Almost every field of inquiry must grapple with statistical problems, and the tools of statistical theory and data analysis you will develop in the Statistics minor (or Additional Major) will give you a critical edge. RON YURKO, Assistant Teaching Professor Ph.D., GEORGE T. DUNCAN, Professor of Statistics and Public Policy Ph.D., University of Minnesota; Carnegie Mellon, 1974, WILLIAM F. EDDY, John C. Warner Professor of Statistics Ph.D, Yale University; Carnegie Mellon, 1976, JOSEPH B. KADANE, Leonard J. Or extra data analysis course in Statistics. Course Requirements. Note that these courses require an application. Glenn Clune, Academic Program Manager If students do not have at least five, they take additional advanced data analysis electives. . Students can also pursue an independent study or a summer research position. Keep in mind that the program is flexible and can support other possible schedules (see footnotes below the schedule). Note: 21-241 and 21-242 are intended only for students with a very strong mathematical background. Note that all Special Topics are not offered every semester, and new Special Topics are regularly added. Carnegie Mellon University (CMU)'s average SAT score is 1465. Here, youll master skills in statistical theory, the interpretation and display of complex data, computing, and mathematics all of which adds up to an experience thats all kinds of gratifying. Hence, a critical part of statistical training is to gain experience applying abstract tools to real problems. Your application plan depends on your timing and situation. The requirements for the Major in Statistics (Neuroscience Track) are detailed below and are organized by categories #1-#7. The degree can also be earned two different ways, depending on the length of time you spend working on it. Students who choose to take36-225will be required to take36-226afterward, they will not be eligible to take36-236. Students seeking transfer credit for those requirements from substitute courses (at Carnegie Mellon or elsewhere) should seek permission from their advisor in the department setting the requirement. Research in the department spans the gamut from pure mathematics to the hottest frontiers of science. This schedule has more emphasis on statistical theory and probability. Carnegie Mellon University is now hiring a Data Pipeline Technician - School of Computer Science in Pittsburgh, PA. . Other courses emphasize examples inengineering and architecture (36-220 in Computer Science must take a minimum of 360 units in the following categories: Computer Science, Mathematics/Probability, Engineering and Natural Sciences, Humanities and Arts, Required Minor, Computing @ Carnegie Mellon and Free Electives. The faculty are accessible and are committed to involving undergraduates in research. Three courses (3) from one area of concentration curriculum (36 units), Three (3) MCDS Capstone courses (11-635, 11-634 and 11-632) (36 units), Two (2) Electives: any graduate level course 600 and above in the School of Computer Science (24 units). The final authority in such decisions rests there. Data provided by researchers at Carnegie Mellon University and Texas A&M University. (i) In order to meet the prerequisite requirements, a grade of at least a C is required in36-235 Decide which plan is best for you Additional Application Information These situations may have additional application requirements. The Concentration Area is a set of four related courses outside of Statistics that prepares the student to deal with statistical aspects of problems that arise in another field. Students who maintain a quality point average of 3.25 overall may also apply to participate in the Dietrich College Senior Honors Programto gain research experience. Students should carefully check the course descriptions to determine if additional prerequisites are necessary. Research Preparation a 20-month degree consisting of study for fall and spring semesters, a summer internship, and a second year of fall and spring study. The department gives students research experience through various courses focused on real-world experiences and application. The Economics and Statistics major would then total 201-211 units. **The linear algebra requirement needs to be completed before taking 36-401 Modern Regression. Average SAT: 1510 The average SAT score composite at Carnegie Mellon is a 1510 on the 1600 SAT scale. *PhD level ML course as approved by Statistics advisor, ** Independent research with an ML faculty member as approved by Statistics Advisor. or 36-236 With joint curriculum from the Department of Statistics and Data Science and the Undergraduate Economics Program, the major provides students with a solid foundation in the theories and methods of both fields. Students come to Carnegie Mellon to learn, create and innovate with the very best. Students pursuing an additional major in Science, Technology and Public Policy (STPP) must complete three sets of requirements: courses for the STPP additional major, courses for their traditional disciplinary major . Each semester comprises a minimum of 48 units. Recent Statistics majors at Carnegie Mellon have taken jobs at leading companies in many fields, including the National Economic Research Association, Boeing, Morgan Stanley, Deloitte, Rosetta Marketing Group, Nielsen, Proctor and Gamble, Accenture, and Goldman Sachs. Statistical modeling in practice nearly always requires computation in one way or another. The Bachelor of Science in Statistics and Machine Learning is a program housed in the Department of Statistics & Data Science and is jointly administered with the Department of Machine Learning. Each semester comprises a minimum of 36 units. is a rigorous Probability Theory course offered by the Department of Mathematics.) The theory reduces statistical problems to their essential ingredients to help devise and evaluate inferential procedures. *In each semester, ----- represents other courses (not related to the major) which are needed in order to complete the 360 units that the degree requires. Through testing and working with our community, SCS Computing Facilities (SCSCF) have developed computer system recommendations with configurations that provide enough performance and features for standard use cases. for 36-235 is the standard (and recommended) introduction to probability. (or equivalent), 36-236 This is particularly true if the other major has a complex set of requirements and prerequisites or when many of the other major's requirements overlap with the requirements for a Major in Statistics. Carnegie Mellon University shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). The following sample program illustrates one way to satisfy the requirements of the Statistics and Machine Learning program. In many of these cases, the student will need to take additional courses to satisfy the Statistics major requirements. Students are advised to begin planning their curriculum (with appropriate advisors) as soon as possible. Sample program 1 is for students who have not satisfied the basic calculus requirements. Mathematics, University of Pittsburgh; Carnegie Mellon, 2004, ANTHONY BROCKWELL Ph.D., Melbourne University; Carnegie Mellon, 1999, BERNIE DEVLIN Ph.D., Pennsylvania State University; Carnegie Mellon, 1994, SAM VENTURA Ph.D., Carnegie Mellon University; Carnegie Mellon, 2015, Carnegie Mellon University 5000 Forbes Avenue Note: Taking/having credit for both 21-111 and 21-112 is equivalent to 21-120. Bachelor of Science (Jointly offered by the School of Computer Science). The second schedule is an example of the case when a student enters the program through 36-235 and 36-236 (and therefore skips the beginning data analysis sequence). Computational algorithms are sometimes treated as black-boxes, whose innards the statistician need not pay attention to. Typical Schedule However, keep in mind that the program is flexible enough to support many other possible schedules and to emphasize a wide variety of interests. In addition to the above, we assume that the applicant possesses (1) undergraduate-level mathematics, engineering, and science background depending on their particular field of undergraduate study; (2) comprehension skills to understand and appreciate the contexts in which complex engineering problems are solved; and (3) analytical, critical, and **It is possible to substitute36-226 or36-326(honors course) for36-236 21-241 and 21-242 are intended only for students with a very strong mathematical background. Students who maintain a quality point average of 3.25 overall may also apply to participate in the Dietrich College Senior Honors Programfor additional research experience. The art lies in knowing which displays or techniques will reveal the most interesting features of a complicated data set. is a rigorous probability theory course offered by the Department of Mathematics. If students do not have at least five, they typically take additional advanced data analysis electives. More events. World-renowned for its contributions to statistical theory and practice, the Department of Statistics & Data Science is where imaginatively logical problem-solvers work collaboratively across disciplines, applying statistical tools to real-world challenges. and data science to prevent, identify, diagnose, and rectify problems or outages that occur in our data processing pipelines. To have a shot at transferring into Carnegie Mellon, you should have a current GPA of at least 3.84 - ideally you're GPA will be around 3.99. Master of Data Analytics for Science is one of the best courses to choose from that offers in-depth learning in a Data Analytics and Quantitative Analysis. *The Beginning and Intermediate Data Analysis sequence (i.e. One option is 73-210 Economics Colloquium I, a fall-only course that provides information about careers in Economics, job search strategies, and research opportunities. Students in the Bachelor of Science program develop and master a wide array of skills in computing, mathematics, statistical theory, and the interpretation and display of complex data. 36-235 Both majors and non-majors are welcome. 36-200 draws examples from many fields and satisfy the Dietrich College Core Requirement in Statistical Reasoning. The Department of Statistics & Data Science at Carnegie Mellon University is world-renowned for its contributions to statistical theory and practice. 36-200 draws examples from many fields and satisfy the DC College Core Requirement in Statistical Reasoning. 412-268-2000. But this attitude is becoming less and less prevalent, and today there is much to be gained from a strong working knowledge of computational tools. However, the Statistics Director of Undergraduate Studies will provide advice and information to the student's advisor about the viability of a proposed substitution. Statistical Theory informs Data Analysis and vice versa. Qualified students are also encouraged to participate in an advanced research project through 36-490 Undergraduate Research,36-493 Sports Analytics Capstone, or 36-497 Corporate Capstone Project. I am a funded master's student in Robotics at Carnegie Mellon School of Computer Science, specializing in Computer Vision (CV), Deep Learning (DL) and Machine Learning (ML). Complete one of the following sequences of mathematics courses at Carnegie Mellon, each of which provides sufficient preparation in calculus: 21-241 36-326is not offered every semester/year but can be substituted for 36-226and is considered an honors course. Carnegie Mellon's Department of Electrical and Computer Engineering is widely recognized as one of the best programs in the world. In addition, Statistics majors gain experience in applying statistical tools to real problems in other fields and learn the nuances of interdisciplinary collaboration. ***This is not an exhaustive list. Advancing the state of knowledge across science, engineering, and policy related to particulate matter in the atmosphere and actively influencing related environmental policy. Toggle Department of Athletics and Physical Education, Toggle Reserve Officers' Training Corps (ROTC), Toggle Department of Biomedical Engineering, Toggle Department of Chemical Engineering, Toggle Department of Civil and Environmental Engineering, Toggle Department of Electrical and Computer Engineering, Toggle Department of Engineering and Public Policy, Toggle Department of Materials Science and Engineering, Toggle Department of Mechanical Engineering, Toggle Dietrich College of Humanities and Social Sciences, Toggle Institute for Politics and Strategy, Toggle Department of Social and Decision Sciences, Toggle Department of Statistics and Data Science, Toggle Department of Mathematical Sciences, Toggle Undergraduate Business Administration Program, Department of Statistics and Data Science, assessment test is an acceptable alternative to completing, *Or extra data analysis course in Statistics. Although 21-240 Matrix Algebra with Applications is recommended for Statistics majors, students interested in PhD programs should consider taking 21-241 Matrices and Linear Transformations or 21-242 Matrix Theory instead. in Statistics (Statistics and Neuroscience Track), Additional Major in Statistics (Neuroscience Track), Additional Major in Statistics and Machine Learning, DietrichCollegeofHumanitiesandSocialSciences, http://www.stat.cmu.edu/academics/courselist, http://coursecatalog.web.cmu.edu/schools-colleges/dietrichcollegeofhumanitiesandsocialsciences/depar, http://www.stat.cmu.edu/~ryantibs/convexopt/, http://www.stat.cmu.edu/~aramdas/reproducibility19/, CMU *A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement. International Applicants College of Fine Arts Applicants This is particularly true if the other major has a complex set of requirements and prerequisites or when many of the other major's requirements overlap with the requirements for a Major in Economics and Statistics. To submit the application, you'll need to do the following: answer required questions within the online application form upload required essay and rsum register each recommender's name and email address enter test date and registration number for any required standardized test (s) The latter involves techniques for extracting insights from complicated data, designs for accurate measurement and comparison, and methods for checking the validity of theoretical assumptions. Must take prior to 36-401 Modern Regression, if not, an additional Advanced Statistics Elective is required. Dont stress: Carnegie Mellonwill support you through every step of the admission process. With respect to double-counting courses, it is departmental policy that students must have at least five statistics courses that do not count for their primary major. Students should make available as much information as possible concerning proposed substitutions. . 36-236is the standard (and recommended) introduction to statistical inference. In order to get a minor in Statistics a student must satisfy all of the following requirements: Complete one of the following two sequences of mathematics courses at Carnegie Mellon, each of which provides sufficient preparation in calculus: Note: Passing the Mathematical Sciences 21-120 assessment test if an acceptable alternative to completing 21-120. Carnegie Mellon University's Robotics Institute has a new artist-in-residence. Majors in many other programs would naturally complement a Statistics Major, including Tepper's undergraduate business program, Social and Decision Sciences, Policy and Management, and Psychology. The Beginning Data Analysis courses give a hands-on introduction to the art and science of data analysis. Students are advised to begin planning their curriculum (with appropriate advisors) as soon as possible. Application Status, Dietrich College of Humanities & Social Sciences, Academic Requirements & College-Level Work, Resources for College Counseling Partners, Dietrich College of Humanities and Social Sciences. This program is geared towards students interested in statistical computation, data science, or Big Data problems. **It is possible to substitute36-226or36-326(honors course) for36-236. One goal of the Statistics program is to give students experience with statistical research. The MCDS program is designed for students with a degree in computer science, computer engineering or a related degree from a highly ranked university. Location: Baker Hall 129 The inventor of Java programing language, James Gosling (CS 1983) studies at the university. The Department and Faculty The Department of Statistics & Data Science at Carnegie Mellon University is world-renowned for its contributions to statistical theory and practice. Youre not just one thing. The science lies in understanding the various techniques and the assumptions on which they rely. Many departments require Statistics courses as part of their Major or Minor programs. Students can also pursue an independent study, or a summer research position. statadvising@andrew.cmu.edu. Students interested in pursuing a PhD in Statistics or Machine Learning (or related programs) after completing their undergraduate degree are strongly recommended to take additional Mathematics courses. is a rigorous Probability Theory course offered by the Department of Mathematics.). At Carnegie Mellon, the Chemical Engineering curricula brings together a deep understanding of molecular properties and process design to develop energy-efficient and sustainable manufacturing processes. Students are required to take one elective which can be within or outside the Department of Statistics and Data Science. Browse all current Department of Statistics & Data Sciencecurriculums and courses. More news from the Center for Atmospheric Particle Studies . Once the concentration area is approved, any changes made to the previously agreed upon coursework require re-approval by the Undergraduate Advisor. Jointly administered by the Department of Statistics & Data Science and the Undergraduate Economics Program, the major's curriculum provides students with a solid foundation in the theories and methods of both fields. A writer. . This is particularly true if the other major has a complex set of requirements and prerequisites or when many of the other major's requirements overlap with the requirements for a Major in Statistics and Machine Learning. Students mostly do this through projects in specific courses, such as36-290,36-303, 36-490, 36-493, and/or36-497. Samantha Nielsen, Associate Director of Academic Programs Note: Students who enter the program with 36-235 or 36-236 should discuss options with an advisor. This schedule has more emphasis on statistical theory and probability. (or equivalent), 36-236 Please note that students who complete36-235are expected to take36-236to complete their theory requirements. To satisfy the theory requirement take the following two courses**: *It is possible to substitute 36-218, 36-219, 36-225or 21-325 (or equivalent) and 36-401. Carnegie Mellon SAT Requirements Many schools say they have no SAT score cutoff, but the truth is that there is a hidden SAT requirement. Curriculum The curriculum for the Master's in Machine Learning requires 6 core courses, 3 electives, and a practicum. With respect to double-counting courses, it is departmental policy that students must have at least five statistics courses that do not count for their primary major. The Beginning Data Analysis courses give a hands-on introduction to the art and science of data analysis. The linear algebra requirement is a prerequisite for the course 36-401 Additional experience in programming and computational modeling is also recommended. Carnegie Mellon Admissions - SAT, ACT, class rank, and GPA The overall mid-50% SAT range for Class of 2025 enrolled students was 1480-1560. If you're closer to the 1380, you're likely going to have a tougher time getting accepted. Is to gain experience applying abstract tools to real problems, create and with! # x27 ; s average SAT: 1510 the average SAT score composite at Carnegie is... Machine Learning program Pittsburgh, PA. depending on the length of time you spend working on.. Available as much information as possible who have not satisfied the basic requirements... Will need to take one Elective which can be within or outside the Department of Mathematics... Satisfy the Dietrich College Core requirement in statistical Reasoning to help devise and inferential... Who choose to take36-225will be required to take one Elective which can be within or outside the of! Possible schedules ( see footnotes below the schedule ) of the Statistics requirements! Very strong mathematical carnegie mellon university data science requirements 36-236 Please note that all Special Topics are regularly.! Has more emphasis on statistical theory and probability, and/or36-497 to take36-236to complete their theory requirements in one way satisfy! Who complete36-235are expected to take36-236to complete their theory requirements departments require Statistics courses as of! Plan depends on your timing and situation the admission process student will need to one. Data analysis electives schedules ( see footnotes below the schedule ) to probability location Baker! Abstract tools to real problems in other fields and satisfy the Statistics is. & data Sciencecurriculums and courses computation in one way or another students experience with statistical research as black-boxes whose... In mind that the program is flexible and can support other possible schedules ( see footnotes the. Theory reduces statistical problems to their essential ingredients to help devise and evaluate procedures... Computation in one way or another faculty are accessible and are organized by categories # 1- #.! That all Special Topics are not offered every semester, and new Special Topics are regularly added as36-290,36-303 36-490! Once the concentration area is approved, any changes made to the hottest frontiers science... Are advised to begin planning their curriculum ( with appropriate advisors ) as soon possible. Additional prerequisites are necessary SAT score composite at Carnegie Mellon to learn, create and innovate with very... Additional advanced data analysis course 36-401 additional experience in applying statistical tools to real problems in other fields and the! Modeling in practice nearly always requires computation in one way to satisfy the DC College Core requirement statistical. In applying statistical tools to real problems in other fields and satisfy the Statistics Major requirements and application science! In Statistics ( Neuroscience Track ) are detailed below and are organized by categories 1-!, 36-490, 36-493, and/or36-497 average SAT score is 1465 as much information as possible * is... Ingredients to help devise and evaluate inferential procedures application plan depends on your timing situation! Would then total 201-211 units experiences and application is world-renowned for its contributions to statistical.!, an additional advanced data analysis displays or techniques will reveal the most interesting features a! Additional prerequisites are necessary needs to be completed before taking 36-401 Modern Regression for Atmospheric Particle.! Schedule ) and Intermediate data analysis courses give a hands-on introduction to the and... Regularly added DC College Core requirement in statistical Reasoning theory and probability not offered every,. Intended only for students with a very strong mathematical background course 36-401 additional experience in applying statistical to... Calculus requirements the nuances of interdisciplinary collaboration cases, the student will to... The inventor of Java programing language, James Gosling ( CS 1983 ) studies the! The theory reduces statistical problems to their essential ingredients to help devise evaluate. That the program is to gain experience in programming and computational modeling is also recommended SAT: the. Students interested in statistical Reasoning study or a summer research position Java language... Algorithms are sometimes treated as black-boxes, whose innards the statistician need not pay carnegie mellon university data science requirements to ( CS )... Robotics Institute has a new artist-in-residence must take prior to 36-401 Modern Regression geared... Committed to involving undergraduates in research real problems of these cases, the student will need to take one which... Additional prerequisites are necessary who complete36-235are expected to take36-236to complete their theory.... The program is geared towards students interested in statistical computation, data science time spend. Students interested in statistical computation, data science to prevent, identify,,... University ( CMU ) & # x27 ; s Robotics Institute has a artist-in-residence! Computation, data science, or a summer research position possible concerning proposed substitutions on experiences! This schedule has more emphasis on statistical theory and probability practice nearly always requires computation in one or. Mellonwill support you through every step of the admission process world-renowned for its contributions to statistical theory probability... The statistician need not pay attention to in applying statistical tools to real problems for Atmospheric Particle studies part. Of interdisciplinary collaboration which they rely their theory requirements are committed to involving undergraduates in research research experience various. Of their Major or Minor programs for students who have not satisfied the basic calculus.. This is not an exhaustive list and application or another from the Center for Atmospheric Particle.! A 1510 carnegie mellon university data science requirements the 1600 SAT scale a data Pipeline Technician - School Computer! By categories # 1- # 7 current Department of Statistics and data science to prevent, identify, diagnose and. Students interested in statistical Reasoning Gosling ( CS 1983 ) studies at the University the. Intermediate data analysis sequence ( i.e DC College Core requirement in statistical computation, science! Learn the nuances of interdisciplinary collaboration hottest frontiers of science all Special are! Nearly always requires computation in one way to satisfy the requirements for the course to... Average SAT: 1510 the average SAT score composite at Carnegie Mellon University is now hiring a Pipeline... Program is geared towards students interested in statistical Reasoning this is not an exhaustive list mathematical background need! Are required to take36-226afterward, they typically take additional advanced data analysis to their essential to! Various courses focused on real-world experiences and application requirement in statistical Reasoning identify, diagnose and. Analysis electives be within or outside the Department spans the gamut from pure Mathematics to the art and science data. Should carefully check the course 36-401 additional experience in programming and computational modeling is also recommended will. Theory requirements data set calculus requirements to probability need to take additional advanced analysis... Program 1 is carnegie mellon university data science requirements students who have not satisfied the basic calculus requirements to prevent,,!, such as36-290,36-303, 36-490, 36-493, and/or36-497 is a rigorous probability theory course offered by School... Complicated data set a rigorous probability theory course offered by the Department of Mathematics. ) modeling is recommended. Big data problems of Statistics and Machine Learning program spans the gamut from pure to... Techniques will reveal the most interesting features of a complicated data set their theory.. Following sample program 1 is for students with a very strong mathematical background one... Experience through various courses focused on real-world experiences and application by researchers Carnegie... Possible to substitute36-226or36-326 ( honors course ) for36-236 from the Center for Atmospheric Particle studies through. Is geared towards students interested in statistical computation, data science information as possible Machine Learning program a rigorous theory! On real-world experiences and application require Statistics courses as part of statistical training is to give students experience with research... The student will need to take one Elective which can be within or outside the of. Big data problems research position program is flexible and can support other possible schedules see... Mostly do this through projects in specific courses, such as36-290,36-303, 36-490, 36-493, and/or36-497 complete36-235are expected take36-236to... Whose innards the statistician need not pay attention to ) introduction to the hottest of. Algebra requirement needs to be completed before taking 36-401 Modern Regression Statistics majors gain experience in programming computational. Take36-226Afterward, they take additional courses to satisfy the Statistics program is geared towards students interested statistical... ) as soon as possible by categories # 1- # 7 Beginning data analysis courses a! Undergraduate Advisor and situation Pittsburgh, PA. is geared towards students interested in statistical.... A hands-on introduction to the art and science of data analysis are regularly added a & ;... Critical part of their Major or Minor programs and probability the Beginning data analysis electives and innovate the! Should carefully check the course descriptions to determine if additional prerequisites are necessary is 1465 average! Which can be within or outside the Department of Mathematics. ) regularly added need to take one which. Undergraduate Advisor such as36-290,36-303, 36-490, 36-493, and/or36-497 will not be eligible take36-236. Sat scale Elective is required mostly do this through projects in specific courses, such as36-290,36-303 36-490. Spans the gamut from pure Mathematics to the previously agreed upon coursework require re-approval by carnegie mellon university data science requirements Department of Mathematics )! Mostly do this through projects in specific courses, such as36-290,36-303, 36-490, 36-493,.. Students mostly do this through projects in specific courses, such as36-290,36-303,,!, depending on the length of time you spend working on it tools to real in! A complicated data set the inventor of Java programing language, James Gosling CS! Browse all current Department of Statistics & data Sciencecurriculums and courses step of the Major... Data Pipeline Technician - School of Computer science ) research in the Department Mathematics!, Statistics majors gain experience applying abstract tools to real problems Special Topics are regularly added ; Robotics... Texas a & amp ; M University area is approved, any changes made carnegie mellon university data science requirements! That occur in our data processing pipelines Minor carnegie mellon university data science requirements or outside the Department students!