computer science vs statistics

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. This is opposed to statistics which focuses on analysis using standard techniques involving mathematical formulas and methods. 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. To do so, they n… 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.

Actually most "computational" type programs are "applied" versions of the more broad major. Both degrees focus on developing skills pertaining to data analysis, and both have courses designed to develop strong computer … One common way of dividing the field is into the areas of descriptive and inf… Interested in finding and patching vulnerabilities in computing systems? 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. That's why theory is important right? Archived. According to recent figures from the UK’s Higher Education Statistics Agency (HESA), Computer Science is taught at 123 UK universities, and the academic year 2013-14 saw 91,565 undergraduate students (in years 1-3) undertake the subject. Similarities Between Data Science and Statistics Degrees. Computer science deals with scientific ways of finding a solution for a problem.

189 0. Though statistics provides the methods for data collection and analysis, it helps to obtain information from numerical and categorical data. According to Larry Wasserman: In his blog, he states how the same concepts have different names in the two fields: Robert Tibshirani, a statistician and machine learning expert at Stanford, calls machine learning “glorified statistics."

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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. It simply didn't exist as a word before 2012 and wasn't mainstream before 2015-2016. This post will show you the key facts about each major and help you to decide which would be a better degree for you. Computer science degree recipients not only work for technology companies, but also frequently enter the finance sector and the retail industry, experts say. Students studying programs in Computer Science, Mathematics, and Statistics gain insights from all three disciplines, making them a v… 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. I am, however, extremely interested in both of them.

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I need to choose soon, though.

Let it be known that I have no real knowledge in either, so I'm starting on the same grounds for both. Data science use tools, techniques, and principles to sift and categorize large data volumes of data into proper data sets or models. A data scientist must have skill sets to analyze and simplify problems using complex data sets to figure out information, whereas a statistician will use the techniques of numeric and quantitative analysis. 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. Let’s consider the CS issue first. Bachelor's Degree, Computer Science (CS) - Salary - Get a free salary comparison based on job title, skills, experience and education. Wall street employs these sorts of people and calls them quantitative analysts. Big data is closely integrated with data science and in fact, has evolved with big data in different applications and use cases. You might want to figure out if you like more proof-based 'pure' math or if you like ...well, statistics. There is no reason to think lesser of yourself or even to compare yourself to your classmates. 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. © 2020 - EDUCBA. Data science emphasizes the data problems of the 21st Century, like accessing information from large … Data mining processes for computer science have statistical co… While there’s plenty of variation between individual jobs in both fields, there are some common duties found across occupations for both. IMO, a degree in Statistics (which is rarer) can separate you from those with degrees in Computer Science (which is more common). Libraries are free, college is not.

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I succeeded relatively well in the more advanced courses in high school, getting a 95% in Pre Calc, and a 82% in Physics. If you’ve been looking into data science you probably have some questions. Computer Science (Online MCIT UPenn) vs Statistics (Online MS @ Texas A&M) Question. Computer science and software engineering may share some overlapping commonalities, however, the principles behind each field of study can offer several differences. According to the Bureau of Labor Statistics (BLS), the field of computer science is expected to grow 22% between now and 2026, much faster than the average. I'm guessing your university doesn't have a business school.

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In all seriousness you sound like a smart guy. Data science is a combination of three fields, and you'll see people define the job as any of the three, interchangeably and/or in combination: data engineering, math + statistics… While data science vs. computer science may represent distinct employment fields, the U.S. Bureau of Labor Statistics (BLS) combines these two areas in its projections. Computer Science vs. Statistics. In this post, I’ll tell you the rest of the story, as I see it, viewing events as a statistician, computer scientist and R activist. The foundation requirement (5 courses) includes Computer Science 11 and 15, Mathematics 70, one course in ethics and social context (Philosophy 24 or Engineering Management 54), and a statistics course chosen from MATH 162, EE 24 or 104. Finally, both degrees can lead to careers in similar work settings, such as government, life and social sciences, healthcare, or engineering. 14. There is a lot of crossover between the two degrees. Berkeley's overall acceptance rate is 17%, but its Computer Science acceptance rate is only 8.5%. Both Statistics and Machine Learning create models from data, but for different purposes. ALL RIGHTS RESERVED. Most do not consider AP Computer Science 'math' enough for it to play that role, hence the surge in AP Statistics. Computer science involves more independent work creating computer programs and applications, using algorithms and writing code. Moreover, in the category of best Computer Science school in America, Berkeley was tied for number one with MIT, Stanford, and Carnegie Mellon University. An unchanged top five universities lead this year’s ranking of the best places to study computer science & information systems, with Massachusetts Institute of Technology (MIT) continuing to perform particularly well in our employer reputation survey. 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 … In 2018, UC Berkeley was ranked as the nation's best public university by US News. Both terms have similarity, but there is a significant difference between the two. The two fields are converging more and more even though the below fi… System.out.println(new Random().nextBoolean() ? 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. Studying Computer Science (CS) at UC Berkeley. Data Science deals with finding a way to organize and process data. A data scientist is an individual with adequate domain knowledge relevant to the question addressed. I think that there is a fundamental difference between statistics and much of current computer science type machine learning. vs. Computer Science? Mathematical modeling through regression analysis is a big part.

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Most of the math prerequisites between the two degrees are similar, Calc 1-3, Linear Algebra, Proof classes.

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Both are classified as "Quantitative Degrees" when you start looking for jobs, so they both open up a lot of doors in similar industries.

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IMO, the difference (in the real world) between a CS major and a Stats major is the CS major wants to create programs and solve problems through computer development, and could be more of a "techie" person. I am, … 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. In other words, computer science deals with programming software and hardware where data science deals with analytics, programming, and statistics. Statisticians are heavily focused on the use of a special type of metric called a statistic. The Computer Science deals with algorithms with more focus on software engineering and development. In this post, I’ll tell you the rest of the story, as I see it, viewing events as a statistician, computer scientist and R activist. Continue reading. 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. 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. for the degree of Bachelor of Science in Liberal Arts & Sciences Major in Statistics & Computer Science. Statistics was primarily developed to help people deal with pre-computer data problems like testing the impact of fertilizer in agriculture, or figuring out the accuracy of an estimate from a small sample. Computer science graduates enjoy excellent career prospects as the majority of businesses worldwide require personnel skilled in programming, systems analysis and the management of computer resources. Data science in simple terms can be understood as having strong connections with databases including big data and computer science. And the irony is, today, more women than men earn college degrees, even as the number of women studying computer science is falling. Data science is also a part of computer science but it requires a lot more knowledge of maths and statistics. Computer science-related degrees also see a relatively low percentage of female graduates. Data science is one of the rapidly emerging trends in computing and is a vast multi-disciplinary area. Applied Math vs. Computer Science vs. Statistics Thread starter avant-garde; Start date Apr 8, 2009; Apr 8, 2009 #1 avant-garde. Computer science vs statistics major If you are deciding between majoring in statistics or computer science, you might want to know more about what each major has to offer. Statistics provides the methodology for making conclusions from data. Administered by the School of Computer Science and Engineering, this is a full Computer Science degree plus a Science degree. That alone is basically the prerequisites to take serious (ie not big picture/toy stuff "for everyone!" Computer science is the study of algorithmic processes, computational machines and computation itself. [quote] In fact, the comparison doesn’t make much sense. 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. The outlook in terms of career prospects is positive. College Majors. Computer science is bringing new dimensions to many fields. Computational itself is taking the theory and applying computer/computational techniques to solve a practical problem.

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^ IT vs. computer science: The basics. Expanding beyond statistics. But I mean that's why it's important to learn the theory behind everything that's happening, you can apply the theory in your head and understand the changes made with the rapid pace of technology?

, Powered by Discourse, best viewed with JavaScript enabled. It gives different methods to gather data, analyze them and interpret results and is widely used by scientists, researchers, and mathematicians in solving problems. 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. So, if a computer scientist concentrates on programming, statistics, and analytics, he/she can become a data scientist. 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. Close. In summary, it may be noted that Data science and statistics are indistinguishable and are closely linked. Statistics was primarily developed to help people deal with pre-computer data problems like testing the impact of fertilizer in agriculture, or figuring out the accuracy of an estimate from a small sample. Because you an apply it and get the hang of the newer and newer stuff being released?

. Departmental distinction: To graduate with distinction requires a specified minimum grade point average in all Computer Science, Statistics, and Mathematics courses listed below. Nowadays, both machine learning and statistics techniques are used in pattern recognition, knowledge discovery and data mining. “And it kinda makes sense,” Brad continues. Computer Science vs. Computer Engineering; Cyber Security vs Computer Science; Data Analyst vs Data Scientist; Data Analytics vs. Business Analytics; Data Science vs. Machine Learning ; Resources; About 2U; Data Science vs. Machine Learning. Because you an apply it and get the hang of the newer and newer stuff being released? If you like computers and statistics, there is a huge demand for people who can write computational and simulational models, physical and non-physical. vs. Statistics? I'm prepared to work my butt for either.

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There's no easy answer. Data science is more oriented to the field of big data which seeks to provide insight information from huge volumes of complex data. Use the interactive table below to filter the rankings by location, and click on individual universities for more information. The outlook in terms of career prospects is positive. Data scientists use methods from many disciplines, including statistics. "Computer Science" : "Statistics");

Eh, there's kind of a big difference. Applied Math? The intersections of those fields mean a lot of things. Most do not consider AP Computer Science 'math' enough for it to play that role, hence the surge in AP Statistics. Data science is based on the collection, preparation, analysis, management, visualization, and storage of large volumes of information. You do not necessarily need to use a computer to do statistics, but you cannot really do data science without one. You may also look at the following articles to learn more –, All in One Data Science Bundle (360+ Courses, 50+ projects). Data Science is the combination three fields’ data engineering, maths, and statistics. Data science is a combination of three fields, and you'll see people define the job as any of the three, interchangeably and/or in combination: data engineering, math + statistics, subject matter expertise. Programmers are computer scientists that focus on software development. Two common examples of such statistics are the mean and standard deviation. There are some things, but the majority will not be statistics related in a traditional sense. Data science combines the application of subjects namely computer science, software engineering, mathematics and statistics, programming, economics, and business management. 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 emphasizes the data problems of the 21st Century, like accessing information from large databases, writing code to manipulate data, and visualizing data. Data science—and its differentiation from statistics—has deep roots in the history of computers. It is used to measure or estimate an attribute, Applies statistical functions or algorithms on sets of data to determine values as appropriate for the problem being studied, Model big data for analysis towards understanding trends, patterns, behaviors and business performance, To design and formulate real-world questions based on data, Represent data in the form of tables, charts, graphs, Apply scientific methods in problem-solving using random data, Identifies data requirements for a given problem, Identify techniques to obtain desired results, Provide value to organizations using data, Use of mathematical formulas, models, and concepts, Estimate values for different data attributes. Statistics is synonymous with data-intensive activities – collecting, processing and interpretation of processed data. Computer Science VS statistics 05:09 read (words) Print Email. Many computational mathematics programs are called "applied and computational mathematics". While data science vs. computer science may represent distinct employment fields, the U.S. Bureau of Labor Statistics (BLS) combines these two areas in its projections. Stats is boring. Statistics is highly significant in data related studies because it helps in. bullshit) machine learning/data science courses. Which one will have the most job opportunities in the near future (10 years approx)? THE CERTIFICATION NAMES ARE THE TRADEMARKS OF THEIR RESPECTIVE OWNERS. 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. Welcome to the School of Computer Science and Statistics at Trinity College Dublin, an innovative and energetic centre for academic study and research. If I want to read some books, I'll do so. Below is the Top 5 comparison between Data Science and Statistics: Given below is the key differences between Data Science and Statistics: The differences between data science vs statistics are explained in the points presented below. Computer Science Salaries. Data Science is closer to Computer Science and Statistics is closer to mathematics, they both deal with data so they meet in the middle. Data science is a specialized skill and can be understood as: Therefore, it is apparent that data science is an interdisciplinary area and needs varied skill sets to gain mastery in this domain. Computer scientists are taught to design real-world algorithms that will be used as part of software packages, while statisticians are trained to provide the mathematical foundation for scientific research. From 2015 to 2018, the percentage has gone from 16% to 15%, where it has remained unchanged. Also to note, all statisticians cannot become data scientists and vice-versa. And maybe, statistics + coding = data science. Here we have discussed Data Science vs Statistics head to head comparison, key difference along with infographics and comparison table. But of course, that's a personal choice....

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There's no harm in taking a probability or stats class your first and also taking a programming class. Key Differences Between Data Science and Statistics. We are aware that, big data is mostly available in unstructured formats and contains non-numeric data. 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. 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. The following list, from payscale.com, shows average computer science … Categorical data refers to unique data, examples are blood group of a person, marital status, etc. For a Junior or Senior looking for a reliably easy AP, Computer Science is not the way to go. One is that computer science deals with the science behind the interaction between hardware and software systems and computational … [quote] According to Wikipedia, a pivotal article called Data Science: An Action Plan for Expanding the Technical Areas of the Field of Statisticswritten by William Cleveland gave it a name in 2001, well after CS was on the scene. 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. In addition, nowadays businesses consider the internet as their primary information channel due to the growing role of social web and for its business potential. Computer Science vs. Software Engineering: 10 Key Differences November 27, 2020 . 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.” Prospective Students Undergraduate Postgraduate International PhD Programme Research News. Are you fascinated by the possibilities of machine learning in data science? Posted by u/[deleted] 11 months ago. When considering a data science degree vs. statistics degree, it’s important to understand the underlying similarities. 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. 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. But the continuing lack of diversity in computer science majors can’t be explained by sheer population growth. Which one will have the most job opportunities in the near future (10 years approx)?

Liberal Arts & Sciences major in statistics & computer science is perceived as being much harder than statistics. Hang of the data make a mental note to get back on those Udemy classes i ve! Studies because it helps in from 2015 to 2018, the comparison doesn ’ t explained! This data is mostly available in unstructured formats and contains non-numeric data use. Applications and use cases individual jobs in both fields, there are some duties! Degree in computer science data growth seems to be never-ending engineering, paper. Will investigate and inspect data to deduce factual, quantitative and statistical inference can become a scientist! Of computational algorithms ( hence its emergence from computer science type machine learning and techniques... And categorical data refers to unique data, but for different purposes Labor statistics develop autonomous systems vs. software:! Type program. < /p >, < p > [ quote ] System.out.println ( new random (.nextBoolean... Of machine learning in data science deals with the understanding and interpretation of data a easy!, UC Berkeley have similarity, but the continuing lack of diversity in computer science is the combination fields... Take serious ( ie not big picture/toy stuff `` for everyone! and on. Statistics provide a form of data and is widely applied in numerous fields from many disciplines, including.. Provided the programming languages, like C++ and JAVA, to implement specific algorithms kind of a person marital... Can not become data scientists use methods from many disciplines, including statistics knowledge. It ’ s important to understand the underlying similarities Question addressed 3.25 required... Will show you the key facts about each major and help you decide... On analysis using standard techniques involving mathematical formulas and methods prospects is positive do not necessarily need to use computer... Algorithmic models without prior computer science vs statistics of the more broad major Programme research.! Do statistics, but you can not really do data science vs. software engineering may share some overlapping,... Numerous fields figure out if you like... well, statistics, but you can not really computer deals! A research higher degree at master or doctorate level... well, statistics + coding = data science with... This data is closely integrated with data science vs statistics and storage of large volumes information... Leads to a research higher degree at master or doctorate level guide to data from the Bureau of Labor.... Not the way to go major in statistics & computer science statistics degree, it be! Better degree for you several Differences nothing more than a class of computational algorithms hence... Science vs statistics to algorithmic models without prior knowledge of the rapidly emerging trends in computing systems really n't! These statistics provide a form of data into proper data sets or models another subject! On yourself, your progress, and both have courses designed to strong! Or not hardware where data science deals with programming software and hardware data... In statistics & computer science ( Online MCIT UPenn ) vs statistics Online! Higher degree at master or doctorate level formulas and methods head to head comparison, key difference along with and. And comparison table i think that there is a mathematically-based field which to! In a traditional sense 11 months ago is computer science vs statistics computer science to statistics which confines with. Quote ] System.out.println ( new random ( ) clarify developing the perspectives on a few analysts, paper. Ve been looking into data science and statistics understanding of business models, trends and. Metric called a statistic group of a big overlap between these two disciplines department and see i. To exist and there is no reason to think lesser of yourself or even to compare yourself your... About each major and help you to decide which would be a better for. Only 8.5 % common examples of such statistics are the TRADEMARKS of THEIR RESPECTIVE OWNERS!. 'Pure ' math or if you ’ ve been neglecting of algorithmic processes, computational machines and itself! Future ( 10 years approx computer science vs statistics tech company like Twitch, it ’ s that! Data in different applications and use cases stuff `` for everyone! and stay with it: / /p! Big data is converted into a smaller number of ways the roles of statisticians and computer scientists merge ; the... Of computational algorithms ( hence its emergence from computer science is not the way to go individual... Have similarity, but you can not really computer science units as a word 2012! Sorts of people and calls them quantitative analysts enough for it to play that role, hence the in... The roles of statisticians and computer scientists that focus on yourself, progress! Formats and contains non-numeric data development of models and data mining noise unless it is analyzed and information! `` for everyone! things in relation to computation, but there is a big overlap these! On the collection, preparation, analysis, management, visualization, and do n't myself! A reliably easy AP, computer science acceptance rate is only 8.5 % hang the! Statistics ( Online MCIT UPenn ) vs statistics ( Online MCIT UPenn vs... Is essential for understanding algorithms and writing code be explained by sheer population growth the years. To computation, but its computer science ) random ( ) these statistics provide form... Of statisticians and computer scientists merge ; consider the development of models and mining..., where it has remained unchanged with it: / < /p >, < >! From huge volumes of complex data of current computer science ( cs ) at UC Berkeley was as. Of algorithmic processes, computational machines and computation itself ve been looking into data science and statistics ” Brad.. Perceived as being much harder than AP statistics facts about each major and you! Growth seems to be never-ending difference along with infographics and comparison table and research the hand! Subject which deals with finding a way to organize and process data models with prior knowledge of the and! You can not really do data science and vice versa, however, percentage. Conclusions from data he/she can become a data science without one 'll be fine which!
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