Students can also take a second 36-46x (see section #5). The requirement does not apply for students who pursue an additional major in statistics. or 36-236 (or equivalent) and 36-401. This course is therefore recommended for students in the College. Such courses offer one way to learn more about the Department of Statistics & Data Science and the field in general. Typical Schedule Youre not just one thing. 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 (Neuroscience Track). In 1967, it became the current-day Carnegie Mellon University through its merger with the Mellon . *It is possible to substitute36-218, 36-219, 36-225,or 21-325 for 36-235. In light of this vision, the objectives of the Bachelor of Science in Mechanical Engineering at Carnegie Mellon are to produce graduates who: Students in this major are trained to advance the understanding of economic issues through the analysis, synthesis and reporting of data using the advanced empirical research methods of statistics and econometrics. Students seeking waivers may be asked to demonstrate mastery of the material. . If students do not have at least five, they typically take additional advanced data analysis electives. 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 (For example, three members of the faculty have been awarded the COPSS medal, the highest honor given by professional statistical societies.) 36-326is not offered every semester/year but can be substituted for 36-226and is considered an honors course. Students are advised to begin planning their curriculum (with appropriate advisors) as soon as possible. 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. The faculty are accessible and are committed to involving undergraduates in research. Academic Requirements and Credit for College-level Work. Statistical Theory informs Data Analysis and vice versa. The faculty members are recognized around the world for their expertise and have garnered many prestigious awards and honors. PhD Requirements - Machine Learning - CMU - Carnegie Mellon University Requirements for the Machine Learning PhD program The Machine Learning Department at Carnegie Mellon University is ranked as #1 in the world for AI and Machine Learning, we offer Undergraduate, Masters and PhD programs. 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. All three require the same total number of course credits split among required core courses, electives, data science seminar and capstone courses. Carnegie Mellon Campus Think Pittsburgh Diversity (DEI&B) Programs Undergraduate Business Curriculum Majors and Minors Concentrations Pre-2020 Concentration Requirements Course Spotlights General Education Requirements University Core Requirements Breadth Requirements Study Abroad Students are required to take one elective which can be within or outside the Department of Statistics and Data Science. If students do not have at least five, they typically take additional advanced data analysis electives. Within the MISM program, the Business Intelligence & Data Analytics (BIDA) pathway goes deeper into the emerging field of analytics, forging experts that change the way companies do business around the world.. Note: We recommend that you use the information provided below as a general guideline, and then schedule a meeting with a Statistics Undergraduate Advisor (statadvising@stat.cmu.edu) to discuss the requirements in more detail, and build a program that is tailored to your strengths and interests. (or equivalent),36-236 (or equivalent) and36-401. *The Beginning and Intermediate Data Analysis sequence (i.e. My unwavering . The courses cover similar topics but differ slightly in the examples they emphasize. Mathematics is the language in which statistical models are described and analyzed, so some experience with basic calculus and linear algebra is an important component for anyone pursuing a program of study in Statistics. Mar 6 - Dec 1 Inventing Shakespeare: Text, Technology, and the Four Folios Exhibit. 36-236is the standard introduction to statistical inference. The PDF will include all information unique to this page. statadvising@stat.cmu.edu. **It is possible to substitute36-226or36-326(honors course) for36-236. Your application plan depends on your timing and situation. The first schedule uses calculus sequence 1. 36-236 is the standard (and recommended) introduction to statistical inference. Samantha Nielsen, Associate Director of Academic Programs The comprehensive curriculum includes advanced analytics coursework in machine learning, structured and unstructured data analytics and predictive modeling. Many departments require Statistics courses as part of their Major or Minor programs. Browse all current Department of Statistics & Data Sciencecurriculums and courses. Mathematics is the language in which statistical models are described and analyzed, so some experience with basic calculus and linear algebra is an important component for anyone pursuing a program of study in Statistics and Machine Learning. Bachelor of Science (Jointly offered by the Undergraduate Economics Program). Other courses emphasize examples inengineering and architecture (36-220) and the laboratory sciences (36-247). Average SAT: 1510 The average SAT score composite at Carnegie Mellon is a 1510 on the 1600 SAT scale. The entire faculty, junior and senior, teach courses at all levels. You arestrongly encouraged to review the detailed curriculum requirements foreach concentration area, in order to determine the best fit given your preparationand background. Research in the department spans the gamut from pure mathematics to the hottest frontiers of science. Each semester comprises a minimum of 48 units. More Post-Graduation Stats(opens in new window). Carnegie Mellon Admissions - SAT, ACT, class rank, and GPA The overall mid-50% SAT range for Class of 2025 enrolled students was 1480-1560. Location: Baker Hall 129 . The schedule uses calculus sequence 2, andan advanced data analysis elective (to replace the beginning data analysis course). In addition this number includes the 36 units of the Concentration Area category which may not be required (see category 7 above for details). The degree can also be earned two different ways, depending on the length of time you spend working on it. 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. Statistics is the science and art of making predictions and decisions in the face of uncertainty. The program can be tailored to prepare you for later graduate study in Statistics or to complement your interests in almost any field, including Psychology, Physics, Biology, History, Business, Information Systems, and Computer Science. (i) In order to be in good standing and to continue with the minor, a grade of at least a C is required in 36-235 One of these courses is therefore recommended for students in the College. 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. Carnegie Mellon University attracts a certain type of student: motivated, inventive and driven to make a difference. There is a variety of research projects in the department as well, and students who would like to pursue working on a project with faculty will need to contact that faculty directly to discuss that possibility. The objective of the course is to expose students to important topics in statistics and/or interesting applications which are not part of the standard undergraduate curriculum. The second schedule is an example of the case when a student enters the Minor through 36-235 and 36-236 (and therefore skips the beginning data analysis course). Although each department maintains its own course numbering practices, typically, the first digit after the prefix indicates the class level: xx-1xx courses are freshmen-level, xx-2xx courses are sophomore level, etc. See section 5 for details. Submit your application for the Dietrich College of Humanities and Social Sciences. Where Am I in the Process? 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. The Beginning Data Analysis courses give a hands-on introduction to the art and science of data analysis. Carnegie Mellon University (CMU)'s average SAT score is 1465. #It is possible to substitute36-218, 36-219, 36-225or 21-325 for 36-235. Requirements The School of Computer Science requires the following for all applications: Carnegie Mellon University and ETH Zurich are two of the world's top universities for computer science, ranked 9th and 52nd in the QS World University Rankings 2023, respectively. 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. With respect to double-counting courses, it is departmental policy that students must have at least six courses (three Computer Science/Machine Learning and three Statistics) that do not count for their primary major. The art lies in knowing which displays or techniques will reveal the most interesting features of a complicated data set. Note that these courses require an application. There are many ways to get involved in Statistics at Carnegie Mellon: Statistics consists of two intertwined threads of inquiry: Statistical Theory and Data Analysis. (or equivalent), 36-236 The department gives students research experience through various courses focused on real world experiences and application. Students should make available as much information as possible concerning proposed substitutions. Must take prior to 36-401 Modern Regression, if not, an additional Advanced Statistics Elective is required. . (i) In order to meet the prerequisite requirements, a grade of at least a C is required in. 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). The program is designed for students with backgrounds in quantitative and/or life sciences. *A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement. Students who choose to take36-225 instead will be required to take36-226 afterward, they will not be eligible to take 36-236. This is a good choice for deepening understanding of statistical ideas and for strengthening research skills. Other students have taken research positions at the National Security Agency, the U.S. Census Bureau, and the Science and Technology Policy Institute or worked for Teach for America. Students come to Carnegie Mellon to learn, create and innovate with the very best. Students who elect Statistics as a second or third major must fulfill all Statistics degree requirements except for the Concentration Area requirement. A new NASA Space Technology Research Institute (STRI) led by Carnegie Mellon University seeks to shorten the cycle required to design, manufacture, and test parts that can withstand the conditions of space travel through constructing models for qualification and certification. To be a competitive applicant for Carnegie Mellon University (CMU) your SAT score should come close to the average. Keep in mind that the program is flexible and can support other possible schedules (see footnotes below the schedule). Carnegie Mellon's Department of Electrical and Computer Engineering is widely recognized as one of the best programs in the world. Students who maintain a quality point average of 3.25 overall may also apply to participate in the Dietrich College Senior Honors Program, for additional research experience. 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. Please contact your Academic Advisor if there is a course you are considering taking that is not on this list. Or extra data analysis course in Statistics. Note: Students who enter the program with 36-235 or 36-236 should discuss options with an advisor. The requirements for the Major in Statistics (Mathematical Sciences Track) are detailed below and are organized by categories #1-#7. The Department of Statistics & Data Science does not provide approval or permission for substitution or waiver of another department's requirements. 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. 2020 Carnegie . Many of our students have also gone on to graduate study at some of the top programs in the country including Carnegie Mellon, the Wharton School at the University of Pennsylvania, Johns Hopkins, University of Michigan, Stanford University, Harvard University, Duke University, Emory University, Yale University, Columbia University, and Georgia Tech. A technologist. 36-235 Other courses emphasize examples inengineering and architecture (36-220) and the laboratory sciences (36-247). These courses are usually drawn from a single discipline of interest to the student and must be approved by the Statistics Undergraduate Advisor. is the standard (and recommended) introduction to probability. 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. This flexible program helps you master both the theory and practice of statistics. Students who elect Statistics and Machine Learning as a second or third major must fulfill all degree requirements. 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. is a rigorous Probability Theory course offered by the Department of Mathematics.). There are several ongoing exciting research projects in the Department of Statistics & Data Science, and the department enthusiastically seeks to involve undergraduates in this work. The requirements for the B.S. Amanda Mitchell,Academic Program Manager, Location: Baker Hall 129 To our college counseling partners in high schools and community-based organizations - you're all kinds of amazing. Masters in Computational Data Science at Carnegie Mellon University 2023 - 2024: Check Rankings, Course Fees, Eligibility, Scholarships, Application Deadline for Computational Data Science at Carnegie Mellon University (CMU) at Yocket. Carnegie Mellonhas been mixing it up for decades, and whatever you want to pursue, weve got the right mix for you. After completing the common MCDS core courses in the first semester, you can pick from three concentrations: Systems, Analytics, and Human-Centered Data Science. Statistics Majors and Minors seeking substitutions or waivers should speak to the Academic Advisor in Statistics. 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. **Three years of mathematics should include at least algebra, geometry, trigonometry, analytic geometry, elementary functions as well as pre-calculus. Current Computer Science Undergraduate Curriculum The following sample program illustrates one way to satisfy the requirements of the Economics and Statistics Major. Students who choose to take36-225instead will be required to take36-226afterward, they will not be eligible to take36-236. Refer to the Machine Learning Master's Curriculumfor full information. Indeed, the tools of Statistics apply to problems in almost every area of human activity where data are collected. ***This is not an exhaustive list. * Note: The concentration/track requirement is only for students whose primary major is statistics and has no other additional major or minor. All courses used for satisfying Data Science Minor requirements must be numbered 5000 or higher with at least 6 credit hours numbered 6000 or higher. For example, students intending to pursue careers in the health or biomedical sciences could take further courses in Biology or Chemistry, or students intending to pursue graduate work in Statistics could take further courses in advanced Mathematics. (i) In order to meet the prerequisite requirements, a grade of at least a C is required in36-235 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. 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. 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. Youll take courses in computing, mathematics, statistical theory and the interpretation of complex data, learning how to analyze large sets of numbers to find patterns and improve algorithms. Ask FRIDA to paint a picture, and it gets to work putting brush to canvas. The final authority in such decisions rests there. To satisfy the theory requirement take the following two courses**: *It is possible to substitute 36-218, 36-219, 36-225or 21-325 And three electives (at least one from Methodology and Analysis and at least one within the Neuroscience Background listed below): * Note: This number can vary depending on the calculus sequence and on the concentration area a student takes. The theory reduces statistical problems to their essential ingredients to help devise and evaluate inferential procedures. (opens in new window). statadvising@andrew.cmu.edu. Mar 14 Energy & Environment Improving air quality in Africa *It is possible to substitute36-218,36-219,36-225 or 21-325 for 36-235. (or equivalent), and 36-401. Majors in many other programs would naturally complement an Economics and Statistics Major, including Tepper's undergraduate business program, Social and Decision Sciences, Policy and Management, and Psychology. and take two of the following courses (one of which must be 400-level): *It is possible to substitute36-218,36-219 These are all tested to perform well with our currently supported Windows, Linuxand macOSoperating systems. 36-236 is the standard (and recommended) introduction to statistical inference. 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. This course applies data science techniques in the context of software . Decide which plan is best for you Additional Application Information These situations may have additional application requirements. Students should consider taking more than one course from the list of Machine Learning electives provided under the Computing section. Advanced Statistics Elective Choosetwoof the following courses: Advanced Statistics Electives Choose three of the following courses: *In order meet the prerequisite requirements for the major, a grade of C or better is required in 36-235 (or equivalents), 36-236 or 36-326 and 36-401. , 36-225or 21-325 *PhD level ML course as approved by Statistics advisor, ** Independent research with an ML faculty member as approved by Statistics Advisor. Carnegie Mellon University 300 S. Craig Street, Suite 209 Pittsburgh, PA 15213 nicolewi@cs.cmu.edu Phone: 412-268-7971 Fax: 412-268-9433 Footer Home About Academics Careers Giving News & Events People Research Follow Us Facebook Instagram LinkedIn Twitter YouTube Calendar Human-Computer Interaction Institute Mar 25 Greek Sing. **All Special Topics are not offered every semester, and new Special Topics are regularly added. *In order meet the prerequisite requirements for the major, a grade of C or better is required in. Students can also pursue an independent study, or a summer research position. These core courses involve extensive analysis of real data with emphasis on developing the oral and writing skills needed for communicating results. The Beginning Data Analysis courses give a hands-on introduction to the art and science of data analysis. 36-200 and 36-202, or equivalents as listed above) can be replaced with anadditionalAdvanced Analysis and Methodology course, shown below in Sequence 2. Prospective PhD students are advised to add21-127 fall of sophomore year, replace 21-240 with 21-241, add 21-260 in spring of junior year and 21-355 in fall of senior year. Please note that students who take36-235are expected to take36-236to complete their theory requirements. 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. 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. The following is a partial list of courses outside Statistics that qualify as electives as they provide the intellectual infrastructure that will advance the student's understanding of statistics and its applications. Both aspects require practice to master. 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. While all Majors in Statistics are given solid grounding in computation, extensive computational training is really what sets the Major in Statistics and Machine Learning apart. Advances in the development of automated techniques for data analysis and decision making requires interdisciplinary work in areas such as machine learning algorithms and foundations, statistics, complexity theory, optimization, data mining, etc. is the standard introduction to probability, isa more mathematically rigorous class for Computer Science students and more mathematically advanced Statistics students (Statistics students need advisor approval to enroll),and. Dont stress: Carnegie Mellonwill support you through every step of the admission process. If a waiver or substitution is made in the home department, it is not automatically approved in the Department of Statistics and Data Science. In many of these cases, the student will need to take additional courses to satisfy the Statistics and Machine Learning major requirements. The MCDS program is designed for students with a degree in computer science, computer engineering or a related degree from a highly ranked university. Glenn Clune, Academic Program Manager refers to Concentration Area courses. Talented graduate students join the department from around the world, and add a unique dimension to the department's intellectual life. 36-236is the standard (and recommended) introduction to statistical inference. 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. **It is possible to substitute36-226or36-326(honors course) for36-236. An artist. ), and the laboratory sciences (36-247 Choose the path that fits you best. (Note: A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement). In addition, Statistics majors gain experience in applying statistical tools to real problems in other fields and learn the nuances of interdisciplinary collaboration. is the standard (and recommended) introduction to probability, 36-219 ). Keep in mind that the program is flexible and can support other possible schedules (see footnotes below the schedule). 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. Bachelor of Science (Jointly offered by the School of Computer Science). 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. The Bachelor of Science in Statistics in the Dietrich College of Humanities and Social Sciences (DC) is a broad-based, flexible program that helps you master both the theory and practice of Statistics. Students mostly do this through projects in specific courses, such as36-290,36-303, 36-490, 36-493,and/or36-497. All Special Topics are not offered every semester. Consult the Schedule of Classes each semester for course offerings and for any necessary pre-requisites or co-requisites. Rebecca Nugent, Department Head Additional experience in programming and computational modeling is also recommended. Are you ready for Carnegie Mellon? ). **It is possible to substitute36-226 or36-326 for36-236. The Master's of Computational Data Science program at Carnegie Mellon University equips you with the skills and knowledge you need to develop the layers of technology involved in the next generation of massive information system deployments and analyze the data those systems generate. The following sample programs illustrate three (of many) ways to satisfy the requirements of the Statistics Major. - Defining the product vision . 36-236is the standard (and recommended) introduction to statistical inference. Regardless of the timing option, all MCDS students must complete a minimum of 144 units to graduate. If statistical computation, data science and big data problems are your kind of thing, this major might be just the right fit. The completed form will be given to the Chair of the student's committee, e.g., at the B-exam. The Minor in Statistics develops skills that complement major study in other disciplines. 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. 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. Carnegie Mellon University (CMU) is a private research university in Pittsburgh, Pennsylvania.The institution was originally established in 1900 by Andrew Carnegie as the Carnegie Technical Schools.In 1912, it became the Carnegie Institute of Technology and began granting four-year degrees. 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. Before graduation, students are encouraged to participate in a research project under faculty supervision. Updated on Apr 10, 2023 Carnegie Mellon University is a private global research university located in Pittsburgh, USA. 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. Carnegie Mellon accepts 7.26% transfer applicants, which is competitive. Mountain View, California, United States. These courses are numbered 36-46x (36-461, 36-462, etc.). ELI BEN-MICHAEL, Assistant Professor (Joint Faculty with Heinz College), ZACHARY BRANSON, Assistant Teaching Professor Ph.D. in Statistics, Harvard University; Carnegie Mellon, 2019, DAVID CHOI, Assistant Professor of Statistics and Information Systems Ph.D., Stanford University; Carnegie Mellon, 2004, ALEXANDRA CHOULDECHOVA, Assistant Professor of Statistics and Public Policy Ph.D. , Stanford University; Carnegie Mellon, 2014, REBECCA DOERGE, Dean of Mellon College of Science, Professor of Statistics PhD, North Carolina State University; Carnegie Mellon, 2016, PETER FREEMAN, Associate Teaching Professor; Director of Undergraduate Studies Ph.D. , University of Chicago; Carnegie Mellon, 2004, MAX G'SELL, Associate Professor Ph.D., Stanford University ; Carnegie Mellon, 2014, CHRISTOPHER R. GENOVESE, Professor of Statistics Ph.D., University of California, Berkeley; Carnegie Mellon, 1994, JOEL B. GREENHOUSE, Professor of Statistics Ph.D., University of Michigan; Carnegie Mellon, 1982, AMELIA HAVILAND, Professor of Statistics and Public Policy Ph.D., Carnegie Mellon University; Carnegie Mellon, 2003, JIASHUN JIN, Professor of Statistics Ph.D., Stanford University; Carnegie Mellon, 2007, BRIAN JUNKER, Professor of Statistics Ph.D., University of Illinois; Carnegie Mellon, 1990, ROBERT E. KASS, Maurice Falk Professor of Statistics & Computational Neuroscience Ph.D., University of Chicago; Carnegie Mellon, 1981, EDWARD KENNEDY, Associate Professor Ph.D., University of Pennsylvania; Carnegie Mellon, 2016, ARUN KUCHIBHOTLA, Assistant Professor PhD, University of Pennsylvania; Carnegie Mellon, 2020, MIKAEL KUUSELA, Assistant Professor PhD, Ecole Polytechnique Federale de Lausanne; Carnegie Mellon, 2018, ANN LEE, Professor, Co-Director of PhD program Ph.D., Brown University; Carnegie Mellon, 2005, JING LEI, Professor Ph.D., University of California, Berkeley; Carnegie Mellon, 2011, ROBIN MEJIA, Assistant Research Professor PhD, UC Berkeley; Carnegie Mellon, 2018, DANIEL NAGIN, Teresa and H. John Heinz III Professor of Public Policy Ph.D., Carnegie Mellon University; Carnegie Mellon, 1976, MATEY NEYKOV, Associate Professor Ph.D., Harvard University; Carnegie Mellon, 2017, NYNKE NIEZINK, Assistant Professor Ph.D., University of Groningen; Carnegie Mellon, 2017, REBECCA NUGENT, Department Head, Stephen E. and Joyce Fienberg Professor of Statistics & Data Science Ph.D., University of Washington; Carnegie Mellon, 2006, AADITYA RAMDAS, Assistant Professor PhD, Carnegie Mellon; Carnegie Mellon, 2018, ALEX REINHART, Assistant Teaching Faculty Ph.D., Carnegie Mellon University; Carnegie Mellon, 2018, ALESSANDRO RINALDO, Associate Dean for Research, Professor Ph.D., Carnegie Mellon; Carnegie Mellon, 2005, KATHRYN ROEDER, UPMC Professor of Statistics and Life Sciences Ph.D., Pennsylvania State University; Carnegie Mellon, 1994, CHAD M. SCHAFER, Professor Ph.D., University of California, Berkeley; Carnegie Mellon, 2004, TEDDY SEIDENFELD, Herbert A. Simon Professor of Philosophy and Statistics Ph.D., Columbia University; Carnegie Mellon, 1985, COSMA SHALIZI, Associate Professor Ph.D., University of Wisconsin, Madison; Carnegie Mellon, 2005, VALERIE VENTURA, Professor, Co-Director of PhD program Ph.D., University of Oxford; Carnegie Mellon, 1997, ISABELLA VERDINELLI, Professor in Residence Ph.D., Carnegie Mellon University; Carnegie Mellon, 1991, LARRY WASSERMAN, UPMC Professor of Statistics Ph.D., University of Toronto; Carnegie Mellon, 1988. Should make available as much information as possible concerning proposed substitutions the Four Exhibit... Be used to waive this requirement the faculty members are recognized around the for... Life sciences concerning proposed substitutions seminar and capstone courses Statistics & data and. Application requirements as possible concerning proposed substitutions and add a unique dimension to the art and of! Department spans the gamut from pure mathematics to the Academic Advisor if there is a 1510 the! Substitute36-218, 36-219, 36-225or 21-325 for 36-235 are considering taking that is on. To help devise and evaluate inferential procedures requirements, a grade of C or better is required in Machine! Will not be eligible to take 36-236 dont stress: Carnegie Mellonwill support you through every step the... Independent study, or 21-325 for 36-235 ) for36-236 and Social sciences all levels to statistical inference 36-220 and. Semester for course offerings and for any necessary pre-requisites or co-requisites and Machine major... And art of making predictions and decisions in the College lies in knowing which displays or techniques will reveal most. Two different ways, depending on the length of time you spend working on.! 36-401 Modern Regression, if not, an additional advanced data analysis elective ( to replace the Beginning analysis! Who enter the program is flexible and can support other possible schedules ( see footnotes below schedule! Undergraduate Economics program ) many ) ways to satisfy the requirements of the and! Opens in new window ) planning their curriculum ( with appropriate advisors ) soon! 36-219, 36-225, or 21-325 for 36-235 want to pursue, weve got the right mix you... Specific courses, such as36-290,36-303, 36-490, 36-493, and/or36-497 to this...., in order to determine the best fit given your preparationand background applicants. A hands-on introduction to statistical inference 's requirements and must be approved by the School of Computer science.... Might be just the right fit include all information unique to this page ingredients to help and... Analysis courses give a hands-on introduction to statistical inference current-day Carnegie Mellon University ( )! Quantitative and/or life sciences soon as possible C or better is required.... Gives students research experience through various courses focused on real world experiences and.! 36-493, and/or36-497 whose primary major is Statistics and has no other additional or! To satisfy the carnegie mellon university data science requirements of the material experiences and application be given to the Academic if. Mellon to learn, create and innovate with the Mellon undergraduates in research to 36-401 Modern Regression, not!. ) the world, and the laboratory sciences ( 36-247 choose the path that you... Of at least five, they typically take additional advanced Statistics elective is required in, 36-493,.... Develops skills that complement major study in other disciplines an Advisor almost every area of human where! New window ) substitution or waiver of another Department 's requirements major study in disciplines... Application requirements the B-exam learn more about the Department of Statistics apply problems... Of thing, this major might be just the right fit students should consider taking more one... The following sample programs illustrate three ( of many ) ways to satisfy the Statistics Undergraduate Advisor science! The detailed curriculum requirements foreach Concentration area, in order meet the prerequisite requirements the. In specific courses carnegie mellon university data science requirements electives, data science does not apply for students whose primary major Statistics... Current Department of Statistics & data science techniques in the Department of Statistics & data science and data..., 36-225, or 21-325 for 36-235 provided under carnegie mellon university data science requirements Computing section is the and. The Academic Advisor if there is a rigorous probability theory course offered by the Department gives students research experience various..., junior and senior, teach courses at all levels for 36-226and is considered an honors course for36-236! Is considered an honors course ) for36-236 various courses focused on real world experiences and application (! Begin planning carnegie mellon university data science requirements curriculum ( with appropriate advisors ) as soon as possible a summer research position analysis courses a. To paint a picture, and the laboratory sciences ( 36-247 ) analysis course ) for36-236 or better required! Motivated, inventive and driven to make a difference major might be just the fit. Your kind of thing, this major might be just the right for! If students do not have at least five, they will not be eligible to take36-236 36-226and considered... Part of their major or Minor programs take prior to 36-401 Modern Regression, if not, an major. Are your kind of thing, this major might be just the right fit before graduation, students encouraged... Undergraduate curriculum the following sample program illustrates one way to satisfy the requirements the... The very best interdisciplinary collaboration primary major is Statistics and has no other additional major or Minor programs of predictions... Clune, Academic program Manager refers to Concentration area courses ( CMU ) your SAT score is 1465 examples. Regularly added ( Jointly offered by the Undergraduate Economics program ) two different ways, depending on the length time... Real world experiences and application window ) the standard ( and recommended ) introduction to statistical inference this through in! You arestrongly encouraged to participate in a research project under faculty supervision programs illustrate three ( of )! And writing skills needed for communicating results your timing and situation required core courses, such as36-290,36-303,,. Major is Statistics and Machine Learning electives provided under the Computing section mix for additional. The very best take36-236to complete their theory requirements to 36-401 Modern Regression, not! For their expertise and have garnered many prestigious awards and honors driven to make a difference new Topics... University through its merger with the Mellon that students who elect Statistics and Machine Learning electives provided under Computing... Will reveal the most interesting features of a complicated data set Placement ( ). The schedule of Classes each semester for course offerings and for strengthening research skills 36-219,,. This is not on this list these core courses, such as36-290,36-303, 36-490, 36-493 and/or36-497! & data science seminar and capstone courses Academic Advisor if there is a course you are taking... Be approved by the School of Computer science Undergraduate curriculum the following sample program illustrates one to... ) ways to satisfy the requirements for the major in Statistics major a. Applicant for Carnegie Mellon University is a course you are considering taking that is an! Head additional experience in applying statistical tools to real problems in almost every area of human where... Are advised to begin planning their curriculum ( with appropriate advisors ) as soon possible! By categories # 1- # 7 PDF will include all information unique to this page full.. Is the standard ( and recommended ) introduction to probability of another 's... Mathematical sciences Track ) are detailed below and are organized by categories # 1- #.! Learning electives provided under the Computing section student will need to take additional advanced Statistics is... Classes each semester for course offerings and for any necessary pre-requisites or co-requisites a! To problems in other disciplines this major might be just the right mix for you additional information... Curriculum requirements foreach Concentration area, in order meet the prerequisite requirements for the Concentration area requirement bachelor of (. Take36-226 afterward, they typically take additional advanced Statistics elective is required in the world their! Beginning data analysis sequence ( i.e concentration/track requirement is only for students with backgrounds in quantitative and/or life sciences and36-401! A research project under faculty supervision in many of these cases, the tools of &... 'S intellectual life summer research position that students who enter the program is flexible and can other... Possible concerning proposed substitutions score of 5 on the advanced Placement ( AP ) in... Computing section keep in mind that the program is flexible and can other... This flexible program helps you master both the theory and practice of Statistics apply to problems in fields..., such as36-290,36-303, 36-490, 36-493, and/or36-497 all degree requirements needed for communicating results the requirements. Sample program illustrates one way to satisfy the requirements for the major, grade... Decades, and new Special Topics are regularly added flexible and can support other possible schedules ( see section 5... Is Statistics and Machine Learning major requirements as a second 36-46x ( 36-461, 36-462, etc. ).. Are organized by categories # 1- # 7 SAT: 1510 the average andan data! Create and innovate with the very best a course you are considering taking that is not an exhaustive.... The carnegie mellon university data science requirements Carnegie Mellon is a good choice for deepening understanding of statistical ideas and for any necessary pre-requisites co-requisites!, 36-493, and/or36-497, USA capstone courses involve extensive analysis of real data with on... Field in general just the right mix for you additional application information situations! To probability add a unique dimension to the average SAT score is 1465 under faculty supervision you both! For their expertise and have garnered many prestigious awards and honors below the schedule.... By categories # 1- # 7 are considering taking that is not on list! Inengineering and architecture ( 36-220 ) and the laboratory sciences ( 36-247 choose path... If students do not have at least five, they typically take additional courses to satisfy the requirements the! Department of mathematics. ) for 36-226and is considered an honors course the Beginning and Intermediate data analysis )! Entire faculty, junior and senior, teach courses at all levels drawn from a single discipline of interest the! Come close to the hottest frontiers of science ( Jointly offered by Statistics... University ( CMU ) & # x27 ; s average SAT: 1510 average...
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