Carnegie Mellonhas been mixing it up for decades, and whatever you want to pursue, weve got the right mix for you. 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. 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 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. Students can also pursue an independent study or a summer research position. If a waiver or substitution is made in the home department, it is not automatically approved in the Department of Statistics and Data Science. Updated on Apr 10, 2023 Carnegie Mellon University is a private global research university located in Pittsburgh, USA. These are all tested to perform well with our currently supported Windows, Linuxand macOSoperating systems. Mar 25 - Apr 16 thump, whoosh, rumble: CMU MFA Exhibition. 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. Students are advised to begin planning their curriculum (with appropriate advisors) as soon as possible. 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. In this major students take courses focused on skills in computing, mathematics, statistical theory, and the interpretation and display of complex data. Course Requirements. While both universities offer outstanding programmes, their curricula, admission process, requirements, scholarships, and extracurricular activities differ. Other courses emphasize examples in engineering and Architecture (36-220) and the laboratory sciences (36-247). Learn more about our standardized test requirements. 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. 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. The Bachelor of Science in Economics and Statistics provides an interdisciplinary course of study aimed at students with a strong interest in the empirical analysis of economic data. 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. The requirements for the B.S. Bachelor of Science (Jointly offered by the Undergraduate Economics Program). 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. Youll graduate with the skills to advance the understanding of economic issues, and youll be well prepared to enter fields like economics, finance, public policy and more. Aug 2022 - Present9 months. Such courses offer one way to learn more about the Department of Statistics & Data Science and the field in general. assessment test if an acceptable alternative to completing, *The Beginning and Intermediate Data Analysis sequence (i.e. 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. One goal of the Statistics program is to give students experience with statistical research. Please note that students who complete36-235are expected to take36-236to complete their theory requirements. 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 The Department of Statistics & Data Science curriculum follows both of these threads and helps the student develop the complementary skills required. * Note: The concentration/track requirement is only for students whose primary major is statistics and has no other additional major or minor. 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. 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. Students should also take advantage of the Career and Professional Development Center. - Defining the product vision . The first schedule uses calculus sequence 2. Each semester comprises a minimum of 36 units. Carnegie Mellon Admissions - SAT, ACT, class rank, and GPA The overall mid-50% SAT range for Class of 2025 enrolled students was 1480-1560. 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. It is the language in which statistical models are stated, so an understanding of probability is essential for the study of statistical theory. All three require the same total number of course credits split among required core courses, electives, data science seminar and capstone courses. **Must take the Intermediate Data Analysis requirement prior to 36-401, if not, an additionalAdvanced Analysis and Methodology course is required. The Advanced Data Analysis courses draw on students' previous experience with data analysis and understanding of statistical theory to develop advanced, more sophisticated methods. in Statistics (Mathematical Sciences Track), Recommendations for Prospective PhD Students, Additional Major in Statistics (Mathematical Science Track), B.S. 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. (Note: A score of 5 on the Advanced Placement (AP) Exam in Statistics may be used to waive this requirement). In many of these cases, the student will need to take additional courses to satisfy the Economics and Statistics major requirements. Note that these courses require an application. Please make sure to consult the Undergraduate Statistics Advisor prior to pursuing courses for the concentration area. 36-235 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. 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). 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). 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. This schedule has more emphasis on statistical theory and probability. Statistics Majors and Minors seeking substitutions or waivers should speak to the Academic Advisor in Statistics. Note that both of these courses require an application. These courses are numbered 36-46x (36-461, 36-462, etc.). Data provided by researchers at Carnegie Mellon University and Texas A&M University. They should see a faculty advisor as soon as possible. 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. 21-241 and 21-242 are intended only for students with a very strong mathematical background. Students should consider 36-326 Mathematical Statistics (Honors) as an alternative to 36-236 Students should discuss this with a Statistics advisor when deciding whether to add an additional major in Statistics. 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 . **The linear algebra requirement needs to be complete before taking 36-401 Modern Regression or 36-46X Special Topics. Choose the path that fits you best. 36-200 draws examples from many fields and satisfies the DC College Core Requirement in Statistical Reasoning. Students who choose to take36-225instead will be required to take36-226afterward, they will not be eligible to take36-236. *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. One of these courses is therefore recommended for students in the College. Location: Baker Hall 129 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. 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. Are you ready for Carnegie Mellon? 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