The most up-to-date information on CMU's COVID-19 mitigation requirements can be found here . This schedule has more emphasis on statistical theory and probability. The linear algebra requirement is a prerequisite for the course 36-401. The faculty are accessible and are committed to involving undergraduates in research. This is a good choice for deepening understanding of statistical ideas and for strengthening research skills. **It is possible to substitute36-226or36-326(honors course) in place of36-236. *A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement. Carnegie Mellon accepts 7.26% transfer applicants, which is competitive. 36-235 is the standard (and recommended) 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 (students need advisor approval to enroll), and 21-325 is a rigorous probability theory course offered by the Department of Mathematics. 36-236 is the standard (and recommended) introduction to statistical inference. The first schedule uses calculus sequence 2. (Note: A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement). If you would like to learn more about this program, please schedule an appointment with Deanna Matthews, Associate Department Head for Undergraduate Affairs.. 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. If students do not have at least five, they will need to take additional advanced data analysis electives. This is particularly true if the other major has a complex set of requirements and prerequisites or when many of the other major's requirements overlap with the requirements for a Major in Economics and Statistics. is tailored for engineers and computer scientists, 36-218is a more mathematically rigorous class for Computer Science students and more mathematically advanced (students need advisor approval to enroll),and 21-325 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. (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 Bachelor of Science (Jointly offered by the Undergraduate Economics Program). These core courses involve extensive analysis of real data with emphasis on developing the oral and writing skills needed for communicating results. It is therefore essential to complete this requirement during your junior year at the latest. Other courses emphasize examples inengineering and architecture (36-220) and the laboratory sciences (36-247). Computational algorithms are sometimes treated as black-boxes, whose innards the statistician need not pay attention to. 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. or 36-236 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. Students who choose to take36-225will be required to take36-226afterward, they will not be eligible to take36-236. The requirements for the Major in Statistics and Machine Learning are detailed below and are organized by categories. The power of Statistics, and much of the fun, is that it can be applied to answer such a wide variety of questions in so many different fields. are intended only for students with a very strong mathematical background. Students who elect Statistics (Mathematical Science Track) as an additional major must fulfill all Statistics(Mathematical Science Track) degree requirements. The Department augments all these strengths with a friendly, energetic working environment and exceptional computing resources. International Applicants College of Fine Arts Applicants Carnegie Mellonhas been mixing it up for decades, and whatever you want to pursue, weve got the right mix for you. *In each semester, "-----" represents other courses (not related to the major) which are needed in order to complete the 360 units that the degree requires. Students can also take a second 36-46x (see section #5). The comprehensive curriculum includes advanced analytics coursework in machine learning, structured and unstructured data analytics and predictive modeling. The Intermediate Data Analysis courses build on the principles and methods covered in the introductory course, and more fully explore specific types of data analysis methods in more depth. The science lies in understanding the various techniques and the assumptions on which they rely. * These courses can be amended later but must be re-approved by the Statistics Undergraduate Advisor if amended. In many of these cases, the student will need to take additional courses to satisfy the Economics and Statistics major requirements. Advancing the state of knowledge across science, engineering, and policy related to particulate matter in the atmosphere and actively influencing related environmental policy. In addition this number includes the 36 units of the Concentration Area category which may not be required (see category 7 above for details). An artist. To submit the application, you'll need to do the following: answer required questions within the online application form upload required essay and rsum register each recommender's name and email address enter test date and registration number for any required standardized test (s) 36-326is not offered every semester/year but can be substituted for 36-226and is considered an honors course. Many departments require Statistics courses as part of their Major or Minor programs. www.stat.cmu.edu/. 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. 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. To satisfy the theory requirement take the following two courses**: *It is possible to substitute 36-218, 36-219, 36-225or 21-325 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. Your application plan depends on your timing and situation. Make sure to consult your Statistics Minor advisor regarding double counting. Mar 6 - Dec 1 Inventing Shakespeare: Text, Technology, and the Four Folios Exhibit. 21-325 for 36-235. 36-235 is the standard (and recommended) 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 (students need prior approval to enroll), and 21-325 is a rigorous probability theory course offered by the Department of Mathematics. At Carnegie Mellon, the Chemical Engineering curricula brings together a deep understanding of molecular properties and process design to develop energy-efficient and sustainable manufacturing processes. 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. 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. Designed for those with a strong interest in the empirical analysis of economic data, this program will give you a solid foundation in the theories and methods of both data science and economics. 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. Regardless of the timing option, all MCDS students must complete a minimum of 144 units to graduate. *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. Any 36-300 or 36-400 level course in Data Analysis that does not satisfy any other requirement for the Economics and Statistics Major may be counted as a Statistical Elective. Both majors and non-majors are welcome. Students in the 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 by the end of their Freshman year. We've got the resources to support you. (or equivalent), 36-236 Please note that students who complete36-235are expected to take36-236to fulfill their theory requirements. They leave with the passion, connections, credentials and lifelong friends who will help them change the world. 412-268-2000. Mar 14 Energy & Environment Improving air quality in Africa Statistical Theory informs Data Analysis and vice versa. Note: Additional prerequisites are required for some of these courses. To satisfy the theory requirement take the following two courses: *It is possible to substitute36-218,36-219,36-225, or Each semester comprises a minimum of 36 units. 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. The courses cover similar topics but differ slightly in the examples they emphasize. Students who elect Statistics as a second or third major must fulfill all Statistics degree requirements except for the Concentration Area requirement. You arestrongly encouraged to review the detailed curriculum requirements foreach concentration area, in order to determine the best fit given your preparationand background. Please note that students who take36-235are expected to take36-236to complete their theory requirements. Note: All 36-46x courses require 36-401 as a prerequisite or corequisite. The requirements for the Major in Statistics (Neuroscience Track) are detailed below and are organized by categories #1-#7. Social Media Directory, Engineering Statistics and Quality Control, Experimental Design for Behavioral & Social Sciences, Introduction to Statistical Research Methodology, Statistics of Inequality and Discrimination, Special Topics: Statistical Methods in Epidemiology, Special Topics: Methods of Statistical Learning, Special Topics: Multilevel and Hierarchical Models, Special Topics: Applied Multivariate Methods, Special Topics: Conceptual Foundations of Statistical Learning, Special Topics: Statistical Methods in Finance, Special Topics: Statistical Genomics and High Dimensional Inference, Fundamentals of Programming and Computer Science, Introduction to Machine Learning (Undergrad), Introduction to Machine Learning (SCS Majors), Research Methods in Developmental Psychology, Introduction to Parallel Distributed Processing, *Students who place out of 73-102 based on the economics placement exam will receive a pre-req waiver for 73-102 and are waived from taking 73-102, Professional Communication for Economists, Machine Learning with Large Datasets (Undergraduate), Machine Learning for Text and Graph-based Mining, Artificial Intelligence: Representation and Problem Solving, Total number of units required for the minor. Sylvie Aubin, Undergraduate Academic Advisor is a rigorous Probability Theory course offered by the Department of Mathematics. . Our students graduate with the ability to solve complex problems that can improve existing chemical products and lead to the creation of new ones. Students pursuing an additional major in Science, Technology and Public Policy (STPP) must complete three sets of requirements: courses for the STPP additional major, courses for their traditional disciplinary major . One goal of the Statistics program is to give students experience with statistical research. 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. 36-236 is the standard (and recommended) introduction to statistical inference. 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. Students should consider taking more than one course from the list of Machine Learning electives provided under the Computing section. (Note: A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement). Students should make available as much information as possible concerning proposed substitutions. This timing is typical for most students. World-renowned for its contributions to statistical theory and practice, the Department of Statistics & Data Science is where imaginatively logical problem-solvers work collaboratively across disciplines, applying statistical tools to real-world challenges. and 21-242 Carnegie Mellon University's Robotics Institute has a new artist-in-residence. Research in the department spans the gamut from pure mathematics to the hottest frontiers of science. Amanda Mitchell,Academic Program Manager, Location: Baker Hall 129 Keep in mind that the program is flexible and can support other possible schedules (see footnotes below the schedule). Students who elect Statistics and Machine Learning as a second or third major must fulfill all degree requirements. 36-200 and 36-202, or equivalents as listed above) can be replaced with anadditionalAdvanced Analysis and Methodology course, shown below in Sequence 2. Carnegie Mellon University shall abide by the requirements of 41 CFR 60-1.4(a), 60-300.5(a) and 60-741.5(a). The faculty members are recognized around the world for their expertise and have garnered many prestigious awards and honors. 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. Students graduate in May. is a rigorous Probability Theory course offered by the Department of Mathematics.) Course Requirements. In many of these cases, the student will need to take additional courses to satisfy the Statistics major requirements. While these courses are not in Statistics, the concentration area must complement the overall Statistics degree. in Computer Science must take a minimum of 360 units in the following categories: Computer Science, Mathematics/Probability, Engineering and Natural Sciences, Humanities and Arts, Required Minor, Computing @ Carnegie Mellon and Free Electives. An MS Degree in Data Analytics and Quantitative Analysis from the Carnegie Mellon University has consistently made its place among the top global universities. Students who choose to take36-225instead will be required to take36-226afterward, they will not be eligible to take36-236. 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. They are on a rotation and new Special Topics are regularly added. 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. (or equivalent), and 36-401. Please note that students who complete36-235 are expected to take36-236 to fulfill their theory requirements. Students mostly do this through projects in specific courses, such as36-290,36-303, 36-490, 36-493, and/or36-497. The primary master's application is intended for applicants who are not currently at Carnegie Mellon University. Students are advised to begin planning their curriculum (with appropriate advisors) as soon as possible. CMU Energy Week 2023: March 21-24. Were ready for you, too. Leading-Edge Curriculum The online MSBA can be completed in 20 months and provides students with leading-edge knowledge, skills and experiential training in these areas: Methodology including machine learning and optimization Software Engineering including large-scale data management and programming in R and Python 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 that cohort, 48% submitted an SAT score and 22% included an ACT result in their application. Students are required to take one elective which can be within or outside the Department of Statistics and Data Science. Indeed, the tools of Statistics apply to problems in almost every area of human activity where data are collected. Research in the department spans the gamut from pure mathematics to the hottest frontiers of science. Location: Baker Hall 129 . 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. For all these reasons, Statistics & Data Science students are highly sought-after in the marketplace. (i) In order to meet the prerequisite requirements, a grade of at least a C is required in36-235(or equivalent),36-236 . . These courses are numbered 36-46x (36-461, 36-462, etc.). Additional courses to consider are 21-228 Discrete Mathematics, 21-260 Differential Equations, 21-341 Linear Algebra, 21-355 Principles of Real Analysis I, and 21-356 Principles of Real Analysis II. Each semester comprises a minimum of 48 units. The Department of Statistics and Data Science does not provide approval or permission for substitution or waiver of another department's requirements. However, the Statistics Director of Undergraduate Studies will provide advice and information to the student's advisor about the viability of a proposed substitution. The program is geared toward students interested in statistical computation, data science, and "big data" problems. 36-236is the standard (and recommended) introduction to statistical inference. **It is possible to substitute36-226or36-326(honors course) for36-236. The courses cover similar topics but differ slightly in the examples they emphasize. Note that both of these courses require an application. 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. 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. Note: Students who enter the program with 36-235 or 36-236 should discuss options with an advisor. Students can also pursue an independent study or a summer research position. Special Topics rotate and new ones are regularly added. 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. 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. All three require the same total number of course credits split among required core courses, electives, data science seminar and capstone courses. The Advanced Data Analysis courses draw on students' previous experience with data analysis and understanding of statistical theory to develop advanced, more sophisticated methods. (Note: A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement). 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