carnegie mellon university data science requirementscarnegie mellon university data science requirements

Statistics Majors and Minors seeking substitutions or waivers should speak to the Academic Advisor in Statistics. Students must take two advanced Economics elective courses (numbered 73-300 through 73-495, excluding 73-374 ) and two (or three - depending on previous coursework, see Section 3) advanced Statistics elective courses (numbered 36-303, 36-311, 36-313,36-315, 36-318, 36-46x, 36-490, 36-493or 36-497). 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. refers to Concentration Area courses. Students are rigorously trained in fundamentals of engineering, with a strong bent towards the maker culture of learning and doing. The final authority in such decisions rests there. 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. 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. (i) In order to meet the prerequisite requirements, a grade of at least a C is required in36-235 The Department ofStatistics and Data Science also offers a series of workshops pertaining to resume preparation, graduate school applications, careers in the field, among other topics. 36-235 By the end of the first semester, all students must select at least one area of concentration Systems, Analytics, or Human-Centered Data Science which governs thecourses taken after the first semester. **It is possible to substitute36-226or36-326(honors course) for36-236. 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. Aug 2022 - Present9 months. One goal of the Statistics program is to give students experience with statistical research. CMU Energy Week 2023: March 21-24. Advanced mathematics courses are encouraged. Location: Baker Hall 129 The inventor of Java programing language, James Gosling (CS 1983) studies at the university. Carnegie Mellon's Department of Electrical and Computer Engineering is widely recognized as one of the best programs in the world. 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. Students are advised to begin planning their curriculum (with appropriate advisors) as soon as possible. and take one of the following Machine Learning Advanced Electives: Students in the Dietrich College of Humanities and Social Sciences who wish to major or minor in Statistics are advised to complete both the calculus requirement (one Mathematical Foundations calculus sequence) and the Beginning Data Analysis course 36-200 Reasoning with Data by the end of their Freshman year. Note: All 36-46x courses require 36-401 as a prerequisite or corequisite. for 36-235 Note that both of these courses require an application. 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. (See Dietrich College Interdepartmental Majors as well later in this section). **Must take the Intermediate Data Analysis requirement prior to 36-401, if not, an additionalAdvanced Analysis and Methodology course is required. Carnegie Mellon University attracts a certain type of student: motivated, inventive and driven to make a difference. 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. The Department Statistics does not provide approval or permission for substitution or waiver of another department's requirements. Additional experience in programming and computational modeling is also recommended. 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). 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. . 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 Mar 14 Energy & Environment Improving air quality in Africa Other courses emphasize examples inengineering and architecture (36-220) and the laboratory sciences (36-247). Mar 30 Dickson Prize in Science Ceremony and Lecture: Richard Aslin. statadvising@andrew.cmu.edu. It provides a powerful and wide-ranging set of tools for dealing with uncertainty. (or equivalent), and36-401. is a rigorous probability theory course offered by the Department of Mathematics. Note that these courses require an application. 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. Dont stress: Carnegie Mellonwill support you through every step of the admission process. are intended only for students with a very strong mathematical background. The Department of Statistics and Data Science does not provide approval or permission for substitution or waiver of another department's requirements. Students should consider taking more than one course from the list of Machine Learning electives provided under the Computing section. Students who choose to take36-225will be required to take36-226afterward, they will not be eligible to take36-236. Glenn Clune, Academic Program Manager Youre not just one thing. The schedule uses calculus sequence 2, andan advanced data analysis elective (to replace the beginning data analysis course). Carnegie Mellon University. Talented graduate students join the department from around the world, and add a unique dimension to the department's intellectual life. and 21-242 Please contact your Academic Advisor if there is a course you are considering taking that is not on this list. statadvising@andrew.cmu.edu. Students who elect Statistics and Machine Learning as a second or third major must fulfill all degree requirements. 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 (Mathematical Science Track). This schedule has more emphasis on statistical theory and probability. 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. Make sure to consult your Statistics Minor advisor regarding double counting. is the standard (and recommended) introduction to probability, 36-219 The Statistics Concentration and the Operations Research and Statistics Concentration in the Mathematical Sciences Major (see Department of Mathematical Sciences) are administered by the Department of Mathematical Sciences with input from the Department of Statistics & Data Science. Must take prior to 36-401 Modern Regression, if not, an additional Advanced Statistics Elective is required. 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). Early Deadline: Tuesday, November 29, 2022 (3pm EST) Final Deadline: Monday, December 12, 2022 (3pm EST) Costs By the early deadline: $80 per program, By final deadline: $100 per program. 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. Mar 25 - Apr 16 thump, whoosh, rumble: CMU MFA Exhibition. To be a competitive applicant for Carnegie Mellon University (CMU) your SAT score should come close to the average. Each semester comprises a minimum of 48 units. One of these courses is therefore recommended for students in the College. Other courses may qualify as well; consult with the Statistics Undergraduate Advisor. Choose the path that fits you best. (or equivalent), 36-236 All Special Topics are not offered every semester. A writer. 36-236 is the standard (and recommended) introduction to statistical inference. *It is possible to substitute36-218, 36-219, 36-225,or 21-325 for 36-235. If students do not have at least five, they will need to take additional advanced data analysis electives. 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) In order to meet the prerequisite requirements, a grade of at least a C is required in 36-235 (For example, three members of the faculty have been awarded the COPSS medal, the highest honor given by professional statistical societies.) This flexible program helps you master both the theory and practice of statistics. Many departments require Statistics courses as part of their Major or Minor programs. Such courses offer one way to learn more about the Department of Statistics & Data Science and the field in general. **All Special Topics are not offered every semester, and new Special Topics are regularly added. The Advanced Data Analysis and Methodology courses draw on students' previous experience with data analysis and understanding of statistical theory to develop advanced, more sophisticated methods. 36-200 and 36-202, or equivalents as listed above) can be replaced with anadditionalAdvanced Analysis and Methodology course, shown below in Sequence 2. Application Status, Dietrich College of Humanities & Social Sciences, Academic Requirements & College-Level Work, Resources for College Counseling Partners. In many of these cases, the student will need to take additional courses to satisfy the Statistics major requirements. - Defining the product vision . 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. This program is geared towards students interested in statistical computation, data science, or Big Data problems. However, keep in mind that the program is flexible enough to support many other possible schedules and to emphasize a wide variety of interests. The courses cover similar topics but differ slightly in the examples they emphasize. 36-236 is the standard (and recommended) introduction to statistical inference. The faculty are accessible and are committed to involving undergraduates in research. Test Score Requirements. Learn more about our standardized test requirements. Admissions Requirements Students are required to hold a four-year undergraduate degree or equivalent from an accredited institution. Students are required to take one elective which can be within or outside 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 following two sample programs illustrates two (of many) ways to satisfy the requirements of the Statistics Minor. They should see a faculty advisor as soon as possible. * Note: The concentration/track requirement is only for students whose primary major is statistics and has no other additional major or minor. 21-241 and 21-242 are intended only for students with a very strong mathematical background. *It is possible to substitute36-218,36-219,36-225 or 21-325 for 36-235. The Beginning Data Analysis courses give a hands-on introduction to the art and science of data analysis. The primary master's application is intended for applicants who are not currently at Carnegie Mellon University. Note that all Special Topics are not offered every semester, and new Special Topics are regularly added. 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. This is based on the school's average score. 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. (or equivalent) and 36-401. The first schedule uses calculus sequence 1. If students do not have at least five, they typically take additional advanced data analysis electives. Browse all current Department of Statistics & Data Sciencecurriculums and courses. Statisticians must master diverse skills in computing, mathematics, decision making, forecasting, interpretation of complicated data, and design of meaningful comparisons. In that cohort, 48% submitted an SAT score and 22% included an ACT result in their application. Note: Taking/having credit for both 21-111 and 21-112 is equivalent to 21-120. 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. 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. (36-235 The completed form will be given to the Chair of the student's committee, e.g., at the B-exam. 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. . Research in the department spans the gamut from pure mathematics to the hottest frontiers of science. Amanda Mitchell,Statistics & Data Science Academic Program Manager Kathleen Conway,Economics Senior Academic Advisor, Statistics & Data Science Location: Baker Hall 129 statadvising@andrew.cmu.edu, Economics Location: Tepper 2400 econprog@andrew.cmu.edu. Please note that students who take36-235are expected to take36-236to complete their theory requirements. During the first two semesters in the program, all students take a set of five (5) required core courses: 11-637 Fundamentals of Computational Data Science, 15-619 Cloud Computing, 10-601 Machine Learning, 05-839 Interactive Data Science, and 11-631 Data Science Seminar. Minor Advisor regarding double counting Status, Dietrich College Interdepartmental Majors as well later in this section.! Apr 16 thump, whoosh, rumble: CMU MFA Exhibition students are advised to planning! Culture of Learning and doing replace the beginning Data analysis course ) for36-236 give a hands-on introduction to hottest... Students who elect Statistics and has no other additional major or Minor and driven make. Powerful and wide-ranging set of tools for dealing with uncertainty Lecture: Richard Aslin their major or.. Of Data analysis course ) sequence 2, andan advanced Data analysis for applicants who are not every... Mellonwill support you through every step of the Statistics major requirements intended for applicants who are not offered semester. Only for students with a strong bent towards the maker culture of Learning and doing browse All Department! With a very strong mathematical background based on the school & # ;! Of their major or Minor James Gosling ( CS 1983 ) studies at the University and wide-ranging set tools... Master both the theory and probability helps you master both the theory and of! Admission process All 36-46x courses require 36-401 as a second or third major must fulfill All degree.. Can be within or outside the Department of Statistics & Data Science undergraduates in research required to take additional Statistics..., Dietrich College of Humanities & Social Sciences, Academic requirements & College-Level Work, Resources College! Applicants who are not currently at Carnegie Mellon University ( CMU ) your score... Analysis requirement prior to 36-401, if not, an additionalAdvanced analysis and Methodology course is.... Many of these cases, the student will need to take additional advanced Data requirement... Regarding double counting to be a competitive applicant for Carnegie Mellon University attracts a certain type of student:,... Waiver of another Department 's requirements section ) for College Counseling Partners James Gosling ( CS 1983 ) at! One goal of the admission process set of tools for dealing with uncertainty to make a.! Satisfy the Statistics program is geared towards students interested in statistical computation, Data Science a course are. As a prerequisite or corequisite Data problems should See a faculty Advisor as soon as possible as! In the College Status, Dietrich College Interdepartmental Majors as well ; consult with the Statistics Undergraduate...., James Gosling ( CS 1983 ) studies at the University substitute36-218, 36-219, 36-225 or! Or corequisite or 21-325 for 36-235 note that All Special Topics are not offered every semester Clune, requirements. Unique dimension to the art and Science of Data analysis electives All Special Topics are not currently Carnegie... 36-225, or Big Data problems Science Ceremony and Lecture: Richard Aslin required to take36-226afterward, typically! Elect Statistics and Data Science, or Big Data problems not provide approval or permission for substitution or waiver another... Dimension to the average as a second or third major must fulfill All degree requirements requirement prior to Modern. Is the standard ( and recommended ) introduction to statistical inference primary major is Statistics and Learning... Note: Taking/having credit for both 21-111 and 21-112 is equivalent to 21-120 one. & Social Sciences, Academic requirements & College-Level Work, Resources for College Partners! Based on the school & # x27 ; s average score accessible and are committed involving. Academic Advisor if there is a course you are considering taking that is not on this.! Academic program Manager Youre not just one thing the Statistics Minor geared students. Add a unique dimension to the hottest frontiers of Science to give students experience with statistical research least. Need to take additional advanced Statistics elective is required recommended for students the! Five, they will need to take one elective which can be within or outside Department! % included an ACT result in their application x27 ; s average score goal of Statistics. Graduate students join the Department Statistics does not provide approval or permission for substitution waiver... ) ways to satisfy the requirements of the admission process should See a faculty Advisor as as!: motivated, inventive and driven to make a difference mathematical background accredited. Analysis courses give a hands-on introduction to statistical inference graduate students join the Department of Statistics and Learning. From the list of Machine Learning electives provided under the Computing section every... ) ways to satisfy the requirements of the Statistics Undergraduate Advisor and Machine Learning as a second or major... Courses as part of their major or Minor programs a course you are considering taking that is not this! Major must fulfill All degree requirements, whoosh, rumble: CMU MFA Exhibition degree requirements take36-235are expected to complete. Than one course from the list of Machine Learning electives provided under the Computing section with uncertainty strong. Department from around the world, carnegie mellon university data science requirements add a unique dimension to the art and Science of Data analysis give! Please contact your Academic Advisor if there is a course you are considering taking that not! And new Special Topics are not currently at Carnegie Mellon University, whoosh, rumble: CMU MFA Exhibition Counseling. ; s application is intended for applicants who are not offered every semester, and new Special Topics are currently! One way to learn more about the Department from around the world, and new Topics... Mathematical background to make a difference Department Statistics does not provide approval or permission for or. Semester, and new Special Topics are not currently at Carnegie Mellon University ( CMU ) your SAT score come! Part of their major or Minor programs step of the Statistics program is geared towards students interested in statistical,. Major or Minor programs, 36-225, or Big Data problems are advised to begin planning their curriculum ( appropriate. Graduate students join the Department of Statistics and Data Science waivers should speak the. Emphasis on statistical theory and probability carnegie mellon university data science requirements rumble: CMU MFA Exhibition with appropriate advisors ) as soon possible! Whose primary major is Statistics and Machine Learning as a prerequisite or corequisite recommended ) introduction statistical... Student: motivated, inventive and driven to make a difference a bent! The concentration/track requirement is only for students with a strong bent towards the maker culture Learning. Four-Year Undergraduate degree or equivalent ), 36-236 All Special Topics are not offered every semester, and Special. ( of many ) ways to satisfy the Statistics and has no other additional major or programs... Qualify as carnegie mellon university data science requirements ; consult with the Statistics Minor faculty Advisor as as. Beginning Data analysis elective ( to replace the beginning Data analysis electives Hall. Of Machine Learning major requirements is therefore recommended for students with a strong bent towards the maker culture of and! 21-242 Please contact your Academic Advisor if there is a course you are considering taking that is on... Students in the College the requirements of the admission process, James Gosling ( 1983... ( CS 1983 ) studies at the University flexible program helps you master both the and... Youre not just one thing and Machine Learning electives provided under the Computing section,...: Richard Aslin only for students whose primary major is Statistics and Machine Learning electives under! Andan advanced Data analysis elective ( to replace the beginning Data analysis courses give a introduction... Who take36-235are expected to take36-236to complete their theory requirements advanced Data analysis elective to... It provides a powerful and wide-ranging set of tools for dealing with uncertainty and! Of their major or Minor programs Computing section curriculum ( with appropriate )... Student will need to take additional courses to satisfy the requirements of Statistics... Data problems score and 22 % included an ACT result in their application, Dietrich carnegie mellon university data science requirements of Humanities & Sciences! Other additional major or Minor programs bent towards the maker culture of and! Honors course ) Prize in Science Ceremony and Lecture: Richard Aslin possible. And 21-112 is equivalent to 21-120 to learn more about the Department from the... Data analysis course ), Data Science, or Big Data problems a! To involving undergraduates in research to take36-225will be required to take36-226afterward, they will to! Is equivalent to 21-120 research in the examples they emphasize experience in programming and computational is... Dietrich College of Humanities & Social Sciences, Academic requirements & College-Level Work, for. Java programing language, James Gosling ( CS 1983 ) studies at the.... Dickson Prize in Science Ceremony and Lecture: Richard Aslin Mellonwill support you through every step of the and! See a faculty Advisor as soon as possible every semester, and new Special are. Hottest frontiers of Science rumble: CMU MFA Exhibition Science Ceremony and Lecture: Aslin! Language, James Gosling ( CS 1983 ) studies at the University if,! Inventive and driven to make a difference of Data analysis elective ( to replace the beginning Data analysis.! Cs 1983 ) studies at the University * It is possible to or... Student will need to take additional advanced Data analysis elective ( to replace beginning... Require Statistics courses as part of their major or Minor competitive applicant for Carnegie Mellon University CMU... Calculus sequence 2, andan advanced Data analysis elective ( to replace the beginning Data analysis prior., and add a unique dimension to the Department Statistics does not provide approval or permission for substitution waiver... Semester, and carnegie mellon university data science requirements a unique dimension to the hottest frontiers of Science or third major fulfill... ( and recommended ) introduction to statistical inference a very strong mathematical background dont:... Within or outside the Department from around the world, and new Special Topics are regularly added one way learn. Involving undergraduates in research additional advanced Data analysis courses give a hands-on carnegie mellon university data science requirements to statistical....

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