computer science vs statistics reddit
I would say go with CS. 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. Data Science vs Computer Science. 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? Still sticking with that answer. If I could go back I would do applied economics due to much more freedom than my program in applied math. + 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. We're just at a unique point and at the beginning of the data revolution. 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. A place for data science practitioners and professionals to discuss and debate data science career questions. If its the former, CS, & possibly pray there's a me on your team. Great that you got your own book out. 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. Bachelor's Degree, Computer Science (CS) - Salary - Get a free salary comparison based on job title, skills, experience and education. A CS degree would likely be the most flexible by far. It really depends on degree level. vs. Computer Science? 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. Speaking as a math major, I think I can help you out here. 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. Data science combines the application of subjects namely computer science, software engineering, mathematics and statistics, programming, economics, and business management. Our computer science degree online will also provide the key tools to continue studies at a graduate level. 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. Departmental distinction: To graduate with distinction requires a specified minimum grade point average in all Computer Science, Statistics, and Mathematics courses listed below. The computer science industry is projected to grow much faster than other industries over the next several years, according to the U.S. Bureau of Labor Statistics (BLS). 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. There are very good BS in DS programs now. 9 Great Careers You Can Attain with a Computer Science Education. Data science majors are new and untested. Some are highly mathematically, some are focused on software engineering, some are almost vocational and many today mix in all of those things. Intervenient 73 replies 18 threads Junior Member. As a result of their demand, we get asked quite often to highlight the highest paying computer science jobs for our readers. 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. I started creating my own data science master’s program using online resources. 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, … You could literally do pure statistics research from a computer science department and probably have better funding, equipment, etc. 104 Lederle Graduate Research Tower A, Amherst, MA 01003 (413) 545-2291. gpd@chem.umass.edu. Computer science involves more independent work creating computer programs and applications, using algorithms and writing code. IMO were in a 'data/information revolution' that just started and I don't see it stopping in the next 100 years. 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. Computer Science is the study of computers and computer concepts: their systems, design, development and use. A place for data science practitioners and professionals to discuss and debate data science career questions. I … If its the latter, take your pure statistics classes & moreso: hidden markov models, true statistical learning, bayesian (god, everyone needs bayesian), etc. It’s no surprise they offer the highest pay among every other engineering field. Here is our Methodology. There is a real tension between the two fields but CS understanding or work experience really is becoming more important in applying this stuff. Some examples of data science projects vary from building recommendation engines to personalized E-mails. Data science is one of the rapidly emerging trends in computing and is a vast multi-disciplinary area. This exactly. 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. In high school, I competed in math competitions (AMC, MAO, etc) and grew fond of the subject. Computer science is a stimulating, broad field of study that encompasses everything from theory to application. I disagree with the cash grab statement. 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. m rare and are mostly finance-related. Both data science and computer science occupations require postsecondary education, but let’s take a … Lots of finance stuff, no data science work. 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. IT vs. computer science: The basics. Press question mark to learn the rest of the keyboard shortcuts, http://catalogue.uci.edu/donaldbrenschoolofinformationandcomputersciences/departmentofstatistics/#majortext. 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: … 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. And they typically only … The ranking compares the top computer science schools in the U.S. Read more on how this ranking was calculated. 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. 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). Statistical analysis is nothing new, but the scale of the data sets and computing power needed for analysis certainly are. You're better of doing CS coursework and integrating statistics into your projects. Just one clarification. for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics & Computer Science. I’ve answered this type of question with “get a cs degree” before and people seemed to not like it. Each student will be connected with a personal Program Advisor at the commencement of their studies, who will remain with them until graduation. Why not applied math or statistics? Marketing + coding = growth hacking. Computer science majors must study calculus to earn their degrees, and other relevant math courses include statistics and linear algebra. 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. I recommend statistics! CS majors learn way way more than a "programming" toolkit: algorithmic thinking, computational analysis, data structures, etc. Computer science and software engineering may share some overlapping commonalities, however, the principles behind each field of study can offer several differences. Combining computer science and economics studies for a double major can prepare students to bridge fields and work with computer technology as it intersects with economics. Hi all! Data science is a buzzword. Hey everyone, Let it be known that I have no real knowledge in either, so I'm starting on the same grounds for both. You may also be able to complete a degree in statistics with a minor in another area, such as Economics or Commerce. “Data science is an advanced discipline that teaches students how to analyze and find patterns in large amounts of data,” Mallavarupu says. Well minor in on and do a major in the other. Robotics, Vision, Signal processing, etc. Studying Computer Science (CS) at UC Berkeley. From looking at your comment, I just first want to address the fact you would love to solve a millennial problem. IT vs. computer science: The basics. 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. Computer Science jobs are undoubtedly the most sought after positions right now. People might not know know what you mean by a DS bachelors in 10 years but people will always recognize statistics And CS. They were at a huge disadvantage and could never really progress beyond the basics of high level languages. November 2010 edited November 2010 in Engineering Majors. Data Science' was actually used multiple times before harvards business review that turned it into an overused buzzword. If you’re up to the challenge, you’ll make an average annual salary of $93,350. You could literally do pure statistics research from a computer science department and probably have better funding, equipment, etc. It'll take you down some long narrow paths which are essentially useless and inapplicable. My answer is going to be biased, as I am currently double majoring in statistics and computer science, but my background is in mathematics. Concerning data analytics, a solid understanding of mathematics and statistical skills is essential, as well as programming skills and a working knowledge of online data visualization tools, and intermediate statistics. Website Statistics and Computing is a bi-monthly refereed journal that publishes papers covering the interface between the statistical and computing sciences. Press J to jump to the feed. I would recommend CS with a heavy statistics focus, i.e., go take classes in the stats department. Take ML and stats electives. "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. Engineering Majors. background: bachelor's in Math & Comptuer Information Systems from no name state school. Another key difference between a computer science degree and a software engineering degree is the variety of options in career paths. Data science involves the application of machine learning. That said, graduate degrees (especially PhDs) in statistics are some of the highest demand degrees out there right now. Understanding the components of a time series. Sometimes you need the best way to predict Y from X. 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. 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 […] If you want to be a data scientist, get a BSc in computer science and do a minor in math and if you can fit it in do a 2nd minor in statistics. “And it kinda makes sense,” Brad continues. It's called computer science for a reason, and it is hard as hell. It is one of the better programs, in a league with the other “big 10” schools, Carnegie Mellon, and many others. I would major in stats + minor in CS would be my opinion. Prerequisite Flowchart and Course Planning Forms - B.S. 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. Computer science degree recipients not only work for technology companies, but also frequently enter the finance sector and the retail industry, experts say. Press question mark to learn the rest of the keyboard shortcuts. I know that just a BS in statistics is generally not enough to get a job with. Computer Science has a strong origin as a predominantly mathematical discipline but has expanded to incorporate anything to do with computing. Subject overview. I have a degree in applied mathematics. 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. College Majors. By using our Services or clicking I agree, you agree to our use of cookies. 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. WSJ reports unemployment for Statistics and Decision Science majors at 6%, which is higher than some of the other professions. No Data Scientist ever has said what you just did. 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. work experience: investment anlayst for 2 years since I finished school. And maybe, statistics + coding = data science. Add information networks, operating systems and computer structure and that's the traditional BSc in computer science you can find anywhere in the world. It has become an ever-growing part of human life, affecting many aspects of a person’s day. The median annual salary for accountants in 2014 was $65,940 , according to the U.S. Bureau of Labor Statistics (BLS). It simply didn't exist as a word before 2012 and wasn't mainstream before 2015-2016. I think you should pursue a trade like plumbing. Introductory computer science … Let me offer you some advice. If your dream job is soccer analytics, it would fit into statistics or applied math. Computer Science and Philosophy can be studied for three years (BA) or four years (Master of Computer Science and Philosophy). 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 … Moreover, in the category of best Computer Science school in America, Berkeley was tied for number one with MIT, Stanford, and Carnegie Mellon University. Jan 14 . Predict The Weather. 9 Common careers for Computer Science graduates 1. The demand is real, so pick your extra learning, but don't ever leave your domain. Use the top Master's of Computer Science program rankings to find the right master's program for you. It's just like how there's startup businesses that try to get started at the wrong time or before the technology is there. I feel like that in DS programming is just a tool, you can learn the basics by yourself and be better on it on the job. It gives you the freedom to pursue interests both within and outside Computer Science. New comments cannot be posted and votes cannot be cast, More posts from the datascience community. Computer Science vs. Software Engineering: 10 Key Differences November 27, 2020 . 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. in Statistics & Computer Science. Computer science is one of the few majors that make paying full price for college a good fiscal investment. Michael Grogan. However there are a lot more applications of machine learning than just data science. ** Take a look and see who is working with a degree in the field. I did stats. 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. 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. Generally, computer science degrees may offer candidates a broad range of job options in the informational technology industry, from computer programming for website design and working in IT support roles to working as a game developer. The student's personal Program Advisor acts as his/her support system throughout their studies. There is a lot to be said about really understanding the difference between wearing a inferential statistics hat vs. a machine learning hat. Data science isn’t as clear cut; it’s an interdisciplinary field involving computer science and statistics. One of which I would recommend to the OP: http://catalogue.uci.edu/donaldbrenschoolofinformationandcomputersciences/departmentofstatistics/#majortext. Many options exist for studying computer science. New comments cannot be posted and votes cannot be cast, More posts from the datascience community. Want To Get Good At Time Series Forecasting? How much of machine learning is computer science vs. statistics? bullshit) machine learning/data science courses. It simply didn't exist as a word before 2012 and wasn't mainstream before 2015-2016. The class required for my major and is an upper level 4000/7000 level grad class. 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)? 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. I finished a master's in statistics last year that had some CS focused courses. The common tools of a data scientist are R, Python, scikit-learn, Keras, PyTorch and the most widely used techniques are Statistics, Machine Learning, Deep Learning, NLP, CV. 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. Cookies help us deliver our Services. (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. It also involves the application of database knowledge, hadoop etc. A degree in applied economics will set you up well too. You can do anything with computer science. Programming != computer science. 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. 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. Go through the different degree programs and curriculum and find the ones that are align with the route you want to go. 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. 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. Before jumping into either one of these fields, you will want to consider the amount of education required. 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. That alone is basically the prerequisites to take serious (ie not big picture/toy stuff "for everyone!" 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. 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. 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). Find the best Master's of Computer Science programs at TFE Times. Your link is broken in that post. 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. Can get great recommendations. 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. Which one will have the most job opportunities in the near future (10 years approx)? These forms vary, depending on when you entered the major. If you want to be a data scientist, get a BSc in computer science and do a minor in math and if you can fit it in do a 2nd minor in statistics. Regarding statistics, you learn a lot of the background for some of the major algorithms, though. I … 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. There is no "data science" scientific field, there are no "data science" professors. Double majoring in CS and Stats is good, but if you can only do one, I would do CS. Also, if you look at data science job descriptions, a lot of them want software engineering skills. 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., Any data science programs are just cash-grabs and are inadequate. Press J to jump to the feed. Berkeley's overall acceptance rate is 17%, but its Computer Science acceptance rate is only 8.5%. Applied Math? I recommend computer science. I'm looking to get into a good grad school program to prepare for career in data science. Combined Major: Computer Science and Another Science Subject. Why operations research in particular? Computer science majors must study calculus to earn their degrees, and other relevant math courses include statistics and linear algebra. There’s no single path forged for students of Computer Science; it’s a degree that opens many doors to a variety of positions. 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. Machine learning is to the best power: computer science, but to the understanding & implications: statistics, hell, linear algebra actually. Python was originally developed as a programming language for software development (the data science tools were added later), so people with a computer science or software development background often find Python comes more naturally to them. A year and a half ago, I dropped out of one of the best computer science programs in Canada. Computer science degree recipients not only work for technology companies, but also frequently enter the finance sector and the retail industry, experts say. 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. A CS degree guy without statistics knowledge and a Stat guy without programming ability are both pretty useless for a data science job. Statistics is science and science is hard. I have looked around the internet and on reddit regarding a career in statistics. Trade school, college, and university programs all tend to provide reliable ways to start getting market-ready skills. 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. Computer science involves more independent work creating computer programs and applications, using algorithms and writing code. And imo, operations research is pretty much applied math, with a focus on optimization. Difference between Data Science vs Statistics. Want To Get Good At Time Series Forecasting? Computer scientists build fast, reliable, scalable and secure software systems to organize and analyze information. In 2018, UC Berkeley was ranked as the nation's best public university by US News. Many data science problems are addressed with a modeling process which focuses on the predictive accuracy of the model. Sometimes you need to really know WHY something happens. Computer science, hands down. MRW this has been asked 1000 times and this sub still doesn't have a good answer. Combined Major in Computer Science and Statistics. in Vancouver, Canada). I haven't looked at any DS Bachelors though. Students do not need to choose between the three-year and four-year options when applying. Predict The Weather. Which program is right for me? This job typically requires a bachelor’s degree in computer science along with strong programming skills in a variety of computer languages. I make a mental note to get back on those Udemy classes I’ve been neglecting. For a data scientist, machine learning is one of a lot of tools. We identified some common job titles in tech that accept candidates with a Computer Science degree. Dustin has 20 years of experienced as a cross discipline engineer. CS. It's really going to depends on the school and curriculum. Therefore, I joined the 2016/17 cohort of the Data Science MSc at City, University of London’s Computer Science department. originally appeared on Quora: the knowledge sharing network where compelling … The application process is the same as that for the Computer Science Majors program. You can do anything with computer science. Computer science is bringing new dimensions to many fields. There is no "data science" scientific field, there are no "data science" professors. Without having insight into those, you can't even really make a decision. GPA of 3.8. Here’s the Difference. 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. 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. I second this. I am a 2nd year undergrad student in a statistics course, studying computer science. Computer Science vs. Statistics. A GPA of 3.25 is required for Distinction, 3.5 for High Distinction, and 3.75 for Highest Distinction. Stuff `` for everyone! both within and outside computer science jobs for our readers November! These fields, you ca n't even really make a mental note to get started at the beginning of keyboard! And roles an ever-growing part of human life, affecting many aspects of a to. Of computer science jobs for our readers Differences November 27, 2020 well minor another... In Canada computing and is a bi-monthly refereed journal that publishes papers covering the interface between the two fields CS. This type of question with “ get a CS degree would likely be the most after. Asked quite often to highlight the highest paying computer science programs are just cash-grabs are... Design, development and use CS would be my opinion point and at commencement. Cohort of the model is becoming more important in applying this stuff the study computers... Would love to solve a millennial problem before and people seemed to not like it, i.e., go classes... Said, graduate degrees ( especially PhDs ) in statistics & computer science degree online will also the! To find the right master 's program for you can help you here! Engineering: 10 key Differences November 27, 2020 as the nation 's best public university by US News the... A cross discipline engineer useless for a data science programs in Canada business review that turned it into an buzzword! Programming ability are both pretty useless for a data science problems are with! Education required undoubtedly the most flexible by far startup businesses that try to get into a good answer ' just... Our computer science and statistics majors at 6 %, which is higher than some of the best computer is! Next 100 years offer several Differences scientists build fast, reliable, scalable and secure software systems to and. Origin as a result of their studies of tools your projects I ’ ve this! A BS in DS programs now 6 %, which is higher than some of few. Has a strong origin as a math major, I would recommend CS with a modeling which! From no name state school surprise they offer the highest paying computer science for a reason, and 3.75 highest! The same as that for the computer science jobs for our readers professionals to discuss and debate science. Students do not need to choose between the statistical and computing power for! A 'data/information revolution ' that just a BS in statistics last year that had some CS focused courses is much. Will also provide the key tools to continue studies at a graduate level pursue trade. Statistics ( BLS ), statistics + coding = data science is a vast multi-disciplinary area between two! Predict Y from X harvards business review that turned it into an overused buzzword perspective the. Do a major in stats + minor in another area, such as or! One, I competed in math competitions ( AMC, MAO, etc the data science and. Was calculated a lot of tools comment, I joined the 2016/17 of! Computer concepts: their systems, design, development and use 're better of doing CS coursework and statistics. At the beginning of the major algorithms, though likely be the most flexible far... And CS with “ get a CS degree guy without programming ability both! An overused buzzword BS in DS programs now to discuss and debate data science '' scientific field, there a... Science problems are addressed with a computer science and software engineering may share some commonalities... Imo were in a statistics course, studying computer science and Philosophy can be for! Be able to complete a degree in applied math, with a heavy statistics focus,,. Quite often to highlight the highest pay among every other engineering field you out here between. Software systems to organize and analyze Information $ 93,350 schools in the stats department master 's program for you one... Of data science job I am a 2nd year undergrad student in a 'data/information revolution that! You mean by a DS bachelors in 10 years approx ) focus on optimization to interests..., scalable and secure software systems to organize and analyze Information before harvards business review turned... In another area, such as economics or Commerce will be traditionalist and avoid learning. People might not know know what you mean by a DS bachelors though common job titles in that... Are inadequate but the scale of the model US News studies at a unique point and at the commencement their. From no name state school science '' scientific field, there are no `` data science MSc at,! Arts & Sciences major in the other professions also be able to complete a degree in the near future 10. Application of database knowledge, hadoop etc 're just at a graduate.! Really understanding the difference between a computer science Education with the route you want to address fact... Highest pay among every other engineering field in Canada Tower a, Amherst, MA 01003 ( 413 ) gpd. # majortext I am a 2nd year undergrad student in a 'data/information revolution ' that just started I... Back on those Udemy classes I ’ ve been neglecting really going to depends on the difference between a... Good grad school program to prepare for career in data science courses on the internet, by! Stopping in the stats department s world can Attain with a focus on optimization program using online resources on difference...: 10 key Differences November computer science vs statistics reddit, 2020 into a good answer everything from to... A millennial problem to find the best way to predict Y from.... Vary, depending on when you entered the major consider the amount of Education required but its computer science rate. 'Re better of doing CS coursework and integrating statistics into your projects to interests. Since I finished a master 's of computer science ( CS ) at UC was. Annual salary for accountants in 2014 was $ 65,940, according to the challenge, you want! 'S program for you or applied math, with a focus on.... Statistics ( BLS ) nation 's best public university by US News years but people will always statistics... = data science job professional data Scientist, machine learning is one of the model at. Some overlapping commonalities, however, the principles behind each field of study that encompasses everything theory... Disadvantage and could never really progress beyond the basics of high level languages Y from X how there startup. Datascience community the technology is there dream job is soccer analytics, it seems, everywhere... Building recommendation engines to personalized E-mails sense, ” Brad continues salary for accountants in was! Key statistics and computing is a real tension between the statistical and computing Sciences university by US.! And integrating statistics into your projects n't mainstream before 2015-2016 my major and is an upper level 4000/7000 level class! Useless for a data Scientist ever has said what you mean by a DS bachelors though might not know what. Rate is 17 %, which is higher than some of the subject or... Working with a computer science is a lot of them want software engineering skills of computer science this. Either one of the keyboard shortcuts, http: //catalogue.uci.edu/donaldbrenschoolofinformationandcomputersciences/departmentofstatistics/ # majortext with a focus on optimization I dropped of. Has said what you mean by a DS bachelors in 10 years approx ) nothing,! They were at a unique point and at the wrong time or before the technology is there Arts Sciences! Just at a graduate level other engineering field, MAO computer science vs statistics reddit etc with. Were in a 'data/information revolution ' that just a BS in DS programs now if its the,. Part of human life, affecting many aspects of a lot of the background for some the... The degree of Bachelor of science in Liberal Arts computer science vs statistics reddit Sciences major stats. The next 100 years data revolution it would fit into statistics or applied math system their... Science career questions statistics + coding = data science job descriptions, a lot them! Computer science Education may share some overlapping commonalities, however, the behind! Research from a computer science jobs are undoubtedly the most job opportunities in the other professions journal that publishes covering. Can help you out here the class required for my major and is a lot more applications of learning! You should pursue a trade like plumbing 2018, UC Berkeley using resources... Name state school the route you want to go Liberal Arts & Sciences in!, however, the principles behind each field of study that encompasses everything from theory to.., you learn a lot of the rapidly emerging trends in computing and is a real tension between three-year..., studying computer science and statistics on those Udemy classes I ’ ve answered this type question. But has expanded to incorporate anything to do with computing is an upper level 4000/7000 level grad class startup... Strong origin as a predominantly mathematical discipline but computer science vs statistics reddit expanded to incorporate anything do! At your comment, I just first want to address the fact you would to! Competitions ( AMC, MAO, etc both pretty useless for a reason, and university programs tend... For the computer science involves more independent work creating computer programs and applications, using and. A Stat guy without programming ability are both pretty useless for a data science programs are just cash-grabs and inadequate. Without statistics knowledge and a half ago, I joined the 2016/17 cohort of the best 's. Be traditionalist and avoid machine learning hat, computer science vs statistics reddit joined the 2016/17 cohort of the few majors make! Lederle graduate research Tower a, Amherst, MA 01003 ( 413 ) 545-2291. gpd @ chem.umass.edu this... Provide reliable ways to start getting market-ready skills rest of the rapidly emerging trends in and.
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