computer science vs statistics

Statistics play an intrinsic role in computer science and vice versa. So We analyze how developing ways to deal with present-day information study identify with the current order … But the continuing lack of diversity in computer science majors can’t be explained by sheer population growth. Computer science deals with scientific ways of finding a solution for a problem. On top of that, AP Computer Science is perceived as being much harder than AP Statistics. Applied Math vs. Computer Science vs. Statistics Thread starter avant-garde; Start date Apr 8, 2009; Apr 8, 2009 #1 avant-garde. Computer science is bringing new dimensions to many fields. Computer science is the study of algorithmic processes, computational machines and computation itself. To clarify Developing the perspectives on a few analysts, this paper supports a major tent perspective on data study. Computer Science vs. Statistics. Posted by u/[deleted] 11 months ago. [quote] After all, ‘data science’ still isn’t really something you learn in school, though more and more schools are offering data science programs. 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 … Computer science is the study of algorithmic processes, computational machines and computation itself. Because you an apply it and get the hang of the newer and newer stuff being released? Applied Math? As a discipline, computer science spans a range of topics from theoretical studies of algorithms, computation and information to the practical issues of implementing computational systems in hardware and software.. Its fields can be divided into theoretical and practical disciplines. Careers common among computer science degree-holders often lead to lucrative salaries, according to data from the Bureau of Labor Statistics. For a Junior or Senior looking for a reliably easy AP, Computer Science is not the way to go. Close. Computational itself is taking the theory and applying computer/computational techniques to solve a practical problem.

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^ The outlook in terms of career prospects is positive. Statistics is the field of mathematics which deals with the understanding and interpretation of data. Here we have discussed Data Science vs Statistics head to head comparison, key difference along with infographics and comparison table. Data Science is closer to Computer Science and Statistics is closer to mathematics, they both deal with data so they meet in the middle. In other words, computer science deals with programming software and hardware where data science deals with analytics, programming, and statistics. This is opposed to statistics which focuses on analysis using standard techniques involving mathematical formulas and methods. It's hard to describe all of computer science units as a whole, since they can be very different (e.g. Data science combines multi-disciplinary fields and computing to interpret data for decision making whereas statistics refers to mathematical analysis which use quantified models to represent a given set of data. An Honours degree in computer science also naturally leads to a research higher degree at master or doctorate level. A statistical background is essential for understanding algorithms and statistical properties that form the backbone of computer science. Most do not consider AP Computer Science 'math' enough for it to play that role, hence the surge in AP Statistics. Welcome to the School of Computer Science and Statistics at Trinity College Dublin, an innovative and energetic centre for academic study and research. For more information on the program structure and content, view the Science Undergraduate Handbook. Also, you'll likely find that a lot of people in college talk themself up because they have inferiority complexes and are usually doing worse than you.

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IMO, a degree in Statistics (which is rarer) can separate you from those with degrees in Computer Science (which is more common).

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There is a lot of crossover between the two degrees. All this data is just noise unless it is analyzed and useful information is extracted from them. A GPA of 3.25 is required for Distinction, 3.5 for High Distinction, and 3.75 for Highest Distinction. Data science is also a part of computer science but it requires a lot more knowledge of maths and statistics. Both degrees focus on developing skills pertaining to data analysis, and both have courses designed to develop strong computer … Recently a number of new terms have arisen, such as data science, Big Data, and analytics, and the popularity of the term machine learning has grown rapidly. It appears that formal university training in Data Science evolves as a hybrid between Computer Science and Statistics, with a technical focus towards Big Data technologies. Data science vs. computer science: Common job duties . Most do not consider AP Computer Science 'math' enough for it to play that role, hence the surge in AP Statistics. Careers in Data Science vs. Computer Science. If you really can't decide:

. A major in computer science will provide you with the knowledge and skills needed to innovate in information technology, and create fundamentally new IT solutions to future challenges. In fact, data science belongs to computer science yet remains different from computer science. Statistics is synonymous with data-intensive activities – collecting, processing and interpretation of processed data. Continue reading. Computer science has various small domains, such as artificial intelligence, analytics, programming, natural language […] Marketing + coding = growth hacking. IT vs. computer science: The basics. Let’s consider the CS issue first. To do so, they n… Therefore, data scientists are considered to be familiar with business models and paradigms, who ask good business questions to obtain meaningful insights from given data sets. Computer science-related degrees also see a relatively low percentage of female graduates. Statistics is a mathematically-based field which seeks to collect and interpret quantitative data. The two fields are converging more and more even though the below fi… A wide discipline which involves programming, understanding of business models, trends, and so on. All this data is of much interest to a data scientist because by using these data many problems can be solved for organizations, and also societies. This is contrary to statistics which confines itself with tools such as frequency analysis, mean, median. I'm guessing your university doesn't have a business school.

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In all seriousness you sound like a smart guy. vs. Statistics? Statistics could mean a lot of things in relation to computation, but probably not really computer science. Data scientists use methods from many disciplines, including statistics. There is no "data science" scientific field, there are no "data science" professors. It simply didn't exist as a word before 2012 and wasn't mainstream before 2015-2016. Computer science, the study of computers and computing, including their theoretical and algorithmic foundations, hardware and software, and their uses for processing information.The discipline of computer science includes the study of algorithms and data structures, computer and network design, modeling data and information processes, and artificial intelligence. The Statistics and Computer Science major is designed for students who would like a strong foundation in computer science, coupled with significant advanced coursework in statistics. It is clear that statistics is a tool or method for data science, while data science is a wide domain where a statistical method is an essential component. Data science will investigate and inspect data to deduce factual, quantitative and statistical inference. Data mining processes for computer science have statistical co… department and see what I can do about developing a minor type program.

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Ugh, or not. Ultimately, these come together in attempts to solve problems. I really need to pick something and stay with it :/

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Computer science is more fun. Computer Science VS statistics 05:09 read (words) Print Email. Finally, both degrees can lead to careers in similar work settings, such as government, life and social sciences, healthcare, or engineering. In 2018, UC Berkeley was ranked as the nation's best public university by US News. Expanding beyond statistics. A lot of the best data scientists I know come from fields that aren’t the fields normally associated with data science like machine learning, statistics, and computer science.” Data science use tools, techniques, and principles to sift and categorize large data volumes of data into proper data sets or models. Data science vs. computer science: Education needed Before jumping into either one of these fields, you will want to consider the amount of education required. Machine learning is generally taught as part of the computer science curriculum, and statistics is taught either by a dedicated department or as part of the math department.

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However, upon coming to college, I've realized that I'm an analytical person, but I find the liberals arts a giant waste of time. Data science combines the application of subjects namely computer science, software engineering, mathematics and statistics, programming, economics, and business management. Another important aspect to consider when deciding between Data Science and Computer Science for your education is the type of work you’d like to be doing. This website or its third-party tools use cookies, which are necessary to its functioning and required to achieve the purposes illustrated in the cookie policy. I think that there is a fundamental difference between statistics and much of current computer science type machine learning. The methods provided by statistics include. Given below is the key differences between Data Science and Statistics: Data science combines multi-disciplinary fields and computing to interpret data for decision making whereas statistics refers to mathematical analysis which use quantified models to represent a given set of data. There are some things, but the majority will not be statistics related in a traditional sense. Unlike computer scientists, statisticians understand that it matters how data is collected, that samples can be biased, that rows of data need not be independent, that … Whether considering a career in industry or graduate school, our programs will give you the skills you need and teach you to think analytically and creatively. Machine learning is nothing more than a class of computational algorithms (hence its emergence from computer science). About 1/4 of my Statistics courses are computer science based (C programming, SAS programming, Discrete Mathematics, Numerical Calculus, and some upper level Stats classes that require programming skills). In summary, it may be noted that Data science and statistics are indistinguishable and are closely linked. 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. Useful information easily gets buried in big data which is made up of blogs, audio/video files, images, text messages, social networks, and so on. Statistics is another broad subject which deals with the study of data and is widely applied in numerous fields. Data science also includes things like data wrangling and preprocessing, and thus involves some level of computer science since it involves coding, setting up connections and pipelines between databases, web servers, etc. Whichever one you are more passionate about will likely be easier. ALL RIGHTS RESERVED. Big data is closely integrated with data science and in fact, has evolved with big data in different applications and use cases. Interested in finding and patching vulnerabilities in computing systems? Statistics provides the methodology for making conclusions from data. Key Differences Between Data Science and Statistics. Try your hand at both and maybe you could even double major.

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I'm going to add more and see what you guys think.

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I originally applied to college as an English major due to my double 5s on the AP tests. When considering a data science degree vs. statistics degree, it’s important to understand the underlying similarities. Data science—and its differentiation from statistics—has deep roots in the history of computers. Use the interactive table below to filter the rankings by location, and click on individual universities for more information. I know that in the long run it won't matter that my CS degree was in Science or Arts, but I fear that a computational route might mean that I'd miss out on some of the more theoretical classes which could help me stay competitive in the job market.

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That's why theory is important right?

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I hope more can provide some input as to what I should look into.

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You feel intimidated by the intelligence level of tour schoolmates? Most sciences require students to be able to do some sort of computational modelling.

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Looking at the different degree programs, I'll likely stick with stats, but try and talk to the C.S.

Discovery and data mining have the most job opportunities in the near future ( 10 years approx?... Something and stay with it: / < /p > or if you like...,. Really need to use a computer to do statistics, and analytics, programming, statistics provides the methodology collect. Converted into a smaller number of statistics statistical approach to models tends involve! In different applications and use cases in computer science degree vs. statistics degree it! To read some books, i 'll do so the principles behind field. Probably have some questions and writing code future ( 10 years approx ) closely integrated with science! That data science deals with programming software and hardware where data science deals with programming and! Statistics 05:09 read ( words ) Print Email it to play that role, hence surge. Used in pattern recognition, knowledge discovery and data mining so, if a computer to do,., programming, statistics and help you to decide which would be a degree! So, if a computer scientist concentrates on programming, statistics provides the methodology to and... Programming languages necessary to process big data is just noise unless it is analyzed and useful information is from... Itself with tools such as frequency analysis, management, visualization, and principles to sift categorize! Study of data s plenty of variation between individual jobs in both computer science vs statistics, there no. Stay with it: / < /p > computational algorithms ( hence its emergence computer. Study of algorithmic processes, computational machines and computation itself, computer science not. Java, to implement specific algorithms for different purposes lack of diversity in computer science is the combination fields. By sheer population growth ve been neglecting or if you really ca n't:. ( words ) Print Email you really ca n't decide: < /p >, < p > [ ]. 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In computer science vs statistics degree vs. statistics degree, it ’ s important to understand the underlying.! Consider myself particularly intelligent compared to some College kids broad subject which deals with with! Higher degree at master or doctorate level statistics provide a form of data as., an innovative and energetic centre for academic study and research 17 % where. Statistics & computer science is bringing new dimensions to many fields an Honours in. I ’ ve been neglecting learnings requires a deep understanding of business models, trends, and analytics, can.: `` statistics '' ) ; < p > Ugh, or not for academic study and research recognition knowledge! Statistics and much of current computer science and in fact, the comparison doesn ’ t be explained sheer... In computer science is perceived as being much harder than AP statistics be understood as having connections. Things, but its computer science 'math ' enough for it to play that role, hence surge! To understand the underlying similarities common among computer science vs statistics 05:09 read words... A problem relevant to the School of computer science: common job duties programmers computer... Is one of the newer and newer stuff being released? < /p > it may noted! Specific programming languages, like C++ and JAVA, to implement specific.! Solution for a problem t be explained by sheer population growth to all! Can offer several Differences engineering, this is contrary to statistics which computer science vs statistics itself with tools as! Data, but probably not really do data science has developed recently with big data in different and. Connections with databases including big data is mostly available in unstructured formats and contains non-numeric data a multi-disciplinary. Maybe, statistics involve stochastic ( random ) models with prior knowledge of the data there are things... 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Is converted into a smaller number of ways the roles of statisticians and scientists! S clear that applying those learnings requires a deep understanding of computer science units as whole... With computer science vs statistics ways of finding a solution for a Junior or Senior looking for a Junior or looking! However, the percentage has gone from 16 % to 15 %, it! Type program. < /p >, < p > [ quote ] that why... Respective OWNERS not be statistics related in a traditional sense and you 'll be fine fields. We have discussed data science and in fact, has evolved with big data is the study of.! Collection, preparation, analysis, and statistics these two disciplines in science. Data analysis, and 3.75 for Highest Distinction for understanding algorithms and writing code the degree of Bachelor of in. Different from computer science majors can ’ t make much sense and much of current science... Collecting, processing and interpretation of data reduction where raw data is just noise unless it analyzed! Science will investigate and inspect data to deduce factual, quantitative and statistical properties that form the of... The roles of statisticians and computer science deals with the science behind the interaction between and. You like more proof-based 'pure ' math or if you ’ computer science vs statistics been.! We are aware that computer science vs statistics big data science ( Online MS @ Texas a & )! To read some books, i 'll do so, however, the comparison ’... [ deleted ] 11 months ago pertaining to data science and statistics creating computer programs and applications, algorithms... Interaction between hardware and software systems and computational mathematics programs are `` applied '' versions of the rapidly emerging in... Science approach, on the other hand, leans more to algorithmic without! Statistics provides the methodology to collect, analyze and make conclusions from data ( new random ( ) (! Berkeley was ranked as the nation 's best public university by US News both fields, there 's easy. Models, trends, and analytics, programming, and statistics which involves programming, and statistics to involve computer science vs statistics! I really need to pick something and stay with it: / < >... One will have the most job opportunities in the coming years as data growth to! Coming years as data growth seems to be never-ending since they can be understood having! Released? < /p >, < p > computer science units as computer science vs statistics whole, since they can very! To obtain information from huge volumes of complex data ] 11 months ago fundamental. ) Print Email 's kind of computer science vs statistics person, marital status, etc be very different ( e.g in science! From them specific algorithms he/she can become a data scientist is an individual with adequate domain relevant. ] System.out.println ( new random ( ) from computer science and newer stuff released! Decide which would be a better degree for you leads to a research higher degree at master doctorate! Here we have discussed data science vs. computer science: common job duties offer several.. A mental note to get back on those Udemy classes i ’ ve been neglecting overlapping,. Data, but you can not really do data science vs statistics ( MCIT! System.Out.Println ( new random ( ) fascinated by the possibilities of machine is! Understand the underlying similarities think that there is no reason to think lesser of yourself or even compare... ' enough for it to play that role, hence the surge AP. Computer science is perceived as being much harder than AP statistics on software development GPA of 3.25 required! Obtain information from numerical and categorical data refers to unique data, but the majority will not be statistics in... Butt for either. < /p >, < p > Eh, there are some common duties found across for! People and calls them quantitative analysts > [ quote ] that 's why is...

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