Regarding statistics, you learn a lot of the background for some of the major algorithms, though. I haven't looked at any DS Bachelors though. for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics & Computer Science. By using our Services or clicking I agree, you agree to our use of cookies. Engineering Majors. 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. Therefore, I joined the 2016/17 cohort of the Data Science MSc at City, University of London’s Computer Science department. 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). And maybe, statistics + coding = data science. 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. There is no "data science" scientific field, there are no "data science" professors. Which program is right for me? We're just at a unique point and at the beginning of the data revolution. Use the top Master's of Computer Science program rankings to find the right master's program for you. A professional Data Scientist’s perspective on the difference between these two prominent fields and roles. Robotics, Vision, Signal processing, etc. 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. Many options exist for studying computer science. Understanding the components of a time series. 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. Marketing + coding = growth hacking. That alone is basically the prerequisites to take serious (ie not big picture/toy stuff "for everyone!" Data science involves the application of machine learning. Take ML and stats electives. Subject overview. 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. 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. If I could go back I would do applied economics due to much more freedom than my program in applied math. IMO were in a 'data/information revolution' that just started and I don't see it stopping in the next 100 years. Computer science and software engineering may share some overlapping commonalities, however, the principles behind each field of study can offer several differences. MRW this has been asked 1000 times and this sub still doesn't have a good answer. 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. Computer Science is the study of computers and computer concepts: their systems, design, development and use. 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. WSJ reports unemployment for Statistics and Decision Science majors at 6%, which is higher than some of the other professions. Michael Grogan. In 2018, UC Berkeley was ranked as the nation's best public university by US News. in Vancouver, Canada). Add information networks, operating systems and computer structure and that's the traditional BSc in computer science you can find anywhere in the world. 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. 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. Introductory computer science … Just one clarification. And imo, operations research is pretty much applied math, with a focus on optimization. In high school, I competed in math competitions (AMC, MAO, etc) and grew fond of the subject. I would say go with CS. 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. How much of machine learning is computer science vs. statistics? 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. Here’s the Difference. You could literally do pure statistics research from a computer science department and probably have better funding, equipment, etc. Data science combines the application of subjects namely computer science, software engineering, mathematics and statistics, programming, economics, and business management. 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). November 2010 edited November 2010 in Engineering Majors. Computer science degree recipients not only work for technology companies, but also frequently enter the finance sector and the retail industry, experts say. 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. Press question mark to learn the rest of the keyboard shortcuts, http://catalogue.uci.edu/donaldbrenschoolofinformationandcomputersciences/departmentofstatistics/#majortext. Applied Math? 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., Computer Science and Philosophy can be studied for three years (BA) or four years (Master of Computer Science and Philosophy). New comments cannot be posted and votes cannot be cast, More posts from the datascience community. I have looked around the internet and on reddit regarding a career in statistics. If you’re up to the challenge, you’ll make an average annual salary of $93,350. I would major in stats + minor in CS would be my opinion. Computer scientists build fast, reliable, scalable and secure software systems to organize and analyze information. It simply didn't exist as a word before 2012 and wasn't mainstream before 2015-2016. Double majoring in CS and Stats is good, but if you can only do one, I would do CS. A place for data science practitioners and professionals to discuss and debate data science career questions. Data science vs. computer science: Education needed. 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. People might not know know what you mean by a DS bachelors in 10 years but people will always recognize statistics And CS. 104 Lederle Graduate Research Tower A, Amherst, MA 01003 (413) 545-2291. [email protected] I finished a master's in statistics last year that had some CS focused courses. 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. They were at a huge disadvantage and could never really progress beyond the basics of high level languages. Computer Science vs. Statistics. It's just like how there's startup businesses that try to get started at the wrong time or before the technology is there. Programming != computer science. Data science isn’t as clear cut; it’s an interdisciplinary field involving computer science and statistics. Press J to jump to the feed. There is also a risk that your Statistics teachers will be traditionalist and avoid machine learning and cross validation topics. Press J to jump to the feed. It's really going to depends on the school and curriculum. 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 … 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. Go through the different degree programs and curriculum and find the ones that are align with the route you want to go. Statistical analysis is nothing new, but the scale of the data sets and computing power needed for analysis certainly are. Matt Przybyla. Predict The Weather. 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. m rare and are mostly finance-related. Why operations research in particular? 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. Predict The Weather. originally appeared on Quora: the knowledge sharing network where compelling … Find the best Master's of Computer Science programs at TFE Times. Speaking as a math major, I think I can help you out here. Data Science' was actually used multiple times before harvards business review that turned it into an overused buzzword. We identified some common job titles in tech that accept candidates with a Computer Science degree. Sometimes you need to really know WHY something happens. Press question mark to learn the rest of the keyboard shortcuts. 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 best Data Science courses on the internet, ranked by your reviews Photo by Quinlan Pfiffer. A year and a half ago, I dropped out of one of the best computer science programs in Canada. 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 […] 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? Computer science is a stimulating, broad field of study that encompasses everything from theory to application. 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.