Students should carefully check the course descriptions to determine if additional prerequisites are necessary. It provides a powerful and wide-ranging set of tools for dealing with uncertainty. Mar 25 - Apr 16 thump, whoosh, rumble: CMU MFA Exhibition. 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. Note that these courses require an application. 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 should make available as much information as possible concerning proposed substitutions. 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. *It is possible to substitute36-218,36-219,36-225 or 21-325 for 36-235. ) and the laboratory sciences (36-247 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 entire faculty, junior and senior, teach courses at all levels. The core objective of our undergraduate program is to provide our students with an education that enables them to be productive, impactful, and fulfilled professionals throughout their careers. Submit your application for the Dietrich College of Humanities and Social Sciences. Additional experience in programming and computational modeling is also recommended. *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. Note: All 36-46x courses require 36-401 as a prerequisite or corequisite. The courses cover similar topics but differ slightly in the examples they emphasize. 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 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. and 21-242 In addition, Statistics majors gain experience in applying statistical tools to real problems in other fields and learn the nuances of interdisciplinary collaboration. If students do not have at least five, they will need to take additional advanced data analysis electives. For all these reasons, Statistics & Data Science students are highly sought-after in the marketplace. Note: 21-241 and 21-242 are intended only for students with a very strong mathematical background. Many departments require Statistics courses as part of their Major or Minor programs. Note: Students who enter the program with 36-235 or 36-236 should discuss options with an advisor. They should see a faculty advisor as soon as possible. They are on a rotation and new Special Topics are regularly added. (See Dietrich College Interdepartmental Majors as well later in this section). 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. are intended only for students with a very strong mathematical background. Students can also pursue an independent study, or a summer research position. Note that all Special Topics are not offered every semester, and new Special Topics are regularly added. **Must take the Intermediate Data Analysis requirement prior to 36-401, if not, an additionalAdvanced Analysis and Methodology course is required. 21-325 for 36-235. The courses cover similar topics but differ slightly in the examples they emphasize. Statistics is the science and art of making predictions and decisions in the face of uncertainty. 36-236is the standard (and recommended) introduction to statistical inference. Students should consider taking more than one course from the list of Machine Learning electives provided under the Computing section. Other courses emphasize examples inengineering and architecture (36-220 While these courses are not in Statistics, the concentration area must complement the overall Statistics degree. Students are advised to begin planning their curriculum (with appropriate advisors) as soon as possible. . (Note: A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement). 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. Students who choose to take36-225instead will be required to take36-226afterward, they will not be eligible to take36-236. This program is geared towards students interested in statistical computation, data science, or Big Data problems. Understanding the strengths and weaknesses of various methods allows the data analyst to select the right tool for the job; understanding how they can be adapted to work in new settings greatly extends the realm of problems that he/she can solve. 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. We've got the resources to support you. 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. Statistical issues are central to big questions in public policy, law, medicine, industry, computing, technology, finance, and science. In many of these cases, the student will need to take additional courses to satisfy the Statistics major requirements. Carnegie Mellon accepts 7.26% transfer applicants, which is competitive. The Beginning Data Analysis courses give a hands-on introduction to the art and science of data analysis. 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. Mar 14 Energy & Environment Improving air quality in Africa Students should also take advantage of the Career and Professional Development Center. This is a good choice for deepening understanding of statistical ideas and for strengthening research skills. It is therefore essential to complete this requirement during your junior year at the latest! Carnegie Mellon University. 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). 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. www.stat.cmu.edu/. Students who elect Statistics (Mathematical Science Track) as an additional major must fulfill all Statistics(Mathematical Science Track) degree requirements. If you would like to learn more about this program, please schedule an appointment with Deanna Matthews, Associate Department Head for Undergraduate Affairs.. The faculty are accessible and are committed to involving undergraduates in research. If students do not have at least five, they take additional advanced data analysis electives. The art lies in knowing which displays or techniques will reveal the most interesting features of a complicated data set. CMU is a global leader in creating successful startup businesses. These courses are numbered 36-46x (36-461, 36-462, etc.). Statisticians must master diverse skills in computing, mathematics, decision making, forecasting, interpretation of complicated data, and design of meaningful comparisons. With respect to double-counting courses, it is departmental policy that students must have at least six courses [three Economics (73-xxx) and three Statistics (36-xxx)] that do not count for their primary major. Each semester comprises a minimum of 36 units. statadvising@andrew.cmu.edu. To satisfy the theory requirement take the following two courses**: *It is possible to substitute 36-218, 36-219, 36-225or 21-325 Location: Baker Hall 129 Students pursuing a B.S. The requirements for the Major in Statistics (Mathematical Sciences Track) are detailed below and are organized by categories #1-#7. Students should consider 36-326 Mathematical Statistics (Honors) as an alternative to 36-236 Current research projects are helping make fundamental advances in neuroscience, cosmology, public policy, finance, and genetics. It is therefore essential to complete this requirement during your junior year at the latest. The final authority in such decisions rests there. **It is possible to substitute36-226or36-326(honors course) for36-236. These are all tested to perform well with our currently supported Windows, Linuxand macOSoperating systems. Keep in mind that the program is flexible and can support many other possible schedules. Moreover, statisticians must learn to collaborate effectively with people in other fields and, in the process, to understand the substance of these other fields. Complete one of the following three sequences of mathematics courses at Carnegie Mellon, each of which provides sufficient preparation in calculus: Complete oneof the following three courses: * It is recommended that students complete the calculus requirement during their freshman year. Before graduation, students are encouraged to participate in a research project under faculty supervision. 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). Almost every field of inquiry must grapple with statistical problems, and the tools of statistical theory and data analysis you will develop in the Statistics minor (or Additional Major) will give you a critical edge. Rebecca Nugent, Department Head Research in the department spans the gamut from pure mathematics to the hottest frontiers of science. 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. 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 . Are you ready for Carnegie Mellon? The Department of Statistics & Data Science does not provide approval or permission for substitution or waiver of another department's requirements. is a rigorous Probability Theory course offered by the Department of Mathematics.). The department gives students research experience through various courses focused on real-world experiences and applications. (or equivalent), and 36-401. 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. Other courses emphasize examples inengineering and architecture (36-220) and the laboratory sciences (36-247). Curriculum The curriculum for the Master's in Machine Learning requires 6 core courses, 3 electives, and a practicum. Students who choose to take36-225 instead will be required to take36-226 afterward, they will not be eligible to take 36-236. 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. 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. **All Special Topics are not offered every semester, and new Special Topics are regularly added. 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. Mar 25 Greek Sing. If students do not have at least three, they need to take additional advanced electives. **Three years of mathematics should include at least algebra, geometry, trigonometry, analytic geometry, elementary functions as well as pre-calculus. Admissions Requirements Students are required to hold a four-year undergraduate degree or equivalent from an accredited institution. Updated on Apr 10, 2023 Carnegie Mellon University is a private global research university located in Pittsburgh, USA. (i) In order to meet the prerequisite requirements, a grade of at least a C is required in36-235(or equivalent),36-236 The first schedule uses calculus sequence 1. The Beginning Data Analysis courses give a hands-on introduction to the art and science of data analysis. These situations may have additional application requirements. 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. statadvising@stat.cmu.edu. , 36-225or 21-325 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. Students who maintain a quality point average of 3.25 overall may also apply to participate in the Dietrich College Senior Honors Programto gain research experience. **The linear algebra requirement needs to be complete before taking 36-401 Modern Regression or 36-46X Special Topics. Aug 2022 - Present9 months. 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. (or equivalent), and36-401. In this major students take courses focused on skills in computing, mathematics, statistical theory, and the interpretation and display of complex data. Both aspects require practice to master. They leave with the passion, connections, credentials and lifelong friends who will help them change the world. 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. **It is possible to substitute36-226 or36-326(honors course) for36-236 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. Requirements The School of Computer Science requires the following for all applications: To apply to the Ph.D. in CS program you need to use the School of Computer Science Online Application. However, the Statistics Director of Undergraduate Studies will provide advice and information to the student's advisor about the viability of a proposed substitution. 36-236is the standard introduction to statistical inference. 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