best quantitative psychology phd programs

Our guiding mission is to make novel and unique contributions to the science of psychology through the development, evaluation, and application of advanced quantitative methodologies. We primarily focus on methods for measuring and modeling individual behavior, particularly when assessed repeatedly over time. We also strive to meaningfully embed our quantitative and methodological work within the broad realm of the psychological sciences.

Please explore the resources we provide here for more details about our research, teaching, and service missions, and contact us if you have any additional questions.

Diversity and Inclusion

The Quantitative Psychology Program in the Department of Psychology and Neuroscience at the University of North Carolina Chapel Hill supports the University’s core values encouraging diversity and equal educational and employment opportunities throughout our community. We unequivocally denounce racism and other forms of hateful and discriminatory behavior with regard to culture, ethnicity, gender, sexual orientation, socioeconomic status, and age, among others. We are strongly committed to promoting diversity in our program as we consider an ideal scientific community to be one that includes a diverse representation of individuals at all academic levels. We are especially committed to training early career scientists of diverse backgrounds, and we encourage students from backgrounds historically underrepresented in the sciences to apply, including but not limited to BIPOC, LGBTQIA+, first generation college students, and those of low socioeconomic status. Our views reflect University policy as reflected the UNC Policy on Prohibited Discrimination, Harassment and Related Misconduct and the policy of University Office for Diversity and Inclusion . Please also see the Code of Conduct [PDF] for members of our Program, approved by the Equal Opportunity and Compliance Office at UNC .

Quantitative Psychology

Information about the Quantitative Psychology Graduate Major

Quantitative psychology provides an opportunity for students to specialize in measurement, methodology and research design and analyses relevant to data in the social sciences. Psychology faculty currently includes Peter Bentler, Han Du, Craig Enders, Amanda Montoya, and Steven Reise. Key areas of interest among the faculty are structural equation modeling, item response theory, multilevel modeling, and the analysis of fMRI data.

The quantitative major at UCLA Psychology is a highly individualized program providing ample opportunity for one-on-one interaction with faculty. Students concentrating in quantitative psychology will generally fit into one of two categories. The first of these consists of students possessing excellent mathematical backgrounds and strong theoretical interests in technical problems in measurement theory, statistics, and modeling. The second group of students typically has more applied interests. While the latter group of students have preparation in mathematics, these students are more oriented toward the use of psychometric and analytic techniques in substantive research. Some students find it compatible to give equal attention to both these major aspects of the program. Students in the quantitative program are strongly encouraged to collaborate with faculty in substantive areas of psychology in addition to their quantitative training. These areas include but are not limited to couples analysis, longitudinal and diary data, health outcomes, and the biological underpinnings of psychopathology.

During the first year of graduate work, quantitative psychology students will be exposed to a broad spectrum of courses covering the major fields of psychology. Some time during this year will also be devoted to research activities and quantitative coursework. Concentration in the quantitative area will be more intense during the second year. At a minimum, students are expected to take course work in traditional measurement, item response theory, latent variable modeling, multivariate analysis, and hierarchical linear modeling. Additional coursework such as classes on factor analysis, statistical analysis of fMRI data, and intervention design and analysis are strongly encouraged. In addition to coursework in the Psychology Department, quantitative psychology students often take quantitative courses in other departments, including Education, Statistics, and Biostatistics.

More Quantitative Psychology Information

• For a list of Required Courses please see the  Psychology Handbook

Psychological Sciences

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• Graduate Program

Quantitative Methods

Program overview.

Faculty in the Quantitative Methods (QM) program train students in state-of-the-art statistical methods and engage in research that develops and applies such methods. Students in the QM doctoral program develop expertise in the principles of research design and in the theoretical foundations and application of advanced statistical models for human behavior. Students work closely on research projects with a faculty mentor throughout their graduate career, and often collaborate with other faculty and students. QM faculty collectively have expertise in factor analysis and structural equation modeling; network analysis; measurement and item response theory; exploratory data analysis; mediation and moderation; longitudinal methods; multilevel modeling; mixture modeling; categorical data analysis; and generalized linear models. Quantitative faculty approach the study of these topics from a variety of angles, such as: developing computational tools to promote the use of new or existing methods; evaluating the performance of such methods under real-world conditions; and applying these methods in novel and sophisticated ways to solve substantive problems. Several QM faculty have substantive specializations in, for example, individual differences, personality psychology, clinical psychology, learning sciences, and developmental psychology, which facilitate intensive investigation of analytic approaches critical to those substantive domains. Students may pursue greater or lesser degrees of substantive psychological training, in addition to quantitative training, depending on their and their advisors' interests.

The QM program is housed within the Department of Psychology and Human Development at Peabody College-- a top-ten ranked school of education for the past ten years. This unique context exposes QM students to a variety of applications, methods, and statistical problems that arise in psychological and educational research, as well as the social sciences more generally.

QM faculty teach courses on a broad variety of fundamental and advanced topics in design and data analysis. These courses are attended by students from a variety of social science disciplines, as well as by QM students. QM students are encouraged to tailor their curriculum to maximize relevancy for their particular research interests, background, and career goals. QM course offerings include correlation and regression; analysis of variance; psychological and educational measurement; data science methods; multivariate analysis; psychological, field, and clinical research methods; item response theory (basic and advanced); exploratory/graphical data analysis; structural equation modeling; factor analysis; latent growth curve modeling; categorical data analysis; multilevel modeling; mixture modeling; nonparametric statistics; individual differences; causal analysis in field experiments and quasi-experiments; network analysis; statistical consulting; and meta-analysis. Additionally, many of our students get an optional Minor in Biostatistics . Students may also take courses in Scientific Computing , and/or other areas of psychology and education. Several research centers on campus also provide QM students with training opportunities. Vanderbilt’s new Data Science Institute (DSI) offers numerous workshops, short courses, colloquia, and collaboration opportunities using data science methods and tools. QM faculty also serve as teaching faculty and/or faculty affiliates of the DSI and are involved with the development, operations, and strategic goals of the DSI. Also, the Vanderbilt Kennedy Center maintains a statistics and methodology core which provides a methodology lecture series as well as statistical consulting training and resources. Additionally, students gain presentation and research skills by participating in the Quantitative Methods Forum (schedule below).

Core faculty

More information about individual faculty's research programs can be obtained from their websites by clicking on their names. Alternately, a list of QM faculty is available here . Prospective students are encouraged to contact core QM faculty with shared interests to ask questions about the program. Core QM faculty recruit and train Ph.D. students through the QM program.

• Sun-Joo Cho (item response theory; generalized latent variable modeling; test development and validation)
• * Alex Christensen (network analysis; data science; psychometrics; measurement)
• David Cole (structural equation modeling; mediation analysis; longitudinal methods; developmental psychopathology)
• Shane Hutton (survival analysis; dynamical systems modeling)
• David Lubinski (measurement; assessment; individual differences; intellectual talent development)
• Kristopher Preacher (structural equation modeling; multilevel modeling; mediation and moderation)
• Sonya Sterba (mixture models; multilevel and longitudinal methods; latent variable models)
• Chris Strauss (measurement and assessment; multilevel measurement; structural equation modelling)
• Hao Wu (model evaluation; uncertainty quantification; robust and nonparametric methods; structural equation modeling)

         (* = interested in recruiting a QM Ph.D. student to start in the 2024-2025 academic year)

Emeritus faculty

• Joseph Rodgers (general multivariate methods; exploratory/graphical data analysis; multidimensional scaling and measurement; behavior genetics; adolescent development)
• Jim Steiger (structural equation modeling; model evaluation; inferential methods; statistical computing)
• Andrew Tomarken (categorical data analysis; generalized linear models; longitudinal methods; clinical psychology)

Affiliated faculty

• Li Chen (statistical consulting; quantitative pedagogy)
• Scott Crossley (natural language processing)
• Will Doyle (data science; education policy)
• Kelly Goldsmith (business analytics, marketing, consumer psychology)

The program maintains its own quantitative computer lab, and additionally individual faculty have labs and computing resources that support their research programs. There are also computing labs in the department and elsewhere in Peabody College that are supplied with statistical software often used for classroom teaching.  Special funds for research-related software and computing equipment, as well as external workshop and conference travel, are available to QM students.

Information for Prospective QM Applicants

QM doctoral program graduates are prepared for faculty positions in academic settings, methodology positions in basic or applied research centers, or methodology positions in industry. Students work together with their advisor and advisory committee to refine their career goals, and tailor their research, coursework, and teaching experiences accordingly. The American Psychological Association reports that there are far more jobs for doctoral students trained in quantitative methods in psychology than there are applicants. Further information can be found here , here , and here .

The QM program is designed to lead to a Ph.D. degree within 5 years. In the first two years, students take a series of fundamental methods courses and begin working on research with their advisor. To build students' oral presentation skills, students present their research to the program on a yearly basis. Students who did not enter with a full year of calculus also complete such coursework in the Mathematics Department during this time. In their third year, students complete their masters thesis and continue research in collaboration with their advisor and others, while furthering their expertise with an individualized set of advanced coursework. Students take an exam in their third or fourth year that is based on reading lists related to content in courses they have taken up until that point. In their fourth and fifth years students finish their coursework and conduct a dissertation project under the guidance of their advisor and other committee members, while building additional independent research and/or teaching skills relevant to their particular career goals.

Doctoral applicants admitted to the QM program receive a guaranteed 5 years of stipend and tuition support, which usually takes the form of a combination of research assistantships and/or teaching assistantships in quantitative courses (for instance, the introductory graduate statistics sequence). Additionally, QM students have a successful track record of obtaining prestigious NSF fellowships. Senior students routinely also may obtain other kinds of stipends as statistical analysts or consultants for various research projects and grants on campus; these opportunities serve as valuable supplementary training experiences. Some students also serve as teaching instructors for their own section of an undergraduate statistics course or undergraduate measurement course in order to deepen their teaching credentials. Application instructions are available here .

QM Masters Program

In Spring 2014, the QM program launched a terminal M.Ed. in Quantitative Methods. This program is distinct from our longstanding research-focused Ph.D. program. More information about the goals and expectations for applicants to our M.Ed. program can be found here .

Graduate QM Minor

Doctoral students outside the QM program may elect to minor in quantitative methods. This formal minor involves taking four advanced methods courses from the QM program beyond the first year required graduate statistics sequence (6 courses total). The minor requires a 3.5 average GPA (for all 6 minor courses), with no grade below a B. The minor provides students with exceptional training in the application of complex psychometric and statistical procedures and provides students with skills that can enhance the quality of their research program over the course of their career. Many students find that the credential of a graduate minor in quantitative methods is a valuable asset in the pursuit of research-oriented academic positions or quantitatively-oriented industry positions after graduation. Detailed information on minor requirements can be obtained from the Psychological Sciences graduate student handbook. For more information, contact Kris Preacher .

Undergraduate QM Minor

The QM program offers an 18-credit undergraduate minor in quantitative methodology. For information on our new undergraduate QM minor, please click here .

Quantitative Methods Colloquium Series

The QM program offers a weekly Quantitative Methods Colloquium Series which covers novel methodological advances, cutting-edge applications of quantitative methods, inclusivity in QM, teaching pedagogy in QM, QM professional development activities, QM outreach, and QM workshops. The QM colloquium series features a mix of external speakers from different settings (e.g., academia and industry) and different stages of their careers in order to expose our QM students to a variety of career paths and perspectives. Each semester our QM forum also contains internal program speakers, QM students and QM faculty, to allow us to share our research with, and gain feedback from, our colleagues. For more information on the QM Colloquium please visit the Colloquium schedule .

Quantitative Methods Outreach

At least once per year the QM Colloquium Series features an Open House where statistical consulting problems presented by Peabody faculty guest(s) receive a program-level discussion. Additionally, our QM program offers a statistical consulting course on a yearly basis to which Peabody faculty can submit statistical problems to serve as student projects. QM faculty also maintain a listserv ([email protected]) to which Peabody faculty can submit statistical problems that are limited in scope. Submitted questions will first be considered for open house or course project slots and secondarily for a graduate assistant to the QM faculty for further attention.

Fall 2024 QM Course Offerings

• PSY-GS 8861-01: Statistical Inference . TR 1:15p - 2:30p Hutton
• PSY-GS 8870-01 / PSY-PC 3735-01: Correlation and Regression . TR 9:30a - 10:45a Strauss
• PSY-GS 8873-01: Structural Equation Modeling . TR 11:00a - 12:15p Cole
• PSY-GS 8876-01 / PSY-PC 3724-01: Psychological Measurement / Psychometrics . T 4:15p - 7:05p Lubinski
• PSY-GS 8878-01 / PSY-PC 7878-01: Statistical Consulting . T 1:15p - 4:05p Strauss
• PSY-GS 8879-01 / PSY-PC 3743-01: Factor Analysis . F 10:10a - 1:00p Preacher
• PSY-GS 8882-01: Multilevel Modeling . W 10:10a - 1:00p Preacher

Undergraduate

• PSY-PC 2110-01: Introduction to Statistical Analysis . TR 11:00a - 12:15p Hutton
• PSY-PC 2110-05: Introduction to Statistical Analysis . MWF 11:15a - 12:05p Chen
• PSY-PC 2110-06: Introduction to Statistical Analysis . MWF 12:20a - 1:10p Osina
• PSY-PC 2110-07: Introduction to Statistical Analysis . MWF 10:10a - 11:0 0a Chen
• PSY-PC 2110-08: Introduction to Statistical Analysis . TR 9:30a - 10:45a Vinci-Booher
• PSY-PC 2110-09: Introduction to Statistical Analysis . TR 1:15p - 2:30p Wu
• PSY-PC 2110-10: Introduction to Statistical Analysis . TR 2:45p - 4:00p Wu
• PSY-PC 3722-01: Psychometric Methods . TR 8:00a - 9:15a Cho

Psychology (Quantitative Research Methods), PHD

On this page:, at a glance: program details.

• Location: Tempe campus
• Second Language Requirement: No

Program Description

Degree Awarded: PHD Psychology (Quantitative Research Methods)

The PhD program in psychology with a concentration in quantitative research methods offers an immersive education in advanced statistical techniques and research methodologies that are employed in the conduct of both basic and applied psychological research.

A collaborative, interdisciplinary approach to research empowers students to deepen their understanding and tackle key issues, such as exploring the limits of existing methods, pushing the methodological frontiers forward, evaluating the effectiveness of established and emerging methodologies, and improving the robustness of psychological research through innovative measurements and analytical methods.

What sets this program apart is its distinguished, award-winning faculty, known for their expertise and dedication to training the next generation of psychological methodologists. Alongside the faculty, students gain practical experience and master techniques in the areas of measurement, study design, data analysis, statistical modeling, and evaluation of the utility of new and existing methods.

Graduates of this program emerge as experts in quantitative research who are prepared to make meaningful contributions to the field by developing and applying sophisticated statistical and methodological solutions to address pressing research issues.

Quantitative Faculty       Research Labs

Degree Requirements

84 credit hours, a written comprehensive exam, an oral comprehensive exam, a prospectus and a dissertation

Required Core (3 or 4 credit hours) PSY 502 Professional Issues in Psychology (3) or PSY 531 Multiple Regression in Psychological Research (4)

Concentration (3 credit hours) PSY 533 Structural Equation Modeling (3)

Other Requirements (31 credit hours) PSY 530 Intermediate Statistics (4) PSY 532 Analysis of Multivariate Data (3) PSY 534 Psychometric Methods (3) PSY 536 Statistical Methods in Prevention Research (3) PSY 537 Longitudinal Growth Modeling (3) PSY 538 Advanced Structural Equation Modeling (3) PSY 539 Multilevel Models for Psychological Research (3) PSY 540 Missing Data Analysis (3) PSY 543 Statistical Mediation Analysis (3) PSY 555 Experimental and Quasi-experimental Designs for Research (3)

Electives (22 or 23 credit hours)

Research (12 credit hours)

Culminating Experience (12 credit hours) PSY 799 Dissertation (12)

Additional Curriculum Information Electives are determined in consultation with the student's supervisory committee.

Other requirements courses may be substituted for other courses based on consultation with the student's supervisory committee.

Admission Requirements

Applicants must fulfill the requirements of both the Graduate College and The College of Liberal Arts and Sciences.

Applicants are eligible to apply to the program if they have earned a bachelor's or master's degree from a regionally accredited institution.

Applicants must have a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in the last 60 hours of their first bachelor's degree program or a minimum cumulative GPA of 3.00 (scale is 4.00 = "A") in an applicable master's degree program.

All applicants must submit:

• graduate admission application and application fee
• official transcripts
• SlideRoom application and fee
• statement of purpose form
• curriculum vitae or resume
• three letters of recommendation
• proof of English proficiency

Additional Application Information An applicant whose native language is not English must provide proof of English proficiency regardless of their current residency.

To apply to the doctoral program, applicants must follow the instructions on the doctoral program admissions instructions and checklist. It is strongly recommended that applicants download and print the instructions and checklist to ensure completion of the application process and that all required supplemental forms are included.

The Department of Psychology application process is completed online through ASU's graduate admission services, which includes the application form and official transcripts. Application to the Department of Psychology doctoral programs is also completed via SlideRoom, for processing of supplemental application materials. The SlideRoom account requires an additional fee.

Applicants must submit three academic letters of recommendation from faculty members who know the student well. Three letters are required, but four letters of recommendation may be submitted.

Next Steps to attend ASU

Learn about our programs, apply to a program, visit our campus, application deadlines, career opportunities.

Quantitative psychologists possess advanced statistical and methodological expertise applicable to various research challenges. While rooted in psychology, their skills find broad applications in fields such as education, heath, neuroscience and marketing. Graduates of the doctorate in psychology (quantitative research methods) program excel in interdisciplinary collaboration and effective communication of complex ideas.

Potential careers induce roles as:

• consultants
• data scientists
• policy analysts
• psychology professors
• psychometricians
• research scientists

Program Contact Information

If you have questions related to admission, please click here to request information and an admission specialist will reach out to you directly. For questions regarding faculty or courses, please use the contact information below.

• [email protected]
• 480/727-4561

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Quantitative methods, doctor of philosophy (ph.d.), you are here, a doctoral program focused on measurement and evaluation that trains students to create new research methodologies and design empirical data analyses. .

The Quantitative Methods Ph.D. program is designed to prepare future professors at research universities and principal investigators at research and assessment organizations in education, psychology, and related human services fields.

What Sets Us Apart

About the program.

Rigorous coursework across the field of education will prepare students with the tools needed to conduct cutting-edge research and assessment.  

Fall: 4 courses; Spring: 4 courses

Research apprenticeship Yes

Culminating experience Dissertation

The Ph.D. program in Quantitative Methods is designed to prepare students for faculty positions at universities as well as important responsibilities at research and assessment organizations. Graduates will be prepared to design first-rate empirical research and data analyses and to contribute to the development of new research methodologies. Students who apply directly to the doctoral-level study program following a baccalaureate degree will enroll in the core courses described for the  M.S.Ed. degree in Statistics, Measurement, Assessment, and Technology (SMART)  and the more advanced courses for the Ph.D. degree. This will include the development of independent empirical research projects.

Doctoral degree studies include advanced graduate coursework, a research apprenticeship, a Ph.D. Candidacy Examination, and the completion of a doctoral dissertation that represents an independent and significant contribution to knowledge. The research apprenticeship provides students with an opportunity to collaborate with a faculty sponsor on an ongoing basis and to participate in field research leading to a dissertation. 

For information about courses and requirements, visit the  Quantitative Methods Ph.D. program in the University Catalog .

Our Faculty

Affiliated Faculty

Eric T. Bradlow K.P. Chao Professor, The Wharton School Ph.D., Harvard University

Timothy Victor   Adjunct Associate Professor, Penn GSE 

"Penn GSE’s Quantitative Methods Ph.D. program equipped me with the methodological skills to do impactful applied education research as soon as I graduated."

Anna Rhoad-Drogalis

Our graduates.

Graduates go on to careers as university professors, researchers and psyshometricians for government agencies, foundations, nonprofits organizations, and corporations. 

Alumni Careers

• Assistant Professor, Texas A&M University-Corpus Christi
• Associate Director, Bristol-Myers Squibb
• Lead Psychometrician, American Institute of Certified Public Accountants
• Research Analyst, Penn Child Research Center, University of Pennsylvania
• Senior Director, Educational Testing Service
• Senior Researcher, Mathematica

Admissions & Financial Aid

Please visit our Admissions and Financial Aid pages for specific information on the application requirements , as well as information on tuition, fees, financial aid, scholarships, and fellowships.

Contact us if you have any questions about the program.

Graduate School of Education University of Pennsylvania 3700 Walnut Street Philadelphia, PA 19104 (215) 898-6415 [email protected] [email protected]

Christine P. Lee Program Manager (215) 898-0505 [email protected]

Please view information from our Admissions and Financial Aid Office for specific information on the cost of this program.

All Ph.D. students are guaranteed a full scholarship for their first four years of study, as well as a stipend and student health insurance. Penn GSE is committed to making your graduate education affordable, and we offer generous scholarships, fellowships, and assistantships.

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You May Be Interested In

Related programs.

• Education Policy M.S.Ed. 
• Education, Culture, and Society Ph.D. 
• Higher Education Ph.D. 
• Quantitative Methods M.Phil.Ed.
• Statistics, Measurement, Assessment, and Research Technology M.S.Ed.

Related Topics

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Programs in quantitative psychology and quantitative methods.

If you are a psychology major who likes math and who has kept up some math skills, consider applying to doctoral programs in quantitative psychology (or quantitative methods more generally, such as are often housed in schools of education). This is a small field that has many job opportunities in academics, research institutes and industry. A description of the specialty and a list of the doctoral programs is at http://www.apa.org/research/tools/quantitative .

Programs usually accept students directly out of college and they usually provide complete fellowships, including tuition and stipend. Members of minority groups are especially welcome in this field.

If you have questions about quantitative psychology (which includes statistics, psychometrics and study design) or mathematical psychology (which includes mathematical models of perceptual, cognitive, and biological systems), feel free to contact a member of the society.

Below is a non-exhaustive list of current programs in Quantitative Psychology and Quantitative Methods. If you have suggestions for other programs that should be included, please send them to SMEP's Coordinating Officer.

• Arizona State University
• Boston College
• City University of New York
• Florida State University
• Fordham University
• Georgia Tech
• McGill University
• Michigan State University
• New York University
• Ohio University
• Ohio State University
• Pennsylvania State University
• Simon Fraser University
• University of British Columbia
• University of California, Davis
• University of California, Los Angeles (Psychology)
• University of California, Los Angeles (Graduate School of Education)
• University of California, Merced
• University of Cincinatti (Educational Studies)
• University of Houston (College of Education)
• University of Illinois, Urbana-Champaign (Psychology)
• University of Illinois, Urbana-Champaign (Educational Psychology)
• University of Kansas
• University of Manitoba
• University of Maryland
• University of Massachusetts Amherst
• University of Minnesota
• University of Missouri
• University of Missouri (College of Education)
• University of North Carolina at Chapel Hill
• University of Notre Dame
• University of Oklahoma
• University of South Carolina
• University of Southern California
• University of Virginia
• University of Wisconsin-Madison
• Utah State University
• Vanderbilt University
• York University

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Quantitative Psychology

Quantitative Psychology at the University of Illinois, Urbana-Champaign, has a long-standing tradition of academic excellence. A list of faculty who taught at Illinois during the past decades reads like a who-is-who of 20 th  century Psychometrics and Quantitative Psychology. Luminaries like William Batchelder, Raymond B. Cattell, Lee J. Cronbach, Charles Osgood, Lloyd Humphries, Henry Kaiser, Robert Linn, Roderick McDonald, Jum C. Nunnally, Ledyard R Tucker, and Herbert Woodrow taught at Illinois. 16 former presidents of the Psychometric Society have close ties to Illinois--be that as faculty or former students; among them is the current president of the Psychometric Society, Daniel Bolt, who graduated from the Quantitative Psychology Program in 1999. 

The PhD program in Quantitative Psychology at the University of Illinois, Urbana-Champaign, offers an integrated curriculum that blends instruction and research. Our goal is to train students to become the next generation of outstanding quantitative methodologists and mathematical and computational modelers. Our alumni work in academic institutions, testing organizations, government, research laboratories, and industry. 

Our curriculum covers a broad spectrum of modern behavioral analytics : categorical data analysis, clustering, cognitive diagnosis, hierarchical linear models, latent trait theory, mathematical and computational models of judgment and choice, decision making, and information processing, multivariate analysis, psychometrics, psychological scaling, and structural equation modeling.  Students are encouraged to broaden the scope of their education through coursework in neighboring disciplines such as applied statistics, computer science, operations research, educational evaluation and measurement. 

Current faculty teaching in the Quantitative Psychology Program (detailed information on faculty can be found in following the link to their individual websites): 

• Jared Hotaling
• Hans Friedrich Koehn
• Michel Regenwetter
• Michelle Wang

At Illinois, we have always taken an active stance in strongly supporting women and minority students and faculty. The quantitative faculty at Illinois are committed to cultural, gender, and race equality and diversity, as well as to treating all people equally and with respect. We strongly encourage students of under-represented backgrounds to apply to our program.

The Quantitative Psychology PhD program trains the future developers and inventors of mathematical and quantitative psychology, not just savvy users of existing methods.  We strongly favor applicants with prior training in STEM fields, such as Computer Science, Engineering, Mathematics, Statistics, and related disciplines. The ideal applicant is an intellectually curious double major in mathematics or statistics and psychology who also has excellent verbal skills. 

The best preparation to apply to the Quantitative Psychology PhD program is to take several mathematics or statistics classes (in a Mathematics or Statistics department) and to pass them with excellent grades. International students must pay careful attention to Application Requirements, especially in Language Proficiency.

In most years, a large portion of our applicant pool is ineligible for admission because of insufficient evidence for language proficiency. If you are an international applicant, it is extremely important that you visit this link before you apply.

See English Proficiency Requirements

Faculty working in Quantitative Psychology

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Quantitative Psychology

Research by faculty concerns the advancement of these techniques as well as their application to the study of individual differences in behaviors, such as cognitive development and psychological health.

ANGELA SCULLY Graduate Program Coordinator

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What are you looking for?

Suggested search, quantitative methods and computational psychology, welcome to quantitative methods and computational psychology at usc.

The program in Quantitative Methods and Computational Psychology (QMCP) at USC trains students in both the basics and the advances in methodological, statistical, and computational tools to study human behavior. Students work closely with their primary advisor to develop an area of research expertise, while often also developing additional lines of research with other faculty in the department. Our program focuses on the development of strong research skills, including basic statistics, robust statistics, multivariate measurement, multilevel and longitudinal data analysis, experimental design and methods, decision making, cumulative reviews, behavior and molecular genetics, We teach and encourage computer programming of all types (e.g., SAS, SPSS, R) as well as train students about new advances in computational modeling (LISREL, Mplus, CART, Keras). We emphasize the application of these research skills to matters of real-world importance needed for any topical area of behavioral science. We encourage our students to work within other areas of the department to gain additional skills and expertise such as neuroimaging techniques, aging research designs, social psychology experiments, cognitive survey research, and developmental principles.

Graduate Consultation and Computer Center

The  Graduate Consultation and Computer Center (GC3)  provides free statistical consultation to progressive masters students, doctoral students and faculty in the USC Psychology Department.

Psychometrics & Quantitative Psychology

Graduate students who are currently involved in any of the RIGS within Psychology have the opportunity to add a secondary major concentration in Psychometrics and Quantitative Psychology. Students in this RIG obtain specialized skills related to the substantive development; statistical modeling and analysis; and resulting interpretation of psychological measures, experiments, and interventions.

Please note: Students must be affiliated with the Industrial-Organizational RIG, the Human Factors/Human-Computer Interaction RIG, or the Cognitive & Affective Neuroscience RIG in addition to the Psychometrics & Quantitative Psychology RIG.

Secondary Major Concentration

Even as a secondary major concentration, at least one graduate student research project (thesis, publication) is required to have a department-approved component pertaining to psychometrics and quantitative methods. This requires approval by faculty involved in this Major Concentration, who then informs the major advisor.

Baseline Courses

PSYC 502 and PSYC 503 (all psychology students take this)

Core Courses (all 3 required)

• PSYC 507 Research Methods
• PSYC 602 Psychometrics
• PSYC 631 Foundations of Individual Differences

Take three additional approved courses, such as

• PSYC 543 Computational Modeling of Cognitive Processes
• PSYC 601 Multivariate Statistics
• PSYC 635 Multilevel Modeling in Psychological Research
• PSYC 637 Meta-analysis
• PSYC 638 Structural Equation Modeling
• Department-approved courses outside of the Psychology Department

Please visit the Forms page to access the required paperwork to establish candidacy.

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Mathematical and Computational Psychology Graduate Program

Department of Psychological Sciences

Mathematical psychologists and cognitive modelers develop and test quantitative theories of cognition, behavior, neuroscience and other psychological phenomena. As a student in the mathematical and computational psychology program, you will acquire a solid foundation in mathematics, psychology and statistics. This background will provide a basis for you to create mathematical, statistical and computational models in psychological areas ranging from low-level perception to higher-level cognitive function.

Program Highlights

• Academic study focuses on modeling psychological phenomena within cognitive psychology, learning, memory, visual and auditory perception and psychophysics; experimental design; probability; and applied statistics.
• Student thesis research is directed toward theoretical and/or methodological problems within a content area of psychology, such as experimental, social, clinical or industrial psychology.
• The interdisciplinary work delves into neighboring disciplines, including artificial intelligence, neuroimaging, neurophysiology, robotics, image and video processing, computer science, systems theory and linguistics.

Potential Careers

• University faculty member
• Computational scientist
• Software engineer

Plan of Study

Each graduate student admitted to a degree program must file an individualized plan of study to guide their academic progress. The plan of study is an academic contract between the student, advisory committee members and the Graduate School. Students filing their plan of study should complete their plan electronically via the Plan of Study Generator on MyPurdue. More information about creating a plan of study can be found in the Department of Psychological Sciences’ graduate handbook.

Program Quick Facts

Degree Type : Doctoral

Program Length : 5 years

Location : West Lafayette, IN

Department/School : Department of Psychological Sciences

Each student is expected to actively participate in research. Researchers in the mathematical and computational cognitive science area use different research methodologies, such as mathematical modeling, behavioral experiments, simulation experiments and neuroimaging experiments.

Bridge Topics

Within the mathematical and computational psychology program, faculty also have research interests in several bridge topics, including individual differences, learning and memory, and perception and performance. Mathematical and computational psychology faculty studying individual differences focus on developing statistical methodologies to characterize emotion regulation processes. Learning and memory research in the program applies mathematical and computational models to cognitive neuroscience, information processing and dreams. Additionally, mathematical and computational psychology faculty examine perception and performance through interests in dynamic vision, intuition in decision-making and human factors.

Research Opportunities

• Emotion regulation
• Health behaviors
• Clinical diagnosis
• Stephen Broomell
• Gregory Francis
• Sebastien Hélie
• Anne B. Sereno

Admissions/Requirements

Every attempt will be made to provide financial support for students in good standing during their first five years of study. Support beyond five years is typically not possible, although individual cases will be judged on merit by relevant faculty.

Faculty recruiting new students for Fall 2025 admission will be posted here in October 2024.

Connect with Us!

If you have questions or to learn more about this program, please contact the Department of Psychological Sciences Graduate Program Coordinator, Nancy O’Brien at [email protected] .

Nancy O’Brien Purdue University 701 Third Street West Lafayette, IN 47907

(765) 494-6067

[email protected]

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2024 Best Psychometrics & Quantitative Psychology Schools

In 2024, College Factual analyzed 9 schools in order to identify the top ones for its Best Psychometrics & Quantitative Psychology Schools ranking. Combined, these schools handed out 96 degrees in psychometrics & quantitative psychology to qualified students.

Jump to one of the following sections: * Degree-Level Rankings

• Best Overall Psychometrics & Quantitative Psychology Schools List

Choosing a Great Psychometrics & Quantitative Psychology School

You may want to choose one of the degree levels below to find the schools of most interest to you.

Pick Your Psychometrics & Quantitative Psychology Degree Level

Since the program you select can have a significant impact on your future, we've developed a number of rankings , including this Best Psychometrics & Quantitative Psychology Schools list, to help you choose the best school for you. More interested in schools in a specific area of the country? Filter this list by region or state .

To further help you make the college decision, we've developed a unique tool called College Combat that allows you to compare schools based on the factors that matter the most to you. Go ahead and give it a try, or bookmark the link so you can check it out later.

Read more about College Factual's methodology .

Featured Psychometrics & Quantitative Psychology Programs

Learn about start dates, transferring credits, availability of financial aid, and more by contacting the universities below.

MS in Psychology

Our Master of Science in Psychology program is designed to extend your knowledge and discipline in psychology, preparing you for a wide variety of professions and contexts.

BA in Psychology

Advance in your human services or psychology career, or prepare for graduate studies in a variety of fields at Southern New Hampshire University.

Science & Engineering Masters Programs (I Have a Bachelors)

Best Schools for Psychometrics & Quantitative Psychology in the United States

If you aren't interested in a particular degree level and want to know which schools are the overall best at delivering an education for the psychometrics and quantitative psychology degrees they offer, see the list below.

10 Top Schools in Psychometrics and Quantitative Psychology

Any student pursuing a degree in psychometrics & quantitative psychology has to look into Vanderbilt University. Vanderbilt is a large private not-for-profit university located in the large city of Nashville. A Best Colleges rank of #19 out of 2,217 schools nationwide means Vanderbilt is a great university overall.

There were roughly 5 psychometrics & quantitative psychology students who graduated with this degree at Vanderbilt in the most recent data year.

Any student pursuing a degree in psychometrics & quantitative psychology has to check out University of Connecticut. Located in the large suburb of Storrs, UCONN is a public university with a fairly large student population. A Best Colleges rank of #86 out of 2,217 schools nationwide means UCONN is a great university overall.

There were roughly 2 psychometrics & quantitative psychology students who graduated with this degree at UCONN in the most recent data year.

Any student pursuing a degree in psychometrics & quantitative psychology needs to take a look at Boston College. Boston College is a fairly large private not-for-profit college located in the city of Chestnut Hill. A Best Colleges rank of #60 out of 2,217 colleges nationwide means Boston College is a great college overall.

There were roughly 1 psychometrics & quantitative psychology students who graduated with this degree at Boston College in the most recent data year.

Fordham University is a great option for students interested in a degree in psychometrics & quantitative psychology. Located in the large city of Bronx, Fordham U is a private not-for-profit university with a fairly large student population. A Best Colleges rank of #109 out of 2,217 schools nationwide means Fordham U is a great university overall.

There were roughly 1 psychometrics & quantitative psychology students who graduated with this degree at Fordham U in the most recent data year.

Montclair State University is one of the best schools in the country for getting a degree in psychometrics & quantitative psychology. Montclair State is a very large public university located in the suburb of Montclair. This university ranks 8th out of 44 schools for overall quality in the state of New Jersey.

There were approximately 24 psychometrics & quantitative psychology students who graduated with this degree at Montclair State in the most recent data year.

Located in the small city of Muncie, Ball State is a public university with a large student population. This university ranks 6th out of 42 colleges for overall quality in the state of Indiana.

There were roughly 12 psychometrics & quantitative psychology students who graduated with this degree at Ball State in the most recent year we have data available.

Located in the city of Chicago, Illinois Tech is a private not-for-profit school with a medium-sized student population. This school ranks 9th out of 85 schools for overall quality in the state of Illinois.

There were about 7 psychometrics & quantitative psychology students who graduated with this degree at Illinois Tech in the most recent year we have data available.

Located in the suburb of Hempstead, Hofstra is a private not-for-profit university with a large student population. This university ranks 37th out of 142 colleges for overall quality in the state of New York.

There were roughly 10 psychometrics & quantitative psychology students who graduated with this degree at Hofstra in the most recent data year.

JMU is a very large public university located in the city of Harrisonburg. A Best Colleges rank of #169 out of 2,217 schools nationwide means JMU is a great university overall.

There were about 2 psychometrics & quantitative psychology students who graduated with this degree at JMU in the most recent year we have data available.

North Dakota State University is a large public university located in the city of Fargo. This university ranks 2nd out of 12 schools for overall quality in the state of North Dakota.

There were roughly 2 psychometrics & quantitative psychology students who graduated with this degree at North Dakota State University in the most recent data year.

Related Programs

Learn about other programs related to Psychometrics & Quantitative Psychology that might interest you.

Psychology PsyD Programs (I Have a Masters)

Psychology PhD Programs (I Have a Masters)

Psychology Graduate Certificate Programs (I Have a Bachelors)

Psychometrics & Quantitative Psychology by Region

View the Best Psychometrics & Quantitative Psychology Schools for a specific region near you.

Other Rankings

Bachelor's degrees in psychometrics and quantitative psychology, doctor's degrees in psychometrics and quantitative psychology, master's degrees in psychometrics and quantitative psychology.

View All Rankings >

Rankings in Majors Related to Psychometrics and Quantitative Psychology

One of 10 majors within the Child Development & Psychology area of study, Psychometrics & Quantitative Psychology has other similar majors worth exploring.

Majors Similar to Psychometrics and Quantitative Psychology

View All Psychometrics and Quantitative Psychology Related Majors >

Notes and References

• The bars on the spread charts above show the distribution of the schools on this list +/- one standard deviation from the mean.
• The Integrated Postsecondary Education Data System ( IPEDS ) from the National Center for Education Statistics (NCES), a branch of the U.S. Department of Education (DOE) serves as the core of the rest of our data about colleges.
• Some other college data, including much of the graduate earnings data, comes from the U.S. Department of Education’s ( College Scorecard ).

More about our data sources and methodologies .

Popular Reports

Compare your school options.

Health, Brain, and Cognition Lab

Persistence pays: successful applicant to a clinical psychology phd. program tells what it’s like.

In the Voss lab, we have a diverse range of graduate students earning a PhD in either Behavioral and Cognitive Neuroscience, Neuroscience, or like our newest graduate student addition Liam, in Clinical Science. Applying to a PhD program can be incredibly confusing as the process varies depending on the program type and the specific school. For the sake of this post, I will be focusing on the application process to clinical psychology (aka clinical science) programs specifically. 

Clinical psychology PhD programs are unique as they can produce individuals who conduct research, practice as a clinician, or do a little bit of both in a multitude of settings. This is unlike a Master’s program where the training is much shorter and allows graduates to practice just as a clinician or requires additional training in a PhD program to be able to conduct research. Further, PsyD programs are similar to PhD programs, however they differ as their primary focus is on clinical practice and typically produce sole clinicians. The combination of training to reach expert levels in both clinical work and research conduction is specific to clinical psychology programs. 

Clinical psychology programs are rigorous and commonly last 6 years where 5 years are a combination of classes, clinical work, research, and working on and defending your dissertation. The 6 th year is spent ‘on internship’ where an in-depth clinical training experience, typically at a different institution, takes place. It is common to find clinical psychologists in academic medical centers, hospitals, colleges, or universities, primary or secondary education schools, and private practices. Whether conducting research in a laboratory setting or working with patients in a clinical setting, clinical psychologists typically work in the realm of assessment, diagnosis, and treatment of mental, emotional, and behavioral disorders in a range of individuals (U.S. Bureau of Labor Statistics, 2023). 

Each program will provide students with clinical and research training, but each program has its own training model: some schools emphasize research relatively more than clinical training, clinical over research, or have an even split between the two. Deciding where to apply typically depends on one’s career goals. When applying, the applicant technically first must meet the requirements of the program although they are more so applying to a specific lab within the program. The options of where to apply can be limited depending on the application cycle as: 1) the school must have a clinical psychology training program, 2) the lab one is interested in needs to be accepting a student (labs do not take a student every year, typically due to funding), and 3) the lab should ideally fit with the applicant’s prior experiences and/or research interests. In my experience, I have seen clinical programs report receiving anywhere from 300-800 applications. The number of applications a program receives is the cumulative number of applications each lab at the school receives that year. On average, I have seen schools report taking cohort sizes of around 8-12 students. Typically, specific labs say that they receive at least 100 applications and usually have spots for only 1 or 2 students. Averaging these numbers makes a 1.8% chance of being accepted into a program and about a 1% chance of being accepted into a specific lab (this is the number that matters as you have to be accepted into a lab to be in the program). 

The application process can be expensive costing anywhere from $30 to more than $100 per application. In my experience, individuals apply to upwards of 8-12 schools but I have heard of individuals applying to as many as 20 schools in a given application cycle. Additionally, with the odds of being admitted into a program being so low, it is typical to not get accepted the first or even second time applying to programs, making repeat applicants common. To be as competitive as possible it is recommended (not required) to have postbaccalaureate research experience. Typically, you need to be in this position long enough to produce independent research projects to present as a poster or an oral presentation at national or international conferences. Additionally, it is common to see individuals with first author publications. Getting these experiences typically takes 2+ years with substantial time dedicated to research. 

Filling out applications is not a streamlined process. Each program has its own unique application form. In addition to asking for basic information such as your name, address, schools attended, classes taken, GPA, etc., it is standard for programs to ask for transcripts, 3 letters of recommendation (at least one is expected to be written by the supervisor of a lab you worked in or supervisors from clinical experience), a curriculum vitae, and perhaps the most important piece, the personal statement. 

The personal statement is typically 2-3 pages where you explain  why  you are interested in earning a PhD in clinical psychology,  what   area of research you’d like to pursue,  why   you are applying to this particular program and lab, and  how  your past experiences fit this narrative. This is perhaps the most important part of the application process, and it can take months to come up with a final draft. This statement typically has slightly different requirements per school and certainly needs to be unique to the lab you are applying to. This is an opportunity to convince the lab that you have experiences that relate to their work and offer a unique perspective that wins you an interview. For this reason, it is good to identify programs you are most interested in early, being the summer and the fall before you apply, so that you can reach out to the lab and the program. This ensures the lab you are interested in is taking a student this cycle and to assess your fit.

I personally found it impactful to email early, keep it short by briefly mentioning who I work with, my career goals, the broad scope of my projects, what I hope to do in graduate school in relation to their lab specifically, and find a way to include a fact that will help them remember me! For example, for one of the labs I ended up interviewing with, I mentioned how I am familiar with their work as the Voss Lab modified one of their cognitive computer tasks that I know well as I have administered and scored it. 

Typical due dates for clinical psychology applications are either November 15 th or December 1 st . Once materials are submitted, schools will reach out within a month or two. At this point, more and more labs are conducting ‘preliminary interviews’ where you ‘interview’ to get a spot for the official interview day, which can be virtual or in person. 

Given you are lucky enough to be offered a spot at one program or a few, it is time to decide if their stipend, program, research, location, etc. will be something you are happy with for at least 5 years. If you do not get any offers, it is time to decide if you want to go through this again and if so, start preparing for next year. 

As a multi-time applicant, I believe I made the biggest impact on my application in between the 2022 and 2023 application cycle (the most recent cycle). Everyone’s journey into a PhD program is unique and there is no one correct way to get in, which can be frustrating. In my personal experience the accomplishments that were most positively commented on by interviewers were: my diversified lab experiences, my submitted co-first author paper, giving a presentation at a high-profile conference in my field, submitting my first grant (National Science Foundation- Graduate Research Fellowship Program), and my plethora of experiences with research participants and clinical populations. Lastly, my network of individuals who are currently in PhD programs, are in the field of clinical psychology or related fields, or those who are just great at writing, has grown. Because of this, I was able to receive numerous different perspectives on how to best convey my experiences in a persuasive, clear, and professional way. I cannot thank all of the participants, patients, mentors, friends, and family enough who have supported me in my journey of applying to PhD programs!

Kelsey Baller has recently been accepted into the clinical psychology PhD program at Washington University in St. Louis. A graduate of the University of Iowa with a Bachelor of Science degree in psychology and a minor in Spanish, she has worked as a post-baccalaureate research assistant at the Health, Brain, and Cognition Lab for the past three years.

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Credit: Will Kirk / Johns Hopkins University

Johns Hopkins graduate programs again ranked among nation's best

'u.s. news & world report' includes 38 jhu programs among the top 10 in the u.s. in its annual rankings, including no. 1 ranked programs in nursing and public health.

By Hub staff report

Johns Hopkins University has 38 graduate schools, academic programs, and specialties ranked among the top 10 in the nation, including nine with No. 1 rankings, according to the latest edition of "Best Graduate Schools" from U.S. News & World Report , published earlier today.

Two schools at Hopkins—the Bloomberg School of Public Health and the School of Nursing —earned No. 1 rankings overall, and the School of Education entered the top 10, according to U.S. News & World Report .

Portions of the publication's annual list were released today but rankings for schools of medicine and engineering were delayed and will be released at a later date.

Among the new rankings released today:

The School of Nursing's DNP program ranked No. 1 for the third year in a row. Its master's degree programs tied at No. 1, up from No. 2 last year. In gerontology, the school moved up two spots to No. 1 for primary care, and up one spot to No. 2 for acute care. In other specialty areas, the School of Nursing's doctoral programs ranked:

• Psychiatric/mental health: No. 1
• Family: No. 3 (tied)
• Leadership: No. 4 (tied)
• Nursing Anesthesia: No. 36 (tie)

Public Health

The Bloomberg School retained its longtime No. 1 overall ranking among public health programs—it has held the top spot since 1994, the year the rankings began. In specialty areas, the Bloomberg School ranked:

• Environmental Health Sciences: No. 1
• Epidemiology: No. 1
• Health Policy and Management (Public Health): No. 1
• Social and Behavioral Sciences: No. 1
• Biostatistics: No. 2

Johns Hopkins tied at No. 8 in the Education category, up from No. 13 last year. The school also tied at No. 23 in higher education administration programs.

Public Affairs

Overall, Johns Hopkins programs in public affairs tied at No. 39. In subcategories, Johns Hopkins tied at No. 6 in Health Policy and Management (Public Affairs), No. 11 in International/Global Policy and Administration, and tied at No. 35 in Public Policy Analysis.

U.S. News & World Report updates some of its rankings each year and republishes the most recent rankings in other areas. Among the republished rankings for Hopkins, which are still current:

Biological Sciences

Hopkins is tied for No. 6 overall with six top 10 specialty rankings:

• Molecular biology: No. 3 (tie)
• Cell biology: No. 4
• Neuroscience: No. 4 (tie)
• Immunology: No. 5
• Genetics, genomics, and bioinformatics: No. 6 (tie)
• Biochemistry, biophysics, and structural biology: No. 8

Biostatistics

Hopkins is ranked No. 1 (tie) for Biostatistics at the doctoral level. (Note: U.S. News & World Report also ranks biostatistics as a sub-category of public health, where Hopkins is No. 2.)

The university is tied at No. 20 in Chemistry and ranks No. 9 in the Biochemistry subcategory.

Computer Science

The university is tied for No. 24 overall and tied at No. 21 in the specialty of Artificial Intelligence.

Earth Sciences

The university is tied at No. 30 in Earth Sciences.

Johns Hopkins' program in economics is tied at No. 22.

English tied at No. 13 overall with the following specialty rankings:

• Literary criticism and theory: No. 3
• British literature: No. 10 (tie)
• American literature after 1865: No. 17

Health Care Management

The university is No. 7.

Johns Hopkins ranks No. 10 overall, with the following specialty rankings:

• African-American history: No. 3 (tie)
• Cultural history: No. 4 (tie)
• U.S. Colonial history: No. 5 (tie)
• Women's history: No. 6 (tie)
• African history: No. 7 (tie)
• European history: No. 7 (tie)
• Modern U.S. history: No. 16 (tie)

Mathematics

Johns Hopkins is tied at No. 20 in Mathematics with the following specialty rankings: + Analysis: No. 18 (tie) + Algebra: No. 23 (tie) + Applied Math: No. 25

Overall, the university is tied at No. 13 with the following specialty rankings: + Living Systems: No. 5 (tie) + Cosmology: No. 7 + Condensed Matter: No. 13 (tie)

Political science

Overall, political science is tied at No. 41. In sub-categories, Johns Hopkins ranked: + Political theory: No. 8 (tie) + International politics: No. 24 (tie)

The university's graduate program in psychology is tied at No. 12 overall and tied at No. 5 in the subcategory of behavioral neuroscience.

Overall, sociology is tied at No. 29. The sub-category of sociology of population is tied at No. 17.

Posted in University News

Tagged u.s. news and world report , university rankings

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30 Best universities for Psychology in Moscow, Russia

Updated: February 29, 2024

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Below is a list of best universities in Moscow ranked based on their research performance in Psychology. A graph of 406K citations received by 66.7K academic papers made by 30 universities in Moscow was used to calculate publications' ratings, which then were adjusted for release dates and added to final scores.

We don't distinguish between undergraduate and graduate programs nor do we adjust for current majors offered. You can find information about granted degrees on a university page but always double-check with the university website.

1. Moscow State University

For Psychology

2. National Research University Higher School of Economics

3. Moscow Medical Academy

4. Russian National Research Medical University

5. RUDN University

6. Moscow Institute of Physics and Technology

7. National Research Nuclear University MEPI

8. Russian Presidential Academy of National Economy and Public Administration

9. Moscow State Pedagogical University

10. Finance Academy under the Government of the Russian Federation

11. Bauman Moscow State Technical University

12. Moscow State Institute of International Relations

13. N.R.U. Moscow Power Engineering Institute

14. Moscow Aviation Institute

15. Plekhanov Russian University of Economics

16. Russian State University for the Humanities

17. State University of Management

18. Russian State Social University

19. National University of Science and Technology "MISIS"

20. Moscow State Linguistic University

21. New Economic School

22. Russian State University of Oil and Gas

23. mendeleev university of chemical technology of russia.

24. Moscow Polytech

25. Moscow State University of Railway Engineering

26. National Research University of Electronic Technology

27. Moscow State Technological University "Stankin"

28. Pushkin State Russian Language Institute

29. Russian State Agricultural University

30. Moscow International University