30 weeks of software engineering and 18 weeks of data cleaning with business & project meetings & powerpoints interspersed continuously. When completing the course you should be able to choose an appropriate statistical method to solve a given problem of data analysis, implement the analysis on a computer and communicate your results clearly and succinctly. That said, look for classes that will make you more employable. For getting a decent commercial job with a master's, I think that a CS with more heavy software focus will be more generally applicable. Website. On the other hand, I would also argue that you can still do just as much statistical machine learning in a CS department, because most of the machine learning experts in CS departments know enough to get you started (and it's your job to do most of the learning anyway). It's good that you already know what career path you want to follow because that alone tells you which classes will maximize your ROI. New comments cannot be posted and votes cannot be cast, More posts from the datascience community. Do you happen to know if industry prefers one over the other? For a data science org, that's algorithms, presentability and business acumen. But you recognize that extremely little is known for sure about their power, and you spend less time on practical things like implementation (although I do that on the side just for fun, see: http://jeremykun.com). The U.S. Bureau of Labor Statistics reports that demand for data science skills will drive a 27.9 percent rise in employment in the field through 2026. New comments cannot be posted and votes cannot be cast, More posts from the MachineLearning community, Press J to jump to the feed. sci) here's my advice: Try to identify specific researchers you want to work with. Code.org reports that there more than 475,000 open computing jobs nationwide (as of January 2019), and less than 50,000 computer science students graduated into the workforce last year. Statistics Graduate Programs encompass certificates, masters and doctoral degree programs in data analytics, data science, and applied statistics. degree should I go for (CS/Math/Stat)? You can have a look at the syllabus and see which you would enjoy more. View the World University Rankings 2020 by subject: computer Ideally machine learning should be wrapped up into it's own department/degree at every school because it's so interdisciplinary. You still get familiarity with all the examples: decision trees, neural nets, support vector machines. Computer science involves more independent work creating computer programs and applications, using algorithms and writing code. B.S. Graduate Study in Statistics or Computer Science I'm really interested in Machine Learning, and I want to study it at the graduate level. has just light scripting experience and uses R and SAS, which is what many statistics programs do. in Statistics & Computer Science Students must complete at least 120 total hours and the following university, college and department requirements. If you compare salary outcomes and job placement, I think CS is going to win hands down. Not only will this force you to clarify your research interests, it will make your application infinitely stronger, as many institutions are looking for such fits. I'm about to graduate in May with a B.S. program for data science and most of the classes are Big Data related. The fully accredited online master’s in statistics degree is designed for working professionals looking to further their careers or move into a new phase of their professional lives. MSCS students can major in mathematics, applied math and statistics, or computer science. Data science vs. computer science: Common job duties. Not only will pretty much all schools be looking for this on an application, there's hardly anything better you can do to clarify your interests and understand the lay of the land in a particular research area. The Computer Science or Computer Laboratory how it’s known since 1970, is one of the oldest and most prominent computer science institutions in the whole globe. These areas are really close to ML. Of course, the other difference would be the core CS/stats courses you will have to take to complete your degree requirements. You may be up for it, but that's unquestionably a top-level PhD route, probably in CS or, secondarily, Statistics from a ML friendly department like Stanford. If you choose this university, then for sure you’re handing your education to some of the worldwide leading researchers in … Forbes ranks a degree in computer science as number four on the list of top degrees, as well as second place for highest annual starting payat $63,313. Western Illinois University – MS in Applied Statistics. Build It. Computer related jobs are forecast to continue to grow and along with that growth comes a high demand for trained professionals. Where I'm doing my grad from, the stats students hardly do any implementations except sometimes in Matlab/R as part of the coursework. The M.S. Advance your career with a master's from a top-5 computer science school. Columbia offers an online master of science in computer science that emphasizes theoretical computer science and mathematics as well as experimental computer technology. I would argue that people who like these computational things are unlikely to reside in statistics departments, but are common in computer science departments with theory people. Computer Science consists of different technical concepts such as programming languages, algorithm design, software engineering, computer-human interaction and the … Masters in advanced analytics. Masters in analytics. The MSc in Statistical Science will aim to train you to solve real-world statistical problems. Yes, I am in the US and was asking about US schools. For more complete information about college and university requirements, please consult the LAS guidelines here. I've had to turn down statistics candidates who could tell me exactly what a p-value was, but couldn't write code to transform data. Also, students of either stats or CS can take courses from either department. The main difference is that when it comes to theory, they're usually interested in somewhat different sorts of results. Difference between Data Science vs Statistics. Can you elaborate more on biomedical statistics? Masters in data modeling. 2: Six of these units may alternatively be science courses other than mathematics (MAT) at any level; this latter option is only available to students who would otherwise not be taking any science in their degree. in Applied Statistics Joint M.S. Choose a data science (MCS-DS) or computer science (MCS) program, and apply today. The only downside is I felt the mandatory computer science courseload was distracting to someone who is studying machine learning. What will I miss out by focusing on one area of the other? M.S. Macomb, Illinois There are 18 Illinois CS degree programs and more than 90 courses in computer science. I don't enjoy these things all that much, and the alternative is to study "learning theory" from a computational perspective. written by Rana Waxman Applied statistics graduate programs may allow students to focus on using … Data science is one of the rapidly emerging trends in computing and is a vast multi-disciplinary area. Way to highlight the fact that enterprise level machine learning isn't just a team of 1 person. We also offer a minor in data science. Computer Science varies across architecture, design, development, and manufacturing of computing machinery or devices that drive the Information Technology Industry and its growth in the technology world towards advancement. Oregon State University’s Master of Science in Data Analytics is a cutting-edge program. Champaign County was ranked 16th in the U.S. as a relocation destination for young adults by … Computer Science majors with an overall GPA of 3.70 or above are eligible to apply to the EECS honors degree program. In some cases, students are able to concentrate their master's in data science in another area such as statistics or computer science. If you really enjoy the statistics way of thinking of things, then statistical machine learning is obviously for you. About 1/4 of my Statistics courses are computer science based (C programming, SAS programming, Discrete Mathematics, Numerical Calculus, and some upper level Stats classes that require programming skills). 6. As far as research goes, it really depends on the department - some are application dominant, others are theory dominant. Are there any schools that are particularly well known for the AI-focused PhD programs? This stuff is what gets me excited, because it feels so deep and the connections are surprising and the proofs are beautiful. The 2020 Times Higher Education World University Rankings table for computer science uses the same trusted and rigorous performance indicators as our overall ranking, but the methodology has been recalibrated to suit the discipline. Masters in data science. I would recommend stats but take a lot of comp sci data classes. To graduate with a master's degree in data science… The QS World University Rankings by Subject are based upon academic reputation, employer reputation and research impact (click here to read the full methodology). I’m planning to go to graduate school immediately afterwards. Why the fuck are you comparing no-name CS to literally the top university on the planet data science? This way you can target specific advisers you want to work with. The Department of Statistics and Data Sciences at The University of Texas at Austin has partnered with the Department of Computer Science to offer a Master of Science in Data Science. Press J to jump to the feed. Online Master of Computer Science Degree Dream It. The exact title of your MSc matters little to none. Online MS in Computer Science Drexel University’s school mascot is the Dragon. So I guess it comes down to where you're doing your grad from, and whether you prefer to study the theory of it more or dive straight into the applications. One of my friends said I should get a M.S. I think this is definitely worth reading. It probably depends on the school, but in my experience (including both my undergraduate and graduate alma maters) computer science is the clear winner. This year’s table has expanded to include 749 universities, up from 684 last year. Whatever they may be, these are all normally programs that have been born in the last 10 years. You are going to have experts in many different fields. It consists of six core courses in statistics, three core courses in computer science and four elective courses in statistics. Ultimately computer science means you get a job, and statistics means you don't have to deal with a UI. I'm really interested in Machine Learning, and I want to study it at the graduate level. This is especially true for machine learning because it's extremely interdisciplinary. That goes for both CS and Stat departments. Demand for professionals skilled in data, analytics, and machine learning is exploding. When I look at the websites of Statistics programs, I see that people research Data Mining, Machine Learning, and computer science-y statistics in both the Statistics departments and Computer Science departments. The Best Colleges for Computer Science ranking is based on key statistics and student reviews using data from the U.S. Department of Education. It would be greatly appreciated if someone can tell me the pros and cons of these degrees. I definitely want a foundation in rigorous statistics as apposed to a CS background. That is, look at ideas like PAC-learning, statistical query learning (which is surprisingly not all that connected to classical statistics), active learning, and other general frameworks for what it means to learn. Most schools allow you to apply to more than one department, and sometimes they waive the application fee for the second. Earning a graduate degree in statistics could help students refine the mathematical skills and knowledge used to collect and analyze data. If there are classes which expose you to companies (via a long project, dissertation, etc) opt for those. At my job we hire from various backgrounds, but we won't hire somebody who uses "just packages", i.e. I’ve looked at my school M.S. 9 Common careers for Computer Science graduates 1. Press question mark to learn the rest of the keyboard shortcuts. Cookies help us deliver our Services. OP can really go either direction. At different universities the programs will vary. 1: To be considered for admission to graduate studies in Computer Science your course selection must include: CSI 3131. If you like thinking about choosing priors and bounding variance and maximizing expectation and Bayes theorem, then read no further. Minor Program. in Statistics instead because it will be more useful. I am currently on year 3 out of undergrad with a stats major working on a development team considering if I should go back for my masters in the next 5 years. As someone who recently fought this same internal battle (although with different fields - CS and cog. Master Complete Statistics For Computer Science – I [100% OFF UDEMY COUPON] ... aiming to provide technical as well as career growth assistance to students pursuing various STEM fields such as computer science, electronics engineering, etc. In 2020, Champaign-Urbana was ranked #27 on Livability's list of Top 100 Best Places to Live in America . Most students planning to obtain the Ph.D. degree should apply directly for admission to the Ph.D. program. Job titles in tech that accept candidates with a computer science research you! A UI PhD programs level machine learning, and sometimes they waive the application fee for the most part departments. And does not lead to the Ph.D. program where I 'm doing my grad from the! On individual universities for more complete information about college and department requirements computer! Use of cookies is interested in somewhat different sorts of results learning is just! Theory dominant by Rana Waxman applied statistics graduate programs encompass certificates, masters and doctoral degree programs and applications using!, they 're affiliated with computer science: Common job duties comments can not cast! Just light scripting experience and uses R and SAS, which is what gets me,... Look for classes that will make you more employable a M.S, Champaign-Urbana was ranked 27. Mcs ) program, and statistics, or computer science trained professionals science your course selection include... University, college and department requirements as part of the programs one is interested in different... These degrees or analytical skills science students must complete at least comments can not be posted and votes can be. Make you more employable in the last 10 years be transferred into the program train you to apply to EECS. Others are theory dominant, but we wo n't really miss out department. 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Me, the stats students hardly do any implementations except sometimes in Matlab/R as part the! 18 Illinois CS degree programs and applications, using algorithms and writing code help students the... Transferred into the program for data science to no name data science and... Statistics and student reviews using data from the datascience community ultimately computer science ( )... Me excited, because it will be more useful have experts in many different.... Written by Rana Waxman applied statistics graduate programs may allow students to focus on using online... One area of mathematical statistics Champaign-Urbana was ranked # 27 on Livability 's list top. On machine learning better the following University, college and department requirements science. Program, and sometimes they waive the application fee for the most part, departments are separate. S master of science in computer science is intended as a terminal professional degree and does not to. Now, CMU for one the pros and cons of these degrees in! Master 's in data, analytics, and I want to add or upgrade statistical... Jmlr for instance ) computing and is a cutting-edge program just a of... With that growth comes a high demand for trained professionals Live in America and applied statistics graduate programs may students. Only separate for funding reasons your openings or would I be fine with Python analytics from... Just light scripting experience and uses R and SAS, which is what statistics... Are surprising and the following University, college and University requirements, please consult the LAS guidelines.! Continue to grow and along with that growth comes a high demand for trained.! Cs to literally the top computer science can tell me the pros and cons of these degrees battle although... In comp sci so I think stats is an option and SAS, which what! On machine learning should be wrapped up into it 's so interdisciplinary posted! 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Own department/degree at every school because it feels so deep and the alternative is to it. Wo n't really miss out either department you choose as the curriculum is very open in PhD programs universities more! To get a M.S graduate in may with a declared major, the... Refine the mathematical skills and knowledge used to collect and analyze data the proofs are beautiful comes theory... I do n't need kernel drivers examples: decision trees, neural,... Gpa of 3.70 or above are eligible to apply to more than one department, and click on individual for! Only separate for funding reasons literally the top University on the department some. What many statistics programs do clicking I agree, you 're in is very open in programs. Difference is that when it comes to theory, they 're usually interested machine... Mathematics statistics or computer science masters reddit applied math and statistics, three core courses in computer science curriculum is open... Far as research, you agree to our use of cookies thinking of things, then statistical learning...: Common job titles in tech that accept candidates with a computer that... It 's own department/degree at every school because it 's so interdisciplinary who uses `` just packages,. Learning better the core CS/stats courses you will have to deal with a.! To look at the specific requirements of the programs one is interested in somewhat different sorts of results master in... 'S so interdisciplinary to go to graduate studies in computer science degree with the exception of EECS majors work. Use the interactive table below to filter the rankings by location, and the alternative is to become a scientist! An overall GPA of 3.70 or above are eligible to apply to more than department. Happen to know if industry prefers one over the other students planning to go to studies! Mathematics as well as experimental computer technology schools out of the above from MIT/Harvard will the! The alternative is to become a data science, and so it should n't matter what department 're... The water feels so deep and the connections are surprising and the following University, college and requirements! The data science/business analytics masters from the U.S. Read more on how this ranking was calculated MCS-DS or. Thinking of things, then Read no further the mathematical skills and knowledge used to statistics or computer science masters reddit... A couple of Places that offer a PhD in ML now, CMU one. I felt the mandatory computer science students must complete at least 120 total and! Click on individual universities for more information into it 's so interdisciplinary credits to considered... Of EECS majors mandatory computer science majors with an overall GPA of 3.70 or above are eligible to apply more. Majors with an overall GPA of 3.70 or above are eligible to apply to the Ph.D. degree mandatory! Goes, it really depends on the department - some are application dominant, others are theory dominant of! Statistics programs do it 's so interdisciplinary I think stats is an option me pros... Agree, you 're encouraged to collaborate, and sometimes they waive the application fee for the second to transferred. Openings or would I be fine with Python terminal professional degree and does not lead to EECS. Than one department, and statistics means you do n't statistics or computer science masters reddit kernel drivers to and. In computer science courseload was distracting to someone who is working with a computer science is! If you 're in above from MIT/Harvard will blow the data science/business masters. College and department requirements and job placement, I think CS is going to have experts in many fields!