TEPPER MASTERS PROGRAMS
Master of Business Administration—MBA
This is primarily a two-year, full-time program, with almost all students completing an internship in the summer between the first and second year of study. An early graduation option is available in some cases, which allows full-time students to complete their studies in 16 months, but tuition is not decreased. Working professionals in the Pittsburgh area may also complete the MBA degree in the evening through the three-year flex-time program. The FlexMBA program allows professionals who are unable to attend weekly, on-campus classes to earn the same MBA as our full-time and part-time students through a flexible, part-time online and on-site curriculum.
Online Master of Science in Business Analytics
The flexible online MSBA is geared to individuals with technical backgrounds who want to deepen their analytical skills to efficiently and effectively solve business problems. Students position themselves for advancement in this rapidly expanding field by 1) developing proficiency in the top programming languages and full range of advanced analytics techniques; 2) learning how to tell stories through and extract insights from data; and 3) gaining critical business knowledge. The predominantly-online, instructor-led program includes up to four rich, value-added on-campus visits structured to accommodate working professionals. This part-time, online MSBA can be completed in 18 email@example.com
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Integrated Innovation for Products & Services [with CIT, CFA and Tepper]—MII-PS
The one-year professional degree in integrated innovation is offered by the Integrated Innovation Institute at Carnegie Mellon. The Integrated Innovation Institute is a unique academic, research, and executive education entity that is jointly supported by the Carnegie Institute of Technology (the College of Engineering), the College of Fine Arts' School of Design, and the Tepper School of Business. The Master of Integrated Innovation degree focuses on the creation of products, services and interactive experiences that define new product opportunities that exceed user value expectations. The program excels at providing engineers, designers, business students and those in related fields, the skills and knowledge to become elite innovators.
Computational Finance - MSCF
The MSCF program focuses on the use of quantitative methods and information technology in the field of finance. The curriculum provides an in-depth understanding of the mathematics used to model security prices, the statistical tools needed to summarize and predict the behavior of financial data and the predominant programming languages used in the industry, preparing students for careers in risk management, trading, and asset management. The program can be completed in sixteen months (full-time) at either the Pittsburgh or New York City campus.
MBA and Juris Doctor [with the University of Pittsburgh School of Law]—MBA/J.D.
Many lawyers need to draw heavily on management skills, and many business practitioners need knowledge of law. In response, Tepper and the University of Pittsburgh School of Law have designed a rigorous four-year, dual-degree program in which students earn both the J.D. and MBA. Interested candidates must apply and be admitted to both the MBA program and the University of Pittsburgh School of Law.
MBA and Software Engineering [with SCS]—MBA/M.S.E.
The Master of Business Administration and Master of Software Engineering (MBA/M.S.E.) is a six-semester program that starts each year in August. The focus of the dual-degree program is to develop the technical and the managerial skills needed for software design, development, engineering and implementation. This dual-degree program is designed for exceptionally strong candidates for either the MBA or the M.S.E. programs. Each applicant must have engineering/science backgrounds, and must apply and be admitted to both the MBA and the M.S.E. programs. Candidates must take both the Graduate Management Admissions Test and the Graduate Record Examination. The completion date cannot be accelerated; students must remain in residence at Carnegie Mellon for the seven semesters of the program.
TEPPER DOCTORAL PROGRAMS
This program prepares students to conduct original, creative research that will add to the general knowledge of accounting, providing rigorous training in accounting and the related disciplines of economics, behavior science, finance, production, statistics, mathematics and other social science research methods. Most accounting research at Tepper is grounded in economics, but students may take courses in mathematics, probability and statistics, econometrics and experimental design, which prepare them to conduct both theoretical and empirical research.
The BT program provides students with a firm understanding of the technical and organizational aspects of computer-based systems, as well as the analytical and empirical skills with which to contribute to basic, scientific knowledge in the discipline. Students in the program master the core material, gain exposure to the broader aspects of information systems and concentrate in at least one specialized area of BT (e.g., electronic commerce, software development productivity or economics of information systems).
This program educates scientists who will advance the frontiers of economic knowledge through research and teaching. The program is designed to provide students with sound training in economic theory and the quantitative tools required for innovative research on economic problems. The program is also structured to allow students both time and guidance for research activities.
This program educates students in the concepts and analytical techniques needed to understand and advance the frontiers of knowledge in financial economics, providing sound training in economics, finance and quantitative methods, and the opportunity to work closely with faculty on original research. This training typically leads to academic careers in major business schools and economics departments.
The intent of this program is to produce leading scholars and researchers who are well grounded in the basic disciplines underlying marketing thought, and who understand and practice the state of the art in marketing. A set of basic courses in marketing provides a solid background in fundamental marketing problems such as product design, strategy, management, marketing communications, buyer behavior and marketing research. In addition to computer science, psychology and decision sciences, the university offers excellent programs in other disciplines related to marketing (such as statistics), and Tepper itself contains excellent resources in areas such as operations research, economics and organizational behavior and theory.
Operations Management —Ph.D.
This program’s goal is to train researchers and future faculty to develop scientific solutions to the problems currently being faced by operations managers. The area covers a broad range of topics as found in: supply chain management; internet applications and e-commerce; logistics; international operations; inventory control; scheduling; just-in-time manufacturing; kanban systems; interface of design and manufacturing; interface of manufacturing with information systems and marketing; new product development; learning and human resource practices in manufacturing organizations; automation and computer integrated manufacturing; quality management; activity based costing; and other interdisciplinary aspects of plant operations and shop floor control. Faculty research interests range from quantitative modeling to empirical studies using tools from operations research, mathematical programming, applied stochastic processes, simulation, artificial intelligence, statistics and econometrics.
Operations research is the study of mathematical methods, usually implemented by computer programs, that can be used in solving managerial decision problems. A major goal of the program is to train students to recognize operations research problems in real-world situations, and to give them the opportunity to learn about the implementation of operations research models in one or more of these substantive areas. Each student must choose an area of concentration for the minor requirement (e.g., Probability and Statistics, Mathematics, Computer Science, Operations Management or Economics).
Organizational Behavior and Theory—Ph.D.
The goal of this program is to produce scientists who will make significant research contributions to the general understanding of the structure and functioning of organizations and of the behavior of individuals and groups in organizations. The program is designed to permit a very close learning relationship among students and faculty. The opportunities for interaction with faculty and students in other Carnegie Mellon graduate departments (e.g., Heinz School of Public Policy and departments of Psychology, Social and Decision Sciences and Statistics), the small size of the program and its flexibility allow students to individualize their learning experiences and to develop programs that fit their goals.
Algorithms, Combinatorics and Optimization [with MCS and SCS]—Ph.D.
The focus of this program is on the design of efficient algorithms for problems arising in computer science and operations research, and on the mathematics required to analyze these algorithms and problems. The program brings together the study of the mathematical structure of discrete objects and the design and analysis of algorithms in areas such as graph theory, combinatorial optimization, integer programming, polyhedral theory, computational algebra, geometry and number theory.
Behavioral Economics [with Dietrich College of Humanities and Social Sciences] —Ph.D.
The joint Ph.D. program in Behavioral Economics is the first Ph.D. program of its kind and integrates insights from Psychology into Economics. The field of Behavioral Economics was pioneered by our own Carnegie Mellon faculty Herb Simon (a Nobel Prize winner in Economics) and George Loewenstein. While behavioral economics started as a small movement in the 1970s, it has made an enormous impact on academic research and research in Behavioral Economics papers regularly appears in the top Economics journals. Behavioral Economics research has been used to help governments enact better public policy and operate more efficiently, to help businesses improve their profitability, and to help individuals make better decisions. This program builds on the world-renowned Behavioral Economics faculty from the Department of Social and Decision Sciences and the outstanding Economics faculty from the Tepper School of Business.
Economics and Public Policy [with Heinz]—Ph.D.
This program is jointly offered by Carnegie Mellon’s Heinz School and Tepper School of Business. Students in this program will obtain in-depth training in economics, quantitative methods and substantive policy areas. Students in the joint program must be admitted into both Heinz’s Public Policy and Management Ph.D. program and Tepper’s Economics program. However, to ease the administrative burden on the applicant, he or she need only submit one application to either program.
Management of Manufacturing and Automation [with Robotics Institute]—Ph.D.
This program gives qualified students a total-system perspective on manufacturing issues. The program is particularly useful for students interested in gaining a perspective that integrates management, engineering and computer science to solve the new challenges of design, planning, operation (including real-time control) and evaluation of modern and automated manufacturing systems and industries. Students work with faculty from both Tepper and the Robotics Institute on projects that involve faculty from both areas. The interdisciplinary focus allows students to work closely on issues in accounting, finance, economics and marketing, and the ways in which they affect the design and operation of modern manufacturing facilities.
Strategy, Entrepreneurship and Technological Change [with CIT, Heinz and H&SS]—Ph.D.
This joint program spans four colleges at Carnegie Mellon: Tepper, Heinz, H&SS (Department of Social and Decision Sciences) and CIT (Department of Engineering and Public Policy). Students receive training in the areas of firm strategy, entrepreneurship and technological change, with an emphasis on analytic modeling. Coursework draws from a number of disciplines and areas, including economics, history, statistics, organizational behavior, entrepreneurship and firm strategy.