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