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. In that cohort, 48% submitted an SAT score and 22% included an ACT result in their application. Application Status, Dietrich College of Humanities & Social Sciences, Academic Requirements & College-Level Work, Resources for College Counseling Partners. 21-241 and 21-242 are intended only for students with a very strong mathematical background. They should see a faculty advisor as soon as possible. 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 Keep in mind that the program is flexible and can support other possible schedules (see footnotes below the schedule). It provides a powerful and wide-ranging set of tools for dealing with uncertainty. Learn more about our standardized test requirements. Carnegie Mellon University attracts a certain type of student: motivated, inventive and driven to make a difference. The Beginning Data Analysis courses give a hands-on introduction to the art and science of data analysis. The Department of Statistics & Data Science at Carnegie Mellon University is world-renowned for its contributions to statistical theory and practice. 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. Requirements The School of Computer Science requires the following for all applications: This is a good choice for deepening understanding of statistical ideas and for strengthening research skills. - Conducting market research to identify customer needs and trends. Students who choose to take36-225will be required to take36-226afterward, they will not be eligible to take36-236. FRIDA, a robotic arm with a paintbrush taped to it, uses artificial intelligence to collaborate with humans on works of art. Students should make available as much information as possible concerning proposed substitutions. In many of these cases, the student will need to take additional courses to satisfy the Statistics major requirements. Students should discuss this with a Statistics advisor when deciding whether to add an additional major in Statistics and Machine Learning. 36-200 and 36-202, or equivalents as listed above) can be replaced with anadditionalAdvanced Analysis and Methodology course, shown below in Sequence 2. The requirements for the Major in Statistics (Mathematical Sciences Track) are detailed below and are organized by categories #1-#7. 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 second schedule is an example of the case when a student enters the program through 36-235 and 36-236 (and therefore skips the intermediate data analysis course). Carnegie Mellon University (CMU)'s average SAT score is 1465. Students who elect Statistics (Mathematical Science Track) as an additional major must fulfill all Statistics(Mathematical Science Track) degree requirements. *It is possible to substitute36-218, 36-219, 36-225,or 21-325 for 36-235. 36-236is the standard introduction to statistical inference. * Note: The concentration/track requirement is only for students whose primary major is statistics and has no other additional major or minor. Where Am I in the Process? Students are required to take one elective which can be within or outside the Department of Statistics and Data Science. Regardless of the timing option, all MCDS students must complete a minimum of 144 units to graduate. Youre a scientist. The courses cover similar topics but differ slightly in the examples they emphasize. If students do not have at least five, they take additional advanced data analysis electives. Students are advised to begin planning their curriculum (with appropriate advisors) as soon as possible. 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. 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. The Mathematical Foundations total is then 48-49 units. *A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement. Students who elect Statistics (Neuroscience Track) as an additional major must fulfill all Statistics (Neuroscience Track) degree requirements. ). Research in the department spans the gamut from pure mathematics to the hottest frontiers of science. If students do not have at least six, they will need to take additional advanced data analysis or ML electives, depending on where the double counting issue is. . 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. Statistical Theory informs Data Analysis and vice versa. Please note that students who complete36-235are expected to take36-236to fulfill their theory requirements. Courses within Statistics can be any 300 or 400 level course (that is not used to satisfy any other requirement for the statistics major). 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. Carnegie Mellon University's Robotics Institute has a new artist-in-residence. In addition, Statistics and Machine Learning majors gain experience in applying statistical tools to real problems in other fields and learn the nuances of interdisciplinary collaboration. Students should consider taking more than one course from the list of Machine Learning electives provided under the Computing section. Students should also take advantage of the Career and Professional Development Center. If a waiver or substitution is made in the home department, it is not automatically approved in the Department of Statistics and Data Science. While not required, students are strongly encouraged to take advantage of professional development opportunities and/or coursework. In addition, Statistics majors gain experience in applying statistical tools to real problems in other fields and learn the nuances of interdisciplinary collaboration. ) and the laboratory sciences (36-247 Note that these courses require an application. In addition, you will need to submit standardized test scores. To apply to the Ph.D. in CS program you need to use the School of Computer Science Online Application. To satisfy the theory requirement take the following two courses: *It is possible to substitute36-218,36-219,36-225, or 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. is a rigorous probability theory course offered by the Department of Mathematics. Choose the path that fits you best. A writer. for 36-235 One of these courses is therefore recommended for students in the College. (i) In order to meet the prerequisite requirements, a grade of at least a C is required in36-235(or equivalent),36-236 36-200 draws examples from many fields and satisfy the DC College Core Requirement in Statistical Reasoning. The department gives students research experience through various courses focused on real-world experiences and application. 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. It is therefore essential to complete this requirement during your junior year at the latest. Throughout the sections of this catalog, we describe the requirements for the Major in Statistics and the different categories within our basic curriculum, followed by the requirements for the Major in Economics and Statistics, the Major in Statistics and Machine Learning, and the Minor in Statistics. Before graduation, students are encouraged to participate in a research project under faculty supervision. In 1967, it became the current-day Carnegie Mellon University through its merger with the Mellon . 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. 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. If you would like to learn more about this program, please schedule an appointment with Deanna Matthews, Associate Department Head for Undergraduate Affairs.. 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. This schedule has more emphasis on statistical theory and probability. 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. Many departments require Statistics courses as part of their Major or Minor programs. 36-200 draws examples from many fields and satisfy the DC College Core Requirement in Statistical Reasoning. (Note: A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement). 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. The department gives students research experience through various courses focused on real world experiences and application. Note: Additional prerequisites are required for some of these courses. Once the concentration area is approved, any changes made to the previously agreed upon coursework require re-approval by the Undergraduate Advisor. Students can also take a second 36-46x (see section #5). The B.S. The requirements for the Major in Statistics and Machine Learning are detailed below and are organized by categories. in Economics and Statistics is jointly advised by the Department of Statistics and Data Science and the Undergraduate Economics Program. 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. 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. 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 accepts 7.26% transfer applicants, which is competitive. 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. Students graduate in May. Students mostly do this through projects in specific courses, such as36-290,36-303, 36-490, 36-493,and/or36-497. (or equivalent) and 36-401. 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. 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. More news from the Center for Atmospheric Particle Studies . Please make sure to consult the Undergraduate Statistics Advisor prior to pursuing courses for the concentration area. Please note that students who complete36-235 are expected to take36-236 to fulfill their theory requirements. If a waiver or substitution is made in the home department, it is not automatically approved in the Department of Statistics and Data Science. The faculty are accessible and are committed to involving undergraduates in research. Students interested in pursuing a PhD in Statistics or Biostatistics (or related programs) after completing their undergraduate degree are strongly recommended to pursue the Mathematical Statistics Track. is the standard (and recommended) introduction to probability, 36-219 Were ready for you, too. The curriculum provides both breadth and depth of training in computational biology, and is built on a solid foundation of biology, computer science, statistics and machine learning (data sciences). Graduates are well positioned for admission to competitive graduate programs, including those in statistics, economics and management, as well as for employment in positions requiring strong analytic and conceptual skills - especially those in economics, finance, education, and public policy. Students are advised to begin planning their curriculum (with appropriate advisors) as soon as possible. Bachelor of Science (Jointly offered by the Undergraduate Economics Program). statadvising@andrew.cmu.edu. Please contact your Academic Advisor if there is a course you are considering taking that is not on this list. Amanda Mitchell, Academic Program Manager The requirements for the B.S. The courses cover similar topics but differ slightly in the examples they emphasize. Statistical modeling in practice nearly always requires computation in one way or another. Sample program 2 is for students who have satisfied the basic calculus requirements and choose option 2 for their data analysis courses (see section #2). The final authority in such decisions rests there. 36-235 is the standard introduction to probability, 36-219 is tailored for engineers and computer scientists, 36-218isa more mathematically rigorous class for Computer Science students and more mathematically advanced Statistics students (Statistics students need advisor approval to enroll),and21-325 is a rigorous Probability Theory course offered by the Department of Mathematics. These core courses involve extensive analysis of real data with emphasis on developing the oral and writing skills needed for communicating results. (or equivalent), 36-236 This program is geared towards students interested in statistical computation, data science, or Big Data problems. 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. To be a competitive applicant for Carnegie Mellon University (CMU) your SAT score should come close to the average. (See Dietrich College Interdepartmental Majors as well later in this section). (Note: A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement). 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 This course applies data science techniques in the context of software . Other courses emphasize examples inengineering and architecture (36-220) and the laboratory sciences (36-247). You arestrongly encouraged to review the detailed curriculum requirements foreach concentration area, in order to determine the best fit given your preparationand background. The Economics and Statistics major would then total 201-211 units. This flexible program helps you master both the theory and practice of statistics. They leave with the passion, connections, credentials and lifelong friends who will help them change the world. Data analysis is the art and science of extracting insight from data. 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. Special Topics rotate and new ones are regularly added. International Applicants College of Fine Arts Applicants Pittsburgh, PA 15213 Please note that students who complete36-235are expected to take36-236to complete their theory requirements. Advancing the state of knowledge across science, engineering, and policy related to particulate matter in the atmosphere and actively influencing related environmental policy. 36-236is the standard (and recommended) introduction to statistical inference. These core courses involve extensive analysis of real data with emphasis on developing the oral and writing skills needed for communicating results. 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. The requirement does not apply for students who pursue an additional major in statistics. 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. To maximize your chances of success in the program, youshould consider which concentration area(s) you are best prepared for, based on youreducational background, work experience, and areas of interest as described in your Statement of Purpose. Faculty, graduate students, and undergraduates interact regularly. Statisticians must master diverse skills in computing, mathematics, decision making, forecasting, interpretation of complicated data, and design of meaningful comparisons. If students do not have at least five, they take additional advanced data analysis electives. 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. If students do not have at least three ECON and three STA classes, they will need to take additional advanced data analysis or economics electives, depending on where the double-counting issue is. The course requirement is at least 4 courses and at least 14 credit hours. 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. Typical Schedule 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. Uncertainty is inescapable: randomness, measurement error, deception, and incomplete or missing information complicate all our lives. One of these courses is therefore recommended for students in the College. and take two of the following courses (one of which must be 400-level): *It is possible to substitute36-218,36-219 **Three years of mathematics should include at least algebra, geometry, trigonometry, analytic geometry, elementary functions as well as pre-calculus. The Major in Economics and Statistics provides an interdisciplinary course of study aimed at students with a strong interest in the empirical analysis of economic data. 36-200 and 36-202, or equivalents as listed above) can be replaced with an, **Must take the Intermediate Data Analysis requirement prior to, Department of Athletics and Physical Education, Department of Athletics and Physical Education Courses, Department of Biomedical Engineering Courses, Department of Chemical Engineering Courses, Department of Civil and Environmental Engineering, Department of Civil and Environmental Engineering Courses, Department of Electrical and Computer Engineering, Department of Electrical and Computer Engineering Courses, Department of Engineering and Public Policy, Department of Engineering and Public Policy Courses, Department of Materials Science and Engineering, Department of Materials Science and Engineering Courses, Department of Mechanical Engineering Courses, Engineering Minors for Non-Engineering Students, Undergraduate Designated Minors in the College of Engineering, College of Fine Arts Interdisciplinary Courses, Minors Offered by the College of Fine Arts, Dietrich College of Humanities and Social Sciences, Institute for Politics and Strategy Courses, Department of Social and Decision Sciences, Department of Social and Decision Sciences Courses, Department of Statistics and Data Science Courses, Dietrich College Interdisciplinary Majors, Dietrich College Interdisciplinary Minors, Dietrich College Interdisciplinary Courses, Heinz College of Information Systems and Public Policy, Department of Biological Sciences Courses, Department of Mathematical Sciences Courses, Minors Offered by the Mellon College of Science, Undergraduate Business Administration Program, Undergraduate Business Administration Program Courses, Carnegie Mellon University-Wide Studies Courses, B.S.
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