CS. 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., 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. Take ML and stats electives. And they typically only … Why not applied math or statistics? A place for data science practitioners and professionals to discuss and debate data science career questions. As a result of their demand, we get asked quite often to highlight the highest paying computer science jobs for our readers. 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. I think you should pursue a trade like plumbing. CS majors learn way way more than a "programming" toolkit: algorithmic thinking, computational analysis, data structures, etc. If its the former, CS, & possibly pray there's a me on your team. 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). Introductory computer science … 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 said, graduate degrees (especially PhDs) in statistics are some of the highest demand degrees out there right now. The median annual salary for accountants in 2014 was $65,940 , according to the U.S. Bureau of Labor Statistics (BLS). 9 Great Careers You Can Attain with a Computer Science Education. Computer science involves more independent work creating computer programs and applications, using algorithms and writing code. Computer technology, it seems, is everywhere in today’s world. Here is our Methodology. Also, if you look at data science job descriptions, a lot of them want software engineering skills. The student's personal Program Advisor acts as his/her support system throughout their studies. 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)? It simply didn't exist as a word before 2012 and wasn't mainstream before 2015-2016. Data science majors are new and untested. Computer science degree recipients not only work for technology companies, but also frequently enter the finance sector and the retail industry, experts say. 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. There is a lot of variation in courses. College Majors. 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. Computer Science and Philosophy can be studied for three years (BA) or four years (Master of Computer Science and Philosophy). Press J to jump to the feed. I would major in stats + minor in CS would be my opinion. 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. These forms vary, depending on when you entered the major. Computer Science jobs are undoubtedly the most sought after positions right now. I have a degree in applied mathematics. 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. Computer science majors must study calculus to earn their degrees, and other relevant math courses include statistics and linear algebra. Intervenient 73 replies 18 threads Junior Member. There is also a risk that your Statistics teachers will be traditionalist and avoid machine learning and cross validation topics. 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. I … “And it kinda makes sense,” Brad continues. Prerequisite flowchart. Jan 14 . Programming != computer science. IT vs. computer science: The basics. Our computer science degree online will also provide the key tools to continue studies at a graduate level. 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. Regarding statistics, you learn a lot of the background for some of the major algorithms, though. Why operations research in particular? This job typically requires a bachelor’s degree in computer science along with strong programming skills in a variety of computer languages. The Best Colleges for Computer Science ranking is based on key statistics and student reviews using data from the U.S. Department of Education. By using our Services or clicking I agree, you agree to our use of cookies. 104 Lederle Graduate Research Tower A, Amherst, MA 01003 (413) 545-2291. gpd@chem.umass.edu. Data science involves the application of machine learning. Sometimes you need to really know WHY something happens. 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. The ranking compares the top computer science schools in the U.S. Read more on how this ranking was calculated. 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. That alone is basically the prerequisites to take serious (ie not big picture/toy stuff "for everyone!" It also involves the application of database knowledge, hadoop etc. Dustin has 20 years of experienced as a cross discipline engineer. It'll take you down some long narrow paths which are essentially useless and inapplicable. I started creating my own data science master’s program using online resources. Let me offer you some advice. A place for data science practitioners and professionals to discuss and debate data science career questions. A GPA of 3.25 is required for Distinction, 3.5 for High Distinction, and 3.75 for Highest Distinction. Bachelor's Degree, Computer Science (CS) - Salary - Get a free salary comparison based on job title, skills, experience and education. 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. Both data science and computer science occupations require postsecondary education, but let’s take a … background: bachelor's in Math & Comptuer Information Systems from no name state school. Statistics and Computing is a bi-monthly refereed journal that publishes papers covering the interface between the statistical and computing sciences. 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 vs. Statistics. There is a lot to be said about really understanding the difference between wearing a inferential statistics hat vs. a machine learning hat. 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. In high school, I competed in math competitions (AMC, MAO, etc) and grew fond of the subject. 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 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 have looked around the internet and on reddit regarding a career in statistics. 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: … There are very good BS in DS programs now. Still sticking with that answer. It's really going to depends on the school and curriculum. No Data Scientist ever has said what you just did. m rare and are mostly finance-related. They were at a huge disadvantage and could never really progress beyond the basics of high level languages. ** Take a look and see who is working with a degree in the field. There is no "data science" scientific field, there are no "data science" professors. Studying Computer Science (CS) at UC Berkeley. IMO were in a 'data/information revolution' that just started and I don't see it stopping in the next 100 years. I think the best data scientists wear both and know when to use what. We're just at a unique point and at the beginning of the data revolution. Computer science is bringing new dimensions to many fields. If your dream job is soccer analytics, it would fit into statistics or applied math. There’s no single path forged for students of Computer Science; it’s a degree that opens many doors to a variety of positions. It’s no surprise they offer the highest pay among every other engineering field. 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. Computer Science has a strong origin as a predominantly mathematical discipline but has expanded to incorporate anything to do with computing. New comments cannot be posted and votes cannot be cast, More posts from the datascience community. Many options exist for studying computer science. 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. Well minor in on and do a major in the other. 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.

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