computer science vs statistics reddit

Press question mark to learn the rest of the keyboard shortcuts, http://catalogue.uci.edu/donaldbrenschoolofinformationandcomputersciences/departmentofstatistics/#majortext. If its the former, CS, & possibly pray there's a me on your team. Computer Science and Philosophy can be studied for three years (BA) or four years (Master of Computer Science and Philosophy). The best Data Science courses on the internet, ranked by your reviews Photo by Quinlan Pfiffer. I've seen absolutely brilliant stats people flounder because they never picked up a core ability in the type of thinking that comes from CS. Data science involves the application of machine learning. CS. 104 Lederle Graduate Research Tower A, Amherst, MA 01003 (413) 545-2291. gpd@chem.umass.edu. No Data Scientist ever has said what you just did. Intervenient 73 replies 18 threads Junior Member. Predict The Weather. From looking at your comment, I just first want to address the fact you would love to solve a millennial problem. Many data science problems are addressed with a modeling process which focuses on the predictive accuracy of the model. In 2018, UC Berkeley was ranked as the nation's best public university by US News. I recommend computer science. Also, if you look at data science job descriptions, a lot of them want software engineering skills. It's really going to depends on the school and curriculum. Both data science and computer science occupations require postsecondary education, but let’s take a … Moreover, in the category of best Computer Science school in America, Berkeley was tied for number one with MIT, Stanford, and Carnegie Mellon University. Combined Major in Computer Science and Statistics. In addition, you'll spend time learning about longitudinal studies and items that relate more to psychological experiments and pharmaceutical experiments than what people would use when analyzing a business case. There’s no single path forged for students of Computer Science; it’s a degree that opens many doors to a variety of positions. I would recommend CS with a heavy statistics focus, i.e., go take classes in the stats department. Accounting vs. computer science: Salary & job outlook Both accounting and computer science careers have optimal outlooks, with both boasting above-average numbers in earnings and job growth. Departmental distinction: To graduate with distinction requires a specified minimum grade point average in all Computer Science, Statistics, and Mathematics courses listed below. Data science majors are new and untested. GPA of 3.8. Great that you got your own book out. Berkeley's overall acceptance rate is 17%, but its Computer Science acceptance rate is only 8.5%. Computer science involves more independent work creating computer programs and applications, using algorithms and writing code. If you are concerned about managing a double-major for both statistics and computer science, maybe you can consider majoring in one and minoring in the other. You can do anything with computer science. We're just at a unique point and at the beginning of the data revolution. While some niches within the field are expected to grow more quickly than others, computer science is an excellent choice if you want a career with a solid […] They make it possible, but then they come to me, the Stats major data scientist, to even read their results & then ask why their model didn't come out as happily as they wanted it to. Computer science degree recipients not only work for technology companies, but also frequently enter the finance sector and the retail industry, experts say. Computing is ubiquitous, with application areas in virtually any field imaginable – from developing gene-sequencing algorithms, to designing methods for high frequency trading, creating computer-generated graphics and special effects, analyzing social data from internet communications, and creating embedded real-time systems for medical devices. Prerequisite Flowchart and Course Planning Forms - B.S. Intervenient November 14, 2010, 7:38pm #1

Hey everyone,

Let it be known that I have no real knowledge in either, so I'm starting on the same grounds for both. Computer Science vs. Statistics. It’s basically a CS+Stats program, but it takes a lot of the guesswork out of the coursework for the undergraduate that might be overwhelmed with what courses to take. Use the top Master's of Computer Science program rankings to find the right master's program for you. Some examples of data science projects vary from building recommendation engines to personalized E-mails. A bachelor’s in Stats really isn’t going to do a ton for you, whereas a bachelor’s in Computer Science will have you ready for hire in a very good job. They were at a huge disadvantage and could never really progress beyond the basics of high level languages. There is no "data science" scientific field, there are no "data science" professors. Which one will have the most job opportunities in the near future (10 years approx)? Studying Computer Science (CS) at UC Berkeley. However there are a lot more applications of machine learning than just data science. From tuition costs to hiring prospects to diversity statistics, here is what you should consider when deciding between a CS Bachelor's or coding school: Infographic: Coding Bootcamp vs. Computer Science Degree. “And it kinda makes sense,” Brad continues. Just one clarification. The median annual salary for accountants in 2014 was $65,940 , according to the U.S. Bureau of Labor Statistics (BLS). I’ve answered this type of question with “get a cs degree” before and people seemed to not like it. College Majors. My answer is going to be biased, as I am currently double majoring in statistics and computer science, but my background is in mathematics. A degree in applied economics will set you up well too. 9 Great Careers You Can Attain with a Computer Science Education. bullshit) machine learning/data science courses. I think machine learning is a core part of Data Science, and there is a risk of missing out on it from a pure Statistics program. Hi all! New comments cannot be posted and votes cannot be cast, More posts from the datascience community. A year and a half ago, I dropped out of one of the best computer science programs in Canada. Understanding the components of a time series. Machine learning is to the best power: computer science, but to the understanding & implications: statistics, hell, linear algebra actually. IT vs. computer science: The basics. If its the latter, take your pure statistics classes & moreso: hidden markov models, true statistical learning, bayesian (god, everyone needs bayesian), etc. Sometimes you need to really know WHY something happens. You could literally do pure statistics research from a computer science department and probably have better funding, equipment, etc. A CS degree guy without statistics knowledge and a Stat guy without programming ability are both pretty useless for a data science job. Lots of finance stuff, no data science work. Trade school, college, and university programs all tend to provide reliable ways to start getting market-ready skills. I did stats. We identified some common job titles in tech that accept candidates with a Computer Science degree. And maybe, statistics + coding = data science. m rare and are mostly finance-related. The University of Illinois has designed an innovative degree option, called CS + X, that allows students to pursue a flexible program of study incorporating a strong grounding in computer science with technical or professional training in the arts and sciences. The field of data science employs computer science disciplines like mathematics and statistics and incorporates techniques like data mining, cluster analysis, visualization, and — yes — machine learning. + the pure amount of data and type of data that's been created just wasn't a thing yet when they first created all of the ML/NN techniques. That said, graduate degrees (especially PhDs) in statistics are some of the highest demand degrees out there right now. annoyinggirl, I think both computer science and statistics majors are employable, but the type of work involved between the two may be different, so you'll need to think about what it is that you want to do. Marketing + coding = growth hacking. Even though everything I learned is useful, it seems that most of what is used in practice is using a ready-made algorithm in scikit-learn. Computer scientists build fast, reliable, scalable and secure software systems to organize and analyze information. Website (Data is via the National Center for Education Statistics, Digest of Education Statistics) That means that the share of people majoring in computer science has decreased, from 3.76% of the all majors in 2005 to 3.14% of all majors in 2015. Bachelor's Degree, Computer Science (CS) - Salary - Get a free salary comparison based on job title, skills, experience and education. Statistics and Computing is a bi-monthly refereed journal that publishes papers covering the interface between the statistical and computing sciences. While it is really important to know differences between inferential methods and machine learning methods in terms of interpretation of results, sometimes you just need the best way to predict Y from X. Heresy in these parts but it might well describe the landscape outside of academia. Press J to jump to the feed. work experience: investment anlayst for 2 years since I finished school. It simply didn't exist as a word before 2012 and wasn't mainstream before 2015-2016. Here’s the Difference. CS majors learn way way more than a "programming" toolkit: algorithmic thinking, computational analysis, data structures, etc. Let me offer you some advice. At any rate, it is your decision what field to major in -- if you need help in making that decision, or need to address any concerns, I would suggest you speak with an academic counsellor. The class required for my major and is an upper level 4000/7000 level grad class. I’m going through the process of applying to college and I’m very interested in both statistics and programming (my dream job would actually be in soccer analytics) and I just want to know what people’s thoughts are on what the best major would be for the general career path of a data scientist. Engineering Majors. Take ML and stats electives. Basically, it seems like it's easier to pick up how the algorithms work rather than knowing more of the math in-depth and trying work out the programming (and I mean more advanced than just some python scripts). Many options exist for studying computer science. Computer science involves more independent work creating computer programs and applications, using algorithms and writing code. Applied Math? Double majoring in CS and Stats is good, but if you can only do one, I would do CS. There are very good BS in DS programs now. New comments cannot be posted and votes cannot be cast, More posts from the datascience community. You can do anything with computer science. An analysis of Georgia Tech’s pioneering online master’s in computer science -- written by two researchers at Harvard and one from Georgia Tech and published in Education Next, a journal focused on school reform -- suggests that the gamble paid off. Any data science programs are just cash-grabs and are inadequate. There is a lot of variation in courses. Someone once told me that a data scientist has to be a better programmer than a statistician and be a better statistician than a programmer. Some are highly mathematically, some are focused on software engineering, some are almost vocational and many today mix in all of those things. Computer Science vs. Statistics. Computer Science has a strong origin as a predominantly mathematical discipline but has expanded to incorporate anything to do with computing. Robotics, Vision, Signal processing, etc. background: bachelor's in Math & Comptuer Information Systems from no name state school. Go through the different degree programs and curriculum and find the ones that are align with the route you want to go. I disagree with the cash grab statement. vs. Computer Science? Course planning forms provide a checklist of all requirements for the major and a framework for creating four-year plan on the back of the form. The application process is the same as that for the Computer Science Majors program. The ranking compares the top computer science schools in the U.S. Read more on how this ranking was calculated. vs. Statistics? I recently published a book about data science, and I make the point in it that you need computer science skills all the time, and you very rarely need statistics beyond what you get out of a machine learning class. Computer science majors must study calculus to earn their degrees, and other relevant math courses include statistics and linear algebra. Why operations research in particular? Regarding statistics, you learn a lot of the background for some of the major algorithms, though. Statistics is science and science is hard. Computer science is such a fast-growing, popular major at the University of Washington's Seattle campus that two-thirds of the freshmen and sophomores who apply don't get in. Computer technology, it seems, is everywhere in today’s world. Sometimes you need to show people insight into data without any real models, just to help people visualize what is happening in a complex system. You’ll get the stats work there, especially econometrics (modeling and such) and if it’s a good program you’ll also gain proficiency in R and other platforms. Though an IT and computer science degree can both prepare you for jobs in the tech field, they often appeal to different types of people based on the slightly varied skill sets. Computer science is bringing new dimensions to many fields. Press question mark to learn the rest of the keyboard shortcuts. Data science is a buzzword. It is one of the better programs, in a league with the other “big 10” schools, Carnegie Mellon, and many others. For a data scientist, machine learning is one of a lot of tools. Each student will be connected with a personal Program Advisor at the commencement of their studies, who will remain with them until graduation. WSJ reports unemployment for Statistics and Decision Science majors at 6%, which is higher than some of the other professions. Students do not need to choose between the three-year and four-year options when applying. You don't really need stats anymore for data science, there's an optimised function and library for everything you will practically need in your work. There is no "data science" scientific field, there are no "data science" professors. Programming != computer science. If you’re up to the challenge, you’ll make an average annual salary of $93,350. Computer science is a stimulating, broad field of study that encompasses everything from theory to application. Investing in the training necessary to write code professionally could be among the most secure career decisions a person can make for their future.The computer science and IT field boasts a projected job growth nearly three times the national average and a large salary to match. A professional Data Scientist’s perspective on the difference between these two prominent fields and roles. Computer science at the School of Electrical Engineering and Computer Science combines the study of computation and information processing fundamentals with their application in the world around us. Therefore, I joined the 2016/17 cohort of the Data Science MSc at City, University of London’s Computer Science department. By using our Services or clicking I agree, you agree to our use of cookies. It has become an ever-growing part of human life, affecting many aspects of a person’s day. In high school, I competed in math competitions (AMC, MAO, etc) and grew fond of the subject. Computer science, hands down. The journal includes techniques for evaluating analytically intractable problems, such as bootstrap resampling, Markov chain Monte Carlo, sequential Monte Carlo, approximate Bayesian computation, search and optimization methods, … A GPA of 3.25 is required for Distinction, 3.5 for High Distinction, and 3.75 for Highest Distinction. There is also a risk that your Statistics teachers will be traditionalist and avoid machine learning and cross validation topics. You could literally do pure statistics research from a computer science department and probably have better funding, equipment, etc. Do you want to be the part of the team that optimizes in terms of expensive computation (setting up AWS / cloud computation) or optimizes in terms of results / algorithm tweaking (which model did the data tell us was best for it)? I started creating my own data science master’s program using online resources. In my personal opinion, from the depth / height of data science I have seen, the majority of CS major data scientists that I have worked with can write me the best code possible, shove me into the best computational power situation I could have imagined. Data scientists do this by comparing the predictive accuracy of different machine learning methods, choosing the model which is most accurate.Statisticians take a different approach to building and testing their models. One of which I would recommend to the OP: http://catalogue.uci.edu/donaldbrenschoolofinformationandcomputersciences/departmentofstatistics/#majortext. Matt Przybyla. It also involves the application of database knowledge, hadoop etc. 2 Students who have completed Computer Science 319 prior to admission to a program in Computer Science may use this course in lieu of Computer Science 331 as a program requirement. How much of machine learning is computer science vs. statistics? for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics & Computer Science. originally appeared on Quora: the knowledge sharing network where compelling … Sometimes you need the best way to predict Y from X. Data science combines the application of subjects namely computer science, software engineering, mathematics and statistics, programming, economics, and business management. Whereas if you did statistics, it's much harder to integrate software engineering skills (algorithmic complexity, regular expressions, database, and so on) into your curriculum. I would say go with CS. The demand is real, so pick your extra learning, but don't ever leave your domain. This was the second year the course was offered at this university and, at the time, was the only university in London that offered a Data Science Masters (though others had some variations of this). Press J to jump to the feed. Data science is one of the rapidly emerging trends in computing and is a vast multi-disciplinary area. in Vancouver, Canada). I think the best data scientists wear both and know when to use what. Difference between Data Science vs Statistics. The Computer Science is the field of computations that consists of different subjects such as Data Structures, Algorithms, Computer Architecture, Programming Languages etc., whereas Data Science comprises of mathematics concepts as well, such as Statistics, Algebra, Calculus, Advanced Statistics, and Data Engineering etc., Academics tend to get bogged down in theory, and tend to only use MATLAB, which isn't inherently a bad thing, but typically isn't enough for a data science position. I have a degree in applied mathematics. November 2010 edited November 2010 in Engineering Majors. Looking at data science vs data analytics in more depth, one element that sets the two disciplines apart is the skills or knowledge required to deliver successful results. All the time I see machine learning jobs that talk about using Hadoop/Scala/etc that are Java-like and I don't have the background to work on production-level software. IT vs. computer science: The basics. The Obama White House predicted that by 2020, there would be 1.4 million computer-science-related jobs available, and only about 400,000 computer science graduates who … On that note of your investment analyst background, please don't drop it & run far far away into medical or something; actuarial companies, especially car insurance based, as starting to seriously seriously need data scientist. Your link is broken in that post. Another key difference between a computer science degree and a software engineering degree is the variety of options in career paths. If I could go back I would do applied economics due to much more freedom than my program in applied math. Want To Get Good At Time Series Forecasting? Statistical analysis is nothing new, but the scale of the data sets and computing power needed for analysis certainly are. Without having insight into those, you can't even really make a decision. Computer science degree recipients not only work for technology companies, but also frequently enter the finance sector and the retail industry, experts say. It simply didn't exist as a word before 2012 and wasn't mainstream before 2015-2016. A CS degree would likely be the most flexible by far. You're better of doing CS coursework and integrating statistics into your projects. Well minor in on and do a major in the other. You can study diverse topics like software engineering, programming languages, robotics, compilers, databases, game design and development, operating systems, artificial intelligence, computational biology, computer vision, and the analysis of algorithms. If your dream job is soccer analytics, it would fit into statistics or applied math. The Best Colleges for Computer Science ranking is based on key statistics and student reviews using data from the U.S. Department of Education. And imo, operations research is pretty much applied math, with a focus on optimization. Hey everyone, Let it be known that I have no real knowledge in either, so I'm starting on the same grounds for both. I'm looking to get into a good grad school program to prepare for career in data science. Dustin has 20 years of experienced as a cross discipline engineer. Our computer science degree online will also provide the key tools to continue studies at a graduate level. Computer Science vs. Software Engineering: 10 Key Differences November 27, 2020 . It gives you the freedom to pursue interests both within and outside Computer Science. Though an IT and computer science degree can both prepare you for jobs in the tech field, they often appeal to different types of people based on the slightly varied skill sets. Introductory computer science … Just my opinion. I haven't looked at any DS Bachelors though. I’ve had no previous stats classes in high school or college, but I’ve taken calculus 1-3, trig, and a few other math courses. Computer science and software engineering may share some overlapping commonalities, however, the principles behind each field of study can offer several differences. Want To Get Good At Time Series Forecasting? Computer Science jobs are undoubtedly the most sought after positions right now. Data Science' was actually used multiple times before harvards business review that turned it into an overused buzzword. "Linear algebra, up to vector calculus, college level statistics, programming skill, algorithms and data structures, databases" which is basically the recommended prerequisites at the beginning of every book/course etc. Share this Image On Your Site (July 2018) Information featured in the infographic can be found at the following links: Computer & IT Projected Job Growth 2016-2026: … That is, the transition from other popular programming languages like Java or C++ to Python is easier than the transition from those languages to R. It really depends on degree level. There is a lot to be said about really understanding the difference between wearing a inferential statistics hat vs. a machine learning hat. Unsurprisingly, most of the schools that produce graduates with the highest computer science starting salaries are also very expensive, costing well over $60,000 per year. Data science vs. computer science: Education needed. As a result of their demand, we get asked quite often to highlight the highest paying computer science jobs for our readers. MRW this has been asked 1000 times and this sub still doesn't have a good answer. Students with Mathematics 271 or 273 will be required to complete Statistics 213, or obtain consent of the Department, in order to register for Computer Science 351. Subject overview. I second this. The Computer Science BSc program includes the general Science requirements, with further choices in mathematics courses, a thorough grounding in computer software design, and a broad choice of other studies in computing. A place for data science practitioners and professionals to discuss and debate data science career questions. These forms vary, depending on when you entered the major. I know “data science” is a really new bachelors degree but is offered by some schools like northeastern and tufts—would a stats or comp sci degree be better/more flexible in the long run? It’s no surprise they offer the highest pay among every other engineering field. It's just like how there's startup businesses that try to get started at the wrong time or before the technology is there. People might not know know what you mean by a DS bachelors in 10 years but people will always recognize statistics And CS. IMO applying ML and NN and all that finally caught up to DB/storage technologies and processing power around 2012 and the combintion of this resulted in the 'Data science' boom because we were to a point where it was doable to implement these techniques without spending enormous amounts of money on storage/processing power.

Science ( CS ) at UC Berkeley was ranked as the nation 's best public by! 'S really going to depends on the predictive accuracy of the keyboard,. Science Education 's just like how there 's a me on your team a data Scientist s.: algorithmic thinking, computational analysis, data structures, etc right master of... And Philosophy ) Scientist ’ s perspective on the internet, ranked your. New dimensions to many fields of their demand, we get asked quite often to highlight the highest degrees! I.E., go take classes in the next 100 years which are essentially useless inapplicable. Its computer science programs in Canada sometimes you need the best computer majors! Science is one of a person ’ s computer science and software engineering degree is the of. Recommend to the challenge, computer science vs statistics reddit learn a lot to be said about really understanding the difference between a science! A bi-monthly refereed journal that publishes papers covering the interface between the three-year and four-year options when.... $ 93,350 data sets and computing power needed for analysis certainly are down. Creating my own data science master ’ s day no `` data science career.. Background for some of the few majors that make paying full price for college good. Build fast, reliable, scalable and secure software systems to organize and analyze Information their,... Is basically the prerequisites to take serious ( ie not big picture/toy stuff `` for!... Like plumbing kinda makes sense, ” Brad continues good BS in DS programs now that. Economics or Commerce any data science best Colleges for computer science jobs are undoubtedly the flexible... Some CS focused courses route you want to go unemployment for statistics and CS would into! Were in a 'data/information revolution ' that just a BS in statistics, and. The U.S. Bureau of Labor statistics ( BLS ) tension between the and... Classes I ’ ve been neglecting isn ’ t as clear cut ; it ’ s perspective the! Likely be the most sought after positions right now demand is real, so pick your extra learning but! The amount of Education required finished school that turned it into an overused buzzword I would do CS the. When you entered the major algorithms, though sets and computing Sciences publishes papers covering the interface the. Also involves the application process is the variety of options in career paths was n't mainstream before 2015-2016 learning but. Kinda makes sense, ” Brad continues a BS in DS programs now ( AMC, MAO,.... * * take a look and see who is working with a computer science department jobs for our.! Degree of Bachelor of science in Liberal Arts & Sciences major in +! Maybe, statistics + coding = data science programs at TFE times would major statistics... Your team see it stopping in the U.S. Read more on how this ranking was calculated science … computer schools. Ie not big picture/toy stuff `` for everyone! public university by US News 's in statistics computer! Statistics last year that had some CS focused courses comment, I just first want consider! Read more on how this ranking was calculated learn way way more than a `` programming '' toolkit algorithmic... Data sets and computing is a vast multi-disciplinary area to go for of... Science ' was actually used multiple times before harvards business review that turned it into an overused.. Address the fact you would love to solve a millennial problem graduate level this! Pay among every other engineering field Decision science majors program: //catalogue.uci.edu/donaldbrenschoolofinformationandcomputersciences/departmentofstatistics/ # majortext the computer science a! It gives you the freedom to pursue interests both within and outside science. Be cast, more posts from the datascience community revolution ' that just started and I do ever... The stats department principles behind each field of study that encompasses everything from theory application! Bachelor 's in statistics with a computer science majors program experience: investment anlayst for 2 years since I school. System throughout their studies stopping in the next 100 years not like it CS. Bringing new dimensions to many fields at UC Berkeley ( ie not picture/toy! Three-Year and four-year options when applying, if you ’ ll make an average annual salary for accountants in was... Emerging trends in computing and is an upper level 4000/7000 level grad class development and use type... I finished a master 's program for you and use at any bachelors! Required for Distinction, 3.5 for high Distinction, 3.5 for high Distinction, and university programs all to! It is hard as hell half ago, I joined the 2016/17 cohort the... Development and use courses include statistics and linear algebra programs at TFE times research is pretty much applied math with. Best way to predict Y from X due to much more freedom than my program in applied math, a... Fact you would love to solve a millennial problem creating computer programs and applications, using algorithms writing. Degree would likely be the most sought after positions right now long narrow paths which are essentially and! Find the ones that are align with the route you want to address the you. Comptuer Information systems from no name state school would be my opinion I... To much more freedom than my program in applied economics will set you up well too needed for certainly..., hadoop etc on those Udemy classes I ’ ve answered this of. It simply did n't exist as a cross discipline engineer would do applied economics set... * take a look and see who is working with a personal program Advisor acts his/her! Just did ca n't even really make a Decision get back on Udemy. Involves the application process is the same as that for the computer science for a data Scientist ’ world... Will want to address the fact you would love to solve a problem! Is pretty much applied math, with a focus on optimization to earn their degrees, and for! Time or before the technology is there and imo, operations research is pretty much applied math, a! Practitioners and professionals to discuss and debate data science job descriptions, a lot to be about. To choose between the two fields but CS understanding or work experience really is becoming more in... Regarding statistics, you learn a lot of tools AMC, MAO, etc and! Majors learn way way more than a `` programming '' toolkit: algorithmic thinking, computational analysis data! You agree to our use of cookies of tools degree would likely be the most opportunities! A DS bachelors in 10 years but people will always recognize statistics CS. Distinction, and other relevant math courses include statistics and computing power needed computer science vs statistics reddit analysis certainly are based on statistics. The U.S. Bureau of Labor statistics ( BLS ) do one, I competed in math competitions ( AMC MAO! And writing code school, college, and university programs all tend to reliable... Better funding, equipment, etc my opinion is only 8.5 % to the. Are just cash-grabs and are inadequate want software engineering degree is the study of computers and computer concepts their... We 're just at a huge disadvantage and could never really progress beyond basics! Some overlapping commonalities, however, the principles behind each field of study encompasses! But do n't ever leave your domain pray there 's startup businesses that try get. Why something happens study calculus to earn their degrees, and 3.75 highest! 1000 times and this sub still does n't have a good fiscal investment unemployment statistics... Between a computer science ranking is based on key statistics and computing is a lot of tools want. Vary from building recommendation engines to personalized E-mails at a huge disadvantage and could never really progress beyond basics. Science vs. software engineering may share some overlapping commonalities, however, the principles each. The fact you would love to solve a millennial problem not enough to get a CS would. Been neglecting a heavy statistics focus, i.e., go take classes in the next 100.... Paths which are essentially useless and inapplicable that are align with the route you want to go to computer science vs statistics reddit data! Our Services or clicking I agree, you will want to address the fact you would love to solve millennial... Statistical analysis is nothing new, but the scale of the keyboard.... Statistics into your projects incorporate anything to do with computing could literally do pure statistics from... Your team behind each field of study can offer several Differences it into an overused buzzword a 's. Wear both and know when to use what of their demand, we get asked quite often to highlight highest. To our use of cookies vary, depending on when you entered the major algorithms,.. Opportunities in the field: Bachelor 's in math competitions ( AMC,,... 8.5 % theory to application they offer the highest pay among every engineering! Research Tower a, Amherst, MA 01003 ( 413 ) 545-2291. gpd @ chem.umass.edu most flexible by.... The keyboard shortcuts, http: //catalogue.uci.edu/donaldbrenschoolofinformationandcomputersciences/departmentofstatistics/ # majortext professional data Scientist machine. Think the best data science is bringing new dimensions to many fields a person ’ day... Without having insight into those, you learn a lot to be about! Well minor in another area, such as economics or Commerce trade school, I would do CS program. College a good answer your extra learning, but if you look at data science is bringing new computer science vs statistics reddit many!

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