Carnegie Mellon University

CENTER FOR THE NEURAL BASIS OF COGNITION

Neural Computation—Ph.D.
The Program in Neural Computation (PNC) is a graduate training program in computational neuroscience for students seeking training in the application of quantitative approaches to the study of the brain. Specifically the program is designed to take advantage of the world class strengths of Carnegie Mellon University and our partner institution, the University of Pittsburgh, in areas including computer science, machine learning, statistics and dynamical systems and to train students to apply these tools to critical problems in neuroscience.

The PNC is a new Ph.D. program, but it is based on the highly successful, but non degree granting graduate training program of the CNBC. Both these programs require training in neuroscience ranging from the cellular to cognitive levels. The PNC also requires extensive training and a research focus in at least one quantitative area. Thus, the PNC program will be especially attractive to students coming from majors in math, computer science, statistics, engineering or physics who want to apply approaches from these disciplines to the understanding of brain function.

ENGLISH

Global Communication and Applied Translation - M.A.
The Master of Arts in Global Communication and Applied Translation is a one and one-half year program that provides students with training in the principles and practices of professional translation, localization, and global communication. Students will build expertise through a) coursework in theories and approaches to translation, cross-linguistic and cross-cultural analysis, computer-assisted technologies, and field-specific domains (e.g., localization, editing and proofreading, project management, comparative stylistics); b) project-based collaborations; and C) internships.

Literary and Cultural Studies—M.A.
The one-year M.A. program introduces students to literary theory and cultural studies. It is ideal for students who wish to prepare themselves for the Ph.D. in English literature or for the world of work based on a background in English and cultural studies.

Professional Writing—M.A.
The MAPW is a three-semester program that prepares students for communication careers in professional and technical writing including writing for print and electronic media, technical writing, editing and publishing, public relations/corporate communications, and science and healthcare communication. Core skills covered include writing and visual design for print and the web, language and discourse studies, and working with teams and clients on real world projects. Students also complete a required professional internship to help launch their careers.
Rhetoric—M.A.
The one-year M.A. program introduces students to rhetorical and discourse studies. It is ideal for students who wish to prepare themselves for the Ph.D., for law school, or for the world of work based on a background in rhetorical studies and argument.
Literary and Cultural Studies—Ph.D.
The multi-year Ph.D. program teaches students how to conduct original research and publish in the field of literary and cultural studies. It is also for students interested in university teaching.
Rhetoric—Ph.D.
The multi-year Ph.D. program teaches students how to conduct original research and publish in the field of rhetoric and discourse studies. The doctoral program is also for students interested in university teaching, especially the teaching of writing and argument.

HISTORY

History— Ph.D.
The graduate studies program at Carnegie Mellon University is based on five thematic areas of faculty strength: African American and African diaspora; Culture and Power; Gender and Family; Labor and Politics; and Technology, Environment, Science, and Health. These areas, which cut across national and temporal boundaries, form the basis for a shared curriculum. After completing their course work, students focus their research in a single national area. Although most of our students pursue research topics in U. S. history, we also have students who specialize in Chinese, European, Latin American, and Russian history. In addition to strong national training, our program provides students with broad exposure to transnational issues.  Almost all our students serve as teaching assistants in our Global Histories courses. Regardless of which national field our students choose to research, our program encourages them to explore thematic issues that transcend national boundaries. Our program is small by design, and students receive a great deal of individual attention from faculty. The program strongly emphasizes research, and all students participate in a yearlong research seminar.

INSTITUTE FOR POLITICS AND STRATEGY

Accelerated Master of Science in International Relations and Politics (IRP/AMP)
The accelerated Master of Science in International Relations and Politics is open only to Carnegie Mellon undergraduate students.  Students should have a primary major, additional major, or minor in Institute for Politics and Strategy, they should have participated in the Carnegie Mellon University Washington Semester Program, or they should have special approval from the faculty admissions committee.  Current undergraduates will apply for the IRP/AMP during the junior year. 
Master of Information Technology Strategy (MITS)
The Master of Information Technology Strategy (MITS) is a cooperative endeavor of the College of Engineering (CIT), School of Computer Science (SCS) and the Institute for Politics and Strategy.  The MITS program provides a multidisciplinary education that prepares students to define and conceptualize:
  • the emerging environment of threats caused by cyber operations;
  • opportunities for enhanced information analysis and exploitation;
  • development and management of innovative information technology systems; and
  • decision-making challenges associated with the above.
The program has four areas of concentration: Data Analytics, Politics and Strategy, Information Security, Software and Networked Systems.

MODERN LANGUAGES

Masters in Applied Second Language Acquisition
The Masters in Applied Second Language Acquisition is a one-year, intensive program preparing U.S. and international students for careers in second language teaching in Chinese, French, German, Italian, Japanese, Spanish, and English as a Second Language (ESL).
Second Language Acquisition—Ph.D.
This program is designed to create independent and insightful researchers capable of using analytical and empirical methods to illuminate and understand the acquisition, use and maintenance of second languages. The program has a strong commitment to cross-linguistic and cross-cultural research, and is built on the tradition of interdisciplinary research at Carnegie Mellon. Prominent research foci include language acquisition outcomes in diverse contexts of learning, second language literacy (both reading and writing) and the evaluation of technology-enhanced language learning and teaching. The program focuses mainly on the acquisition of languages other than English.

PHILOSOPHY

Logic, Computation and Methodology—M.S.
This program offers unique opportunities for studies in areas where the department has distinguished formal research strengths. These are the same research areas that are open to Ph.D. candidates. As a two-year program, it is well suited for students who wish to enhance their training in selected areas of formal philosophy, to either pursue a vocation outside of the academy (e.g., designing expert systems for consulting firms that specialize in AI methods), or to prepare for further graduate study in analytic philosophy, cognitive psychology, computer science, mathematics or statistics.
Philosophy—M.A.
This two-year program provides an opportunity for students with a B.A. in philosophy to continue their work in a more focused and advanced way, as well as for students with a B.A. or B.S. in another field who wish to add a concentration in philosophy. The program offers three areas of specialization: ethics and applied ethics, social and political philosophy, and philosophy of science. The course of study is very flexible, and the broad distribution requirements can be tailored to a student’s interests and background.
Logic, Computation and Methodology—Ph.D.
The PhD programs in Logic, Computation, and Methodology and Philosophy have identical requirements. The distinction in name is meant to reflect the choice of focus during the student's study. The degree is designed to facilitate the development of sophisticated understanding of philosophical problems in a target area of study. The program's flexible requirements provide a broad curricular grounding, steady involvement in research, and the opportunity to practice the craft of teaching in an excellent undergraduate environment. Students are expected to complete an MS thesis by the middle of their third year, and a PhD thesis by the end of their fifth year.

Philosophy—Ph.D.
The PhD programs in Logic, Computation, and Methodology and Philosophy have identical requirements. The distinction in name is meant to reflect the choice of focus during the student's study. The degree is designed to facilitate the development of sophisticated understanding of philosophical problems in a target area of study. The program's flexible requirements provide a broad curricular grounding, steady involvement in research, and the opportunity to practice the craft of teaching in an excellent undergraduate environment. Students are expected to complete an MS thesis by the middle of their third year, and a PhD thesis by the end of their fifth year.

Pure and Applied Logic [with MCS and SCS]—Ph.D.
This interdisciplinary program is jointly sponsored by the departments of Computer Science, Mathematical Sciences and Philosophy. Each of these departments administers a track of the program, and students are admitted directly to one of these three departments, which will serve as their home base. Carnegie Mellon’s large and active Logic Community has a particularly strong concentration in foundational aspects of computing and has an established record of collaborations in pursuing theoretical research, conducting major implementation projects, and running colloquia and workshops. The program builds on these strengths to educate new generations of scientists who will pursue research in Pure and/or Applied Logic.

PSYCHOLOGY

Psychology—Ph.D.
Carnegie Mellon’s Psychology Department offers a challenging training program in cognitive psychology, cognitive neuroscience, developmental psychology and social-personality-health psychology leading to the Ph.D. degree. The program emphasizes application of experimental, mathematical and computational tools to the analysis of behavior. Students with strong backgrounds in psychology as well as biological and natural sciences, mathematics and engineering are encouraged to apply.
Psychology and Behavioral Decision Research [with Social and Decision Sciences]—Ph.D.
This joint program between the departments of Social and Decision Sciences and Psychology combines the perspectives gained from behavioral decision research with a deeper study of the psychological factors of decision making. Students receive rigorous training in research design and analysis, with coursework and research options in such fields as organizational behavior, economics, public policy and human-computer interaction. Students can select from multiple approaches (e.g., cognitive science, behavioral economics or social psychology) to the study of judgment and decision making, and have the opportunity to work with internationally distinguished faculty at the forefront of research.

SOCIAL AND DECISION SCIENCES

Behavioral Decision Research—Ph.D.
Behavioral decision research draws on insights from psychology and economics to provide a descriptively realistic picture of human decision making. The program combines ideas from economics about purposeful and directed decision making with those from psychology that recognize the influence of social, cognitive and emotional factors on such choices. The combination of these perspectives leads behavioral decision research to focus on both the ideals and realities of decision making, and on ways in which both research and practice might be improved.
Social and Decision Sciences - Ph.D.
While most students elect to pursue a standing field, students may also, with the careful oversight of their advisor and the Ph.D. Education Committee, complete the core SDS requirements and receive a degree with the title of Social and Decision Sciences.
Behavioral Economics (Joint with the Tepper School of Business)—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.

Behavioral Marketing and Decision Research (Joint with the Tepper School of Business)—Ph.D.
The joint Ph.D. program in Behavioral Marketing and Decision Research is a unique opportunity to master two fields during your time at Carnegie Mellon. The intersection of these two areas, Marketing and Behavioral Decision Research, is at the forefront of inter-disciplinary work that combines the fields of consumer behavior, psychology, economics, and policy.  The program combines the world-renowned Behavioral Decision Research faculty from the Department of Social and Decision Sciences (SDS) with the extraordinary Marketing faculty from the Tepper School of Business.
Medical Scientist Training Program (Joint with the University of Pittsburgh School of Medicine)—MD-Ph.D.
The Department of Social and Decision Sciences (SDS) participates in a combined MD-PhD Program with the Medical Scientist Training Program (MSTP), to offer an MD degree from the University of Pittsburgh and PhD degree from Carnegie Mellon University. The purpose of the program is to provide focused education and research opportunities in the areas of social and decision sciences, behavioral decision research, and related fields. Students participating in the joint MD and PhD program first apply to the MSTP program and then apply to the SDS department at CMU in the fall of their second year of the program. Students fulfill all of the requirements of the University of Pittsburgh medical school program as well as the requirements of the PhD program. Students follow an intense schedule of medical school courses, graduate coursework within SDS, and graduate research under the guidance of SDS faculty members who specialize in medically related research. The program includes up to three summer lab rotations within SDS during the first two years of medical school, where students learn basic research practices and gain experience with social science research problems, followed by a full PhD program, after which the student finishes medical school.

Psychology and Behavioral Decision Research [with Psychology]—Ph.D.
The joint doctoral program in Psychology and Behavioral Decision Research uses insights from psychology and economics to provide a descriptively realistic picture of human judgment and decision making. Although there are core requirements for all students, the program is designed to make it easy to combine interests in several academic areas.
Students interested in the joint Psychology/Behavioral Decision Research program are invited to apply at the end of their first year of SDS Ph.D. studies. The application involves a short proposal for a second year paper and dissertation that is truly joint between the two departments, as indicated by co-chairs. The application must be approved by both departments. Students who graduate from this program will receive a joint degree from BDR and Psychology.

STATISTICS & DATA SCIENCE

The Master of Statistical Practice—MSP
The Master degree in Statistical Practice (MSP) is a one-year, two-semester professional master degree program that emphasizes statistical practice, methods, data analysis and practical workplace skills. The MSP is for students who are interested in professional careers in business, industry, government, or scientific research. Students who complete this program will be well trained in the practice of statistics and will be very competitive in the job market. Successful completion of the degree will be grade based. There will not be a masters thesis requirement nor a qualifying exam.
Statistics—MS
Many Ph.D. students earn a Master of Science (M.S.) in Statistics on the way to achieving their ultimate degree. The M.S. degree is awarded as a milepost after a certain number of courses and other requirements have been completed. Note that students who have previously earned an M.S. or professional Master’s degree in Statistics are not eligible to earn an additional Master’s from our program. In addition, there are limitations on receiving multiple M.S. degrees from different departments at CMU; you cannot, for instance, receive both an M.S. in Statistics and an M.S. in Machine Learning unless these two degrees are built on disjoint course requirements.
Computational Finance [with Heinz, MCS and Tepper]—M.S.
This 18-month full-time degree (in Pittsburgh or New York) or three-year part-time (in New York) 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, the computer science and e-commerce skills needed to understand the technology used in the financial industry, and the corporate finance needed to employ these skills in finding innovative solutions to business needs.
Statistics—Ph.D.
The Ph.D. program in Statistics seeks to strike a balance between theoretical and applied statistics, and prepares students for university teaching and research careers, and for industrial and governmental positions involving research in new statistical methods.  The program can be completed in four years. Students typically earn a M.S. in Statistics along the way to the Ph.D. The department also allows students to individualize their programs if they wish to specialize in statistics and some particular substantive field such as genetics, astronomy, or neuroscience.
Statistics and Neural Computation—Ph.D.
This program allows students to pursue a Ph.D. that combines Ph.D.-level training in Statistics with a solid understanding of the elements of neuroscience via the Ph.D. Program in Neural Computation that is part of the Center for the Neural Basis of Cognition. Students complete the requirements for a Ph.D. in Statistics while also fulfilling the core requirements for the PNC Ph.D. by taking courses in cellular, cognitive, and systems neuroscience, as well as computational neuroscience, and gaining exposure to methods of data collection in at least one experimental laboratory. Because there is some overlap of requirements, this joint Ph.D. program should not take very much longer than either single program taken separately.
Statistics/Engineering and Public PolicyPh.D.
The Department offers a Ph.D. in conjunction with Carnegie Mellon's Department of Engineering and Public Policy (EPP). As stated on their web site, research in EPP focuses on four main areas: energy and environmental systems, information and communication technology policy, risk analysis and communication, and technical innovation and R&D policy. These are areas which clearly require statistical methodology; students in this joint program will focus on developing novel methodology to address such challenges.
Statistics and Machine Learning—Joint Ph.D.
This program differs from the standard Statistics Ph.D. program in its emphasis on machine learning and computer science. Students in this track will be involved in courses and research from both the Departments of Statistics and Machine Learning.  During the first year, students will normally be situated in and supported by the Department of Statistics. During later years, students will be located in the Department of their primary advisor.  Students will be granted the joint degree if they meet TWO sets of program requirements corresponding to the TWO departments, namely the ML PhD Requirements and the Statistics PhD Requirements, as we present next.
Statistics and Public Policy—Ph.D.
Our Department offers a joint program in collaboration with the H. John Heinz III School of Public Policy and Management, leading to a Ph.D. in Statistics and Public Policy. This five-year program provides students with comprehensive preparation at the Ph.D. level in both statistics and public policy. The curriculum draws on existing courses in both Statistics and the H. John Heinz III College, recognizing that selected courses can meet, simultaneously, the usually-separate objectives of the Ph.D. programs in Statistics and Public Policy. Critical to the success of the joint program is the close collaboration among faculty members in Statistics and the H. John Heinz III College. While students will have separate faculty advisors in Statistics and in the H. John Heinz III College, their progress will be regularly assessed by a joint group of faculty.  Students in this program have split TA duties between Statistics and the Heinz School, being supported one semester each academic year from each unit.