School of Computer Science-Graduate Education - Carnegie Mellon University

School of Computer Science (SCS)

COMPUTER SCIENCE

ENTERTAINMENT TECHNOLOGY CENTER

HUMAN-COMPUTER INTERACTION INSTITUTE

INSTITUTE FOR SOFTWARE RESEARCH

LANE CENTER FOR COMPUTATIONAL BIOLOGY

LANGUAGE TECHNOLOGIES INSTITUTE

MACHINE LEARNING DEPARTMENT

ROBOTICS INSTITUTE


COMPUTER SCIENCE

Computer Science—M.S.

The Master of Science program in Computer Science offers students with a Bachelor's degree the opportunity to improve their training with advanced study in Computer Science. We cater to students with basic analytic skills and a strong aptitude for mathematics, programming, and logical reasoning. An undergraduate degree in computer science is not required.

http://www.csd.cs.cmu.edu/education/master/index.html
412-268-8824

Computer Science—Ph.D.

This program is for those who wish to pursue an academic or research career in computer science. Students take courses and conduct applied and theoretical research in algorithms and complexity, artificial intelligence, hardware and software systems, and programming languages. Within our collaborative, hands-on and highly interdisciplinary research environment, students have a supreme opportunity to push the frontiers of computing. A dual degree Pittsburgh-Portugal PhD program in Computer Science is also offered.

www.csd.cs.cmu.edu
412-268-3863

Center for the Neural Basis of Cognition Training Program: An Option for Computer Science Graduate Students

The Center for the Neural Basis of Cognition Training Program is an interdisciplinary graduate training program operated jointly by Carnegie Mellon University and the University of Pittsburgh. Affiliated departments include Computer Science, Robotics, Machine Learning, Psychology, Statistics, and Biomedical Engineering at Carnegie Mellon, and Neuroscience, Neurobiology, Psychology, Mathematics, and BioEngineering at the University of Pittsburgh. The CNBC has offices and laboratory space in CMU's Mellon Institute, strategically located between the campuses of the two universities, and in the Biomedical Science Tower at the University of Pittsburgh. Participating faculty in the School of Computer Science are John Anderson, Tai Sing Lee, Tom Mitchell, and David Touretzky.

Course of Study

The CNBC program is designed to allow students to combine intensive training in a "home" department with broad exposure to other disciplines that touch on neural computation and problems of higher brain function. Students in the CNBC track take a sequence of four core courses in neurophysiology, systems neuroscience, computational modeling, and cognitive neuropsychology. For students in the Computer Science Ph.D. program, these courses take the place of three CS elective core units. For Robotics Ph.D. students, they serve as the "specialized qualifier". Students also participate in a research seminar series and attend a monthly colloquium series.

The IGERT (Integrative Graduate Education and Research Training) track offers a more intense training experience in which students acquire core competence in another discipline by working part time in a mentor's lab. For example, a Computer Science student whose research focus is neuronal modeling could work half time for a year in a neurophysiology lab, learning to do multiunit recording from behaving animals. Or a Robotics student doing research on algorithms for processing magnetic resonance imaging data could receive training in imaging work and participate in
the design and running of an actual imaging study. Course requirements for students in the IGERT track are individually tailored to meet their specific training needs.

How to Apply

A regular application to the Computer Science, Machine Learning or Robotics doctoral program should be submitted as a first step. In addition, students should apply to the Center for the Neural Basis of Cognition for admission to the CNBC training program, contingent on their acceptance into an affiliated doctoral program. The two applications are normally submitted simultaneously, but students who are already enrolled in a doctoral program may still to apply to the CNBC program. See "Instructions".

Please visit the Center for the Neural Basis of Cognition for additional information.

Doctoral Program in Algorithms, Combinatorics and Optimization

This unique interdisciplinary doctoral program in Algorithms, Combinatorics and Optimization draws on Carnegie Mellon's strengths in all three areas. It is sponsored jointly by the Tepper School of Business (Operations Research group), the School of Computer Science (Algorithms and Complexity group) and the Mathematics Department (Discrete Mathematics group). 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. This integration of the study of structure and its uses in computation theory is a central theme of the program.

Course of Study

All students in this doctoral program will pursue a common curriculum that draws from the areas of Operations Research, Computer Science and Mathematics. Students are supported by their home academic unit, generally similar to the support provided to other doctoral students of that unit. The support provided by the Department of Computer Science is detailed elsewhere in this document. After completing a challenging basic curriculum, students will have the opportunity to pursue a number of advanced topics through courses and seminars with faculty in all three units. Concurrently, they will pursue research for their dissertation.

The Ph.D. in Computer Science also offers a minor in ACO for those students who wish to have a formal involvement with the ACO program but still receive a Ph.D. in Computer Science.

How to Apply

Applications should be addressed directly to one of the three participating academic units, and will be evaluated by the unit to which the application is addressed. See "Instructions".

Please visit the ACO program for additional information.

Doctoral Program in Pure and Applied Logic

Carnegie Mellon's Doctoral Program in Pure and Applied Logic is an interdisciplinary venture jointly sponsored by the Department of Mathematics, the Department of Philosophy, and the Department of Computer Science. Carnegie Mellon has a large and active group of faculty whose research and teaching interests span all aspects of logic, with a particularly strong concentration in foundational aspects of computing. This Logic Community has an established record of collaborations in pursuing theoretical research, conducting major implementation projects, and running colloquia and workshops. Participating faculty from the Computer Science Department include Stephen Brookes, Edmund Clarke, Robert Harper, Peter Lee, Frank Pfenning, and John Reynolds.

Course of Study

CS/PAL students are admitted through their home department (Computer Science). They may choose to specialize in Pure and Applied Logic any time after their first year, though the expectation is that a mutual decision is reached by the end of their first year. CS/PAL students fulfill all the normal CS Ph.D. program requirements; however rather than take the equivalent of just three elective courses, they must take five. CS/PAL students choose their elective courses from a list of regularly offered courses in Pure and Applied Logic. Since some of these courses are taught in the Mathematics or Philosophy Departments and CS students are restricted to taking the equivalent of at most one elective course outside of SCS, in special cases students may petition to have a second elective course chosen from outside of SCS. CS/PAL students are also expected to participate in the activities of the Carnegie Mellon Logic Community, such as relevant seminars and colloquia. Completion of all degree requirements earns the student a Ph.D. in Computer Science plus an additional certificate in "Pure and Applied Logic".

How to Apply

Applications should be addressed directly to one of the three participating academic units, and will be evaluated by the unit to which the application is addressed. See "Instructions".

Please visit the Pure and Applied Logic Program for additional information.

Dual PhD Programs CMU-Portugal in Computer Science

The Department of Computer Science (CSD) of the School of Computer Science at Carnegie Mellon University offers a dual degree Ph.D. program in Computer Science in cooperation with several Portuguese universities. This Ph.D. program is part of the activities of the Information and Communication Technologies Institute (ICTI), resulting from a Portugal-CMU partnership agreement.

www.cmuportugal.org/
412-268-5344

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ENTERTAINMENT TECHNOLOGY CENTER

Master of Entertainment Technology [with CFA]—M.E.T.

The two-year M.E.T. is jointly conferred by the College of Fine Arts and School of Computer Science. The concept behind both the Entertainment Technology Center and the M.E.T. is having technologists and fine artists work together on projects that produce artifacts intended to entertain, inform, inspire or otherwise affect an audience/guest/player/participant. We do not turn artists into technologists, or vice-versa. While some students will be able to achieve mastery in both areas, it is not our intent to have our students master “the other side.” Instead, we intend for a typical student in the program to enter with mastery or training in a specific area and spend his or her time at Carnegie Mellon learning the vocabulary, values and working patterns of the other culture.

http://www.etc.cmu.edu/site/admissions/
412/268-5350



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HUMAN-COMPUTER INTERACTION INSTITUTE

Human-Computer Interaction—Master of

This one-year interdisciplinary professional degree prepares students to become leaders in the design and implementation of software systems that can be used easily, effectively and enjoyably. Students will learn techniques for identifying needs for software systems, design principles that make systems visually clear and appealing, and techniques for building systems and evaluating their effects on people and organizations. This program is offered in both Pittsburgh and Portugal.

www.hcii.cmu.edu
412/268-7971

Human-Computer Interaction—Ph.D.

This highly interdisciplinary program considers the aspects of computer science, behavioral sciences and design that come together to form the discipline of human-computer interaction. Reflecting the diversity of its faculty, and their interests in the intersection of people and computing, the program prepares students to become world-class HCI researchers through a diverse set of classroom, research and teaching experiences.

www.hcii.cmu.edu
412/268-2564

Educational Technology and Applied Learning Sciences — Master in (METALS)

This one-year interdisciplinary professional masters, jointly taught by the Human Computer Interaction Institute and the Psychology Department,  trains students to design, develop and evaluate evidenced-based programs for learning in settings that range from schools to homes, workplaces to museums, and online to offline learning environments.  Graduates will challenge the future of learning by re-examining the goals of education and assessment.  Graduates are prepared to take key positions in corporations, universities and schools as designers, developers, and evaluators of educational technologies as well as learning engineers, curriculum developers, learning technology policy-makers, and even chief learning officers. Students with backgrounds in psychology, education, computer science, design, information technology, or business are encouraged to apply.

http://www.hcii.cmu.edu/masters-educational-technology-and-applied-learning-science-program-admissions
412/268-8616


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INSTITUTE FOR SOFTWARE RESEARCH

Computation, Organizations and Society (COS)—Ph.D.

The Ph.D. program in COS prepares students to be tomorrow’s leaders in constructing, evaluating and reasoning with software that is accountable to society, business, policy and law. Combining both empirical and computational approaches, students partner in the creation, evaluation and use of future computational tools, measures and technologies for meeting diverse needs and increasing the scientific, organizational and policy understanding of complex social, corporate, market, legal, national and international issues.

www.cos.cs.cmu.edu/
412/268-3163

Software Engineering—Ph.D.

The Ph.D. program in software engineering prepares students for academic and industry leadership positions in software engineering. Software has become an essential building material in nearly all sectors of the economy.  Students build on experience in both research and in practice to identify and address the core challenges of software engineering practice. These challenges relate to diverse topics such as software architecture and design, software assurance and program analysis, measurement and tools, teams and organizations, end-user programming, and other topics. This degree is offered in both Pittsburgh and Portugal.

http://www.isri.cs.cmu.edu/education/se-phd/index.html

Software Engineering Distance Education

Since 1996, the Software Engineering Program has offered graduate courses that develop skills in the fundamentals of software engineering, with an emphasis on design, analysis and management of large-scale software systems, via distance education. The curriculum, which is the same as the campus MSIT-SE Program, emphasizes practical results, teaches effective methods to solve problems, and evaluates solutions based on sound engineering practices. The program is ideal for software development professionals who need to acquire in-depth and advanced knowledge of emerging technologies.

http://mse.isri.cmu.edu/software-engineering/web4-Distance/index.html
412/268-5067

Master of Science in Information Technology–Software Engineering (MSIT-SE)

The Master of Science in Information Technology – Software Engineering (MSIT-SE) degree is designed for early-career professionals with less than two years of work experience. The program shares the same core courses as the MSE program, and results in a final real-world capstone project. Considerably smaller than the MSE Studio in scope and size, the MSIT-SE Practicum affords the student an opportunity to demonstrate what has been learned in the core and elective courses through its practical application in a realistic project setting. The typical applicant has an undergraduate degree in Computer Science or other scientific or technical discipline, one to two years of industry experience, and has worked on at least one notable project.

http://privacy.cs.cmu.edu/
412/268-1496

Master of Science in Information Technology (MSIT) in eBusiness Technology

An increasing portion of all business is being conducted over the Internet.  Building eBusiness systems requires application of technology to real commercial situations. The eBusiness Technology program is not lecture-based, but consists of 16 real-world team projects in eBusiness consulting in which students must solve realistic problems incorporating a spectrum of current eBusiness issues. The final 9 weeks of the program are spent working on actual projects contributed by industrial sponsors. By that time, students have not only absorbed new technologies, but have acquired job-critical skills such as time management, team organization and the ability to produce professional work product and deliver effective and persuasive presentations.

http://www.ebusiness.cs.cmu.edu/?page_id=12

412/268-9998

Master of Science in Information Technology - Embedded Software Systems (MSIT-ESE)

The Master of Science in Information Technology – Embedded Software Engineering (MSIT-ESE) is a professional master’s degree program drawing from the combined resources and strengths of the School of Computer Science's Institute for Software Research (ISR) and the Department of Electrical and Computer Engineering (ECE). The professionally-oriented degree provides the foundations and skills in computer science, hardware and electrical engineering, and systems engineering necessary for effective embedded software engineering.

The use of an application-based capstone Practicum project is a central component in the curriculum, and is particularly appropriate for students who intend to return to industry after receiving their degree.

http://mse.isri.cmu.edu/software-engineering/web1-Programs/MSIT-ESE/index.html
412/268-5067

Master of Science in Information Technology - Software Engineering Management (MSIT-SEM)

A collaborative effort between Carnegie Mellon’s Heinz School of Public Policy and Management, the School of Computer Science, and the Software Engineering Institute, the MSIT-SEM is designed for mid-level managers currently working in information technology or software development positions who are eager to increase the breadth and depth of their knowledge. Applicants to the program are inclined to be those who strive to direct within software development organizations, or in the broader business sector that effectively acquires, integrates, and manages software. The program is ideal for working information technology managers, and is designed to be completed in three years of part-time study. Delivered mostly via distance education, the program culminates in a real-world capstone project.

http://mse.isri.cmu.edu/software-engineering/web4-Distance/MSIT-SEM/index.html
412/268-5067

Master of Science in the field of Information Technology in Privacy Engineering (MSIT-PE)

The Master of Science in Information Technology—Privacy Engineering (MSIT-PE) degree is a one-year program designed for computer scientists and engineers who wish to pursue careers as privacy engineers or technical privacy managers. Designed in close collaboration with industry and government, this program is intended for students who aspire to play a critical role in building privacy into future products, services, and processes.

http://privacy.cs.cmu.edu/index.html
(412) 268-6367

Master of Information Technology Strategy (MITS) [with DC and CIT]

Offered exclusively at Carnegie Mellon in Pittsburgh, the MITS degree program provides a multidisciplinary education that addresses threats caused by cyber operations, opportunities for enhanced information analysis and exploitation, the development and management of innovative information technology systems, and decision-making challenges associated with the above. The program has five areas of concentration: Big Data & Analytics, Decision Science & Policy, Information Security, Software Engineering, and Systems Engineering & Networking. The MITS program is a cooperative endeavor of the College of Engineering (CIT), School of Computer Science (SCS) and Dietrich College of Humanities and Social Sciences (DC).

http://www.cmu.edu/mits/index.html
412-268-5198

Master of Software Engineering/ Master of Business Administration [with Tepper]—(MBA/MSE)

The Master of Business Administration and Master of Software Engineering (MBA/MSE) 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 MSE programs. Each applicant must have engineering/science backgrounds, and must apply and be admitted to both the MBA and the MSE 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.

http://mse.isri.cmu.edu/software-engineering/web1-Programs/MBA-MSE/index.html
412/268-1496 or 412/268-2272

Dual Carnegie Mellon | Portugal Ph.D. Program in Software Engineering

The Institute for Software Research (ISR) in the School of Computer Science at Carnegie Mellon University offers a dual degree PhD program in Software Engineering in cooperation with several Portuguese universities. This PhD program is part of the activities of the Information and Communication Technologies Institute (ICTI), resulting from a Portugal-Carnegie Mellon partnership agreement. For more information, please see the ICTI website.

http://www.cmuportugal.org/


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LANE CENTER FOR COMPUTATIONAL BIOLOGY

Master of Science in Computational Biology

The M.S. in Computational Biology program enrolls students who desire a more immediate career in industry or who wish to explore computational biology without committing to a doctoral program. It also draws returning professionals who seek to enhance their skills and practices in this new interdisciplinary field.

http://www.cmu.edu/ms-compbio/

Master of Science in Biotechnology Innovation and Computation [with Language Technologies Institute] - (MSBIC)

This program is designed to educate leaders in applying software and computing technologies to create innovative solutions for the biotechnology, pharmaceutical and health care industries.

http://bic.cs.cmu.edu/


Ph.D. Program in Computational Biology

An interdisciplinary graduate training program in computational biology that brings together the world-class strengths of Carnegie Mellon and the University of Pittsburgh in computer science and biomedical research, and enables outstanding students to receive unique training that will place them among the leaders of this field.

http://www.compbio.cmu.edu/
412/268-2474

MD/Ph.D. in Computational Biology

The Medical Scientist Training Program (MSTP) seeks to train talented students to become physician-scientists in an environment that integrates superlative medical education and customized graduate work in biomedical research.

http://www.compbio.pitt.edu/Admissions/mstp.html

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LANGUAGE TECHNOLOGIES INSTITUTE

Master of Computational Data Science

The MSIT program in Very Large Information Systems is training a new generation of premier technologists to develop the layers of technology of the next generation of massive information system deployments. This program is uniquely designed to provide training in core Computer Science areas related to the problems of very large information systems. The program offers a mix of technology courses to provide students with an in-depth understanding of information technology in the areas of databases, information retrieval, machine learning, security, privacy, and software engineering. Through a comprehensive curriculum, the MSIT-VLIS program trains technologists to understand and impact all aspects of VLIS system. Graduates have a unified vision of VLIS after being trained in multiple areas. Graduates typically go on to work as high level software engineers at core high technology companies (e.g., Microsoft, Google, Bank of America, etc.).

http://mcds.cs.cmu.edu/
412/268-3242

Language Technologies—M.S., Ph.D.

The M.S. is a two-year program targeted toward either a professional or an academic (pre-PhD) Masters degree. Many research-oriented M.S. students apply for continuing studies into their Ph.D., with most of their M.S. courses and hands-on work being credited toward the Ph.D if they are admitted. The Ph.D. is offered for those who wish to specialize in research and to prepare for academic careers. Both programs offer specializations in speech understanding and synthesis, machine translation, information retrieval, text mining and related areas of natural language processing. We combine statistical, machine learning and linguistic approaches. Some of our students work in related areas, such as the Computational Biology of genomics. The PhD in Language Technology is offered in both Pittsburgh and Portugal.

www.lti.cs.cmu.edu
412/268-2623

Intelligent Information Systems - M.S.

The Master of Science in Intelligent Information Systems (MS/IIS) degree provides advanced study and practical experience in areas of Computer Science focused on the processing and analysis of unstructured and semi-structured information, for example, text, image, video, speech, and audio information. It is a practice-oriented professional degree designed for students who want to rapidly master advanced content-analysis, mining, and intelligent information technologies prior to beginning or resuming leadership careers in industry and government.
http://www.lti.cs.cmu.edu/education/msiis/overview.shtml

Biotechnology Innovation and Computation [with the Lane Center for Computational Biology, LCCB] - (MSBIC)

The M.S. in Biotechnology Innovation and Computation (MSBIC) is a program within the School of Computer Science at Carnegie Mellon and is offered jointly through the Language Technologies Institute (LTI) and the Lane Center for Computational Biology (LCCB). This program is designed to educate leaders in applying software and computing technologies to create innovative solutions for the biotechnology, pharmaceutical and health care industries. Students learn to plan, design, build and deliver innovative solutions for these industries utilizing data mining, information retrieval, machine learning, machine translation, computational linguistics, and computational biology technologies. As these industries are rapidly evolving, there is a great need for leaders who can envision, design, plan and deliver solutions that integrate emerging technologies into effective business solutions.

http://bic.cs.cmu.edu/about.htm


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MACHINE LEARNING DEPARTMENT

Machine Learning—Ph.D.

The Ph.D. program in Machine Learning is designed to give students a deep understanding of the computational and statistical principles that underlie learning processes, an exposure to real-world applications of machine learning, and an opportunity to design novel machine learning algorithms that advance the state of the art. Our graduates have already gone on to take faculty positions in top-ranked Computer Science departments, Statistics departments, and Engineering departments at other universities, as well as positions in major industrial research laboratories.

http://www.ml.cmu.edu/prospective-students/index.html
412/268-1299

Machine Learning—M.S.

Students who are already in a Ph.D. program at Carnegie Mellon may apply for a secondary master’s in data mining. This program will build on Carnegie Mellon’s Machine Learning Department, which has assembled a multidisciplinary team of faculty and students across several academic departments, dedicated to producing the next generation of data mining methods.

http://www.ml.cmu.edu/prospective-students/index.html
412/268-1299

Machine Learning/Neural Basis of Cognition—Ph.D.

Students participate in the Center for the Neural Basis of Cognition’s graduate training program, an interdisciplinary add-on program affiliated with eight Ph.D. programs at Carnegie Mellon and the University of Pittsburgh that focuses on how the brain gives rise to the mind. Students study neurophysiology, systems neuroscience, cognitive neuroscience and computational modeling.

www.cnbc.cmu.edu/GradTrain
412/268-1299

Machine Learning & Public Policy Joint Ph.D.

Many recent developments in the fields of machine learning and public policy suggest significant potential for increased collaboration between these fields. The Joint Ph.D. Program in Machine Learning and Public Policy is a new program for students to gain the skills necessary to develop new state-of-the-art machine learning technologies and apply these successfully to real-world policy issues.

http://www.ml.cmu.edu/prospective-students/joint-phd-mlheinz.html
412/268-1299

Statistics and Machine Learning Joint Ph.D.

Exciting research is being done at the boundary between machine learning and statistics. This is reflected at Carnegie Mellon by the strong ties between Carnegie Mellon’s Machine Learning Department and the Department of Statistics. This new joint program is aimed at preparing students for academic careers in both computer science and statistics departments at top universities. Students in this track will be involved in courses and research from both the Department of Statistics and the Machine Learning Department. During the first two years, the emphasis is on course work, with students situated in Statistics. During the following years, the student will be located in the Machine Learning Department.

http://www.ml.cmu.edu/prospective-students/joint-phd-mlstat.html
412/268-1299


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ROBOTICS INSTITUTE

Robotics—M.S.

A master’s degree in robotics requires both understanding a range of technical fields and having experience with synthesizing real systems. The curriculum, designed primarily for a one-year course of study, reflects both the breadth and the hands-on nature of robotics, covering core topics including perception, cognition, action and mathematical foundations. This degree is designed both as a professional, terminal degree and as an introduction to research for those who want to consider the Ph.D.

http://www.ri.cmu.edu/ri_static_content.html?menu_id=322
412/268-3733

Robotics—Ph.D.

Ph.D. research runs the course from foundations to applications. Our fundamental work includes new approaches to sensor and motor technology, foundations of machine perception, motion planning, algorithms, computer graphics, robot learning, speech recognition and many others. Application areas include autonomous highway vehicles, space exploration and factory automation. The program brings research areas together that would otherwise be spread among separate departments or even separate universities. Our curriculum is tuned to the needs of robotics, defining an intellectual focus and commitment to robotics. Students in the program are building a new discipline by formulating the ideas and building the systems that will determine our basic understanding of robots and of purposeful behavior in general. A well-prepared student can complete the doctorate in four to five years.

http://www.ri.cmu.edu/ri_static_content.html?menu_id=321
412/268-3733

Robotics/Neural Basis of Cognition - Ph.D.

Students participate in the Center for the Neural Basis of Cognition’s graduate training program, an interdisciplinary add-on program affiliated with eight Ph.D. programs at Carnegie Mellon and the University of Pittsburgh that focuses on how the brain gives rise to the mind. Students study neurophysiology, systems neuroscience, cognitive neuroscience and computational modeling.

www.cnbc.cmu.edu/GradTrain

412/268-3733

Robotics [with University of Pittsburgh School of Medicine]—Ph.D./M.D.

This program allows exceptionally talented individuals the opportunity to undertake physician-scientist training tailored to their specific research interests. For students who have a clearly defined interest in biomedical research, this program serves as a bridge between the University of Pittsburgh School of Medicine and any number of graduate programs in basic sciences or engineering at either the University of Pittsburgh or Carnegie Mellon University. Over a period of six or seven years, students meet the degree requirements of both a graduate school and a medical school, thus acquiring the knowledge, skills and experience to begin careers in some of the most exciting areas of medical research.

www.mdphd.pitt.edu/
412/648-2324

Management of Manufacturing and Automation [with Tepper]—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.

Master of Science in Robotics Technology (MS-RT)

Carnegie Mellon’s Master of Science in Robotics Technology (MS-RT) is a unique graduate program that provides a deep understanding of cutting edge robotics technology and hands-on experience developing technology solutions to global industrial problems.  The two year program is comprised of in-country coursework, online education, and industrial experiences. Unlike any other robotics program, the MS-RT provides significant global experiences. The two-year program is composed of two one-year phases. First year studies are at an international partner institution's campus via distance education materials produced by the Robotics Institute and delivered by the partner's faculty. Successful students transition to Carnegie Mellon's main campus to complete a second year of classes and an extensive practicum.

www.ri.cmu.edu/MS-RT
412/268-4272

Master of Science in Robotic Systems Development

The Master of Science (M.Sc.) Degree in Robotic Systems Development (MRSD) is an advanced graduate degree with a combined technical/business focus for recent-graduates / practicing-professionals already engaged in, or wishing to enter, the robotics and automation field as practitioners in the commercial sector. This Masters degree program distinguishes itself from any other offered program by teaching the multidisciplinary know-how and skills needed to succeed in today’s industry.

The MRSD curriculum provides a broad education in the sciences and technologies of robotics, while reinforcing theory through hands-on laboratory projects and exposing students to practical business principles and skills. This unique hands-on curriculum allows students to work on team-oriented and practical system-level robotics development and integration projects. Key business concepts and practices in the curriculum include technology planning, product conceptualization and development, team management, project management, prototyping, production, marketing, and sales.

www.ri.cmu.edu/MRSD
412-268-4017

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