texas a&m university statistics phd

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The aim of the Statistics PhD program at Texas A&M University is to provide comprehensive and balanced training in statistical methods and statistical theory.

Texas A&M University Multiple locations College Station , Texas , United States Top 1% worldwide Studyportals University Meta Ranking 4.5 Read 33 reviews

Particular emphasis will be placed on training students to independently recognize the relevance of statistical methods to the solution of specific problems and to enable them to develop new methods when they are needed.

The training will also aim at conveying a sound knowledge of existing statistical theory, including the mathematical facility to develop new results in statistical methodology. At the same time, the program will be kept sufficiently flexible to permit students to develop their specific interests.

Graduates of the Statistics program at Texas A&M University will be well prepared to enter higher education, private or public industry, and much more.

Programme Structure

Courses include:

• Statistical Analysis
• Topics in Statistical Computations
• Regression Analysis
• Theory of Statistics - Distribution Theory
• Theory of Statistics - Inference
• Probability for Statistics
• Statistical Aspects of Machine Learning

Key information

• 60 months

Start dates & application deadlines

• Apply before 2025-01-10 00:00:00
• 64 hours beyond a master’s or 96 hours beyond a baccalaureate degree

Disciplines

Academic requirements.

We are not aware of any specific GRE, GMAT or GPA grading score requirements for this programme.

English requirements

Student insurance.

Make sure to cover your health, travel, and stay while studying abroad. Even global coverages can miss important items, so make sure your student insurance ticks all the following:

• Additional medical costs (i.e. dental)
• Repatriation, if something happens to you or your family
• Home contents and baggage

We partnered with Aon to provide you with the best affordable student insurance, for a carefree experience away from home.

Starting from €0.53/day, free cancellation any time.

Remember, countries and universities may have specific insurance requirements. To learn more about how student insurance work at Texas A&M University and/or in United States, please visit Student Insurance Portal .

Other requirements

General requirements.

• Application & Fee
• Official Transcripts and Records. You must submit transcripts from all colleges or universities attended (excluding community colleges).
• Official Test Scores & English Proficiency
• Letters of Recommendation
• Statement of Purpose
• Resume or Curriculum Vitae

Tuition Fee

International, living costs for college station.

The living costs include the total expenses per month, covering accommodation, public transportation, utilities (electricity, internet), books and groceries.

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Scholarships Information

Below you will find PhD's scholarship opportunities for Statistics.

Available Scholarships

You are eligible to apply for these scholarships but a selection process will still be applied by the provider.

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Ph.D. in Statistics

Our doctoral program in statistics gives future researchers preparation to teach and lead in academic and industry careers.

Program Description

Degree type.

approximately 5 years

The relatively new Ph.D. in Statistics strives to be an exemplar of graduate training in statistics. Students are exposed to cutting edge statistical methodology through the modern curriculum and have the opportunity to work with multiple faculty members to take a deeper dive into special topics, gain experience in working in interdisciplinary teams and learn research skills through flexible research electives. Graduates of our program are prepared to be leaders in statistics and machine learning in both academia and industry.

The Ph.D. in Statistics is expected to take approximately five years to complete, and students participate as full-time graduate students.  Some students are able to finish the program in four years, but all admitted students are guaranteed five years of financial support.  

Within our program, students learn from global leaders in statistics and data sciences and have:

20 credits of required courses in statistical theory and methods, computation, and applications

18 credits of research electives working with two or more faculty members, elective coursework (optional), and a guided reading course

Dissertation research

Coursework Timeline

Year 1: focus on core learning.

The first year consists of the core courses:

• SDS 384.2 Mathematical Statistics I
• SDS 383C Statistical Modeling I
• SDS 387 Linear Models
• SDS 384.11 Theoretical Statistics
• SDS 383D Statistical Modeling II
• SDS 386D Monte Carlo Methods

In addition to the core courses, students of the first year are expected to participate in SDS 190 Readings in Statistics. This class focuses on learning how to read scientific papers and how to grasp the main ideas, as well as on practicing presentations and getting familiar with important statistics literature.

At the end of the first year, students are expected to take a written preliminary exam. The examination has two purposes: to assess the student’s strengths and weaknesses and to determine whether the student should continue in the Ph.D. program. The exam covers the core material covered in the core courses and it consists of two parts: a 3-hour closed book in-class portion and a take-home applied statistics component. The in-class portion is scheduled at the end of the Spring Semester after final exams (usually late May). The take-home problem is distributed at the end of the in-class exam, with a due-time 24 hours later. 

Year 2: Transitioning from Student to Researcher

In the second year of the program, students take the following courses totaling 9 credit hours each semester:

• Required: SDS 190 Readings in Statistics (1 credit hour)
• Required: SDS 389/489 Research Elective* (3 or 4 credit hours) in which the student engages in independent research under the guidance of a member of the Statistics Graduate Studies Committee
• One or more elective courses selected from approved electives ; and/or
• One or more sections of SDS 289/389/489 Research Elective* (2 to 4 credit hours) in which the student engages in independent research with a member(s) of the Statistics Graduate Studies Committee OR guided readings/self-study in an area of statistics or machine learning. 
• Internship course (0 or 1 credit hour; for international students to obtain Curricular Practical Training; contact Graduate Coordinator for appropriate course options)
• GRS 097 Teaching Assistant Fundamentals or NSC 088L Introduction to Evidence-Based Teaching (0 credit hours; for TA and AI preparation)

* Research electives allow students to explore different advising possibilities by working for a semester with a particular professor. These projects can also serve as the beginning of a dissertation research path. No more than six credit hours of research electives can be taken with a single faculty member in a semester.

Year 3: Advance to Candidacy

Students are encouraged to attend conferences, give presentations, as well as to develop their dissertation research. At the end of the second year or during their third year, students are expected to present their plan of study for the dissertation in an Oral candidacy exam. During this exam, students should demonstrate their research proficiency to their Ph.D. committee members. Students who successfully complete the candidacy exam can apply for admission to candidacy for the Ph.D. once they have completed their required coursework and satisfied departmental requirements. The steps to advance to candidacy are:

• Discuss potential candidacy exam topics with advisor
• Propose Ph.D. committee: the proposed committee must follow the Graduate School and departmental regulations on committee membership for what will become the Ph.D. Dissertation Committee
•   Application for candidacy

Year 4+: Dissertation Completion and Defense

Students are encouraged to attend conferences, give presentations, as well as to develop their dissertation research. Moreover, they are expected to present part of their work in the framework of the department's Ph.D. poster session.

Students who are admitted to candidacy will be expected to complete and defend their Ph.D. thesis before their Ph.D. committee to be awarded the degree. The final examination, which is oral, is administered only after all coursework, research and dissertation requirements have been fulfilled. It is expected that students will be prepared to defend by the end of their fifth year in the doctoral program.

General Information and Expectations for All Ph.D. students

• 2023-24 Student Handbook
• Annual Review At the end of every spring semester, students in their second year and beyond are expected to fill out an annual review form distributed by the Graduate Program Administrator. 
• Seminar Series All students are expected to attend the SDS Seminar Series
• SDS 189R Course Description (when taken for internship)
• Internship Course Registration form
• Intel Corporation
• Berry Consultants

Attending Conferences 

Students are encouraged to attend conferences to share their work. All research-related travel while in student status require prior authorization.

• Request for Travel Authorization (both domestic and international travel)
• Request for Authorization for International Travel  

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• Department of Statistics

College Station, TX

Department of Statistics / Department of Statistics is located in College Station, TX, in a suburban setting.

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PhD in Business Administration: Organizational Behavior & Human Resource Management Emphasis

Research in Organizational Behavior & Human Resource Management

The UIC PhD in Business Administration with an area of emphasis in Organizational Behavior & Human Resource Management provides its students with the opportunity to explore a variety of topics within the disciplines of Human Resource Management (HRM) and Organizational Behavior (OB). Our doctoral program places primary emphasis on the development of OB and HR students who are well versed in contemporary research and to communicate their work as educators and published experts in their fields. Students in the doctoral program are required to commit full-time attention to our program; part-time enrollment is not allowed. Completion of the program requires a full-time commitment for 4-5 years.

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Admission heading link copy link.

Admission is competitive and applicants are considered on an individual basis. The college considers applications for full time degree seeking status for the Fall term only. The deadline to submit the application, fee and required materials is January 15. Please see the admissions section of our catalog for application requirements.

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Learn more about the program requirements.

Requirements

Minimum Semester Hours Required: 96 from the baccalaureate, 64 from the MBA

Course Work:  Two-course requirement in mathematics, statistics, or computing; a four-course breadth requirement (four MBA core courses, no two of which are from the same functional area and none of which is from the area of inquiry); and a six-course depth requirement (advanced courses, at least two of which are sufficiently rigorous to provide the basis for the qualifying exam). Following the qualifying exam, additional course requirements are determined by the student’s adviser.

Qualifying Examination : A written exam, based upon courses used for the student’s depth requirement, is required and will be administered by faculty in the student’s area of inquiry.

Preliminary Examination : A written and/or oral exam, addressing advanced material in the area of inquiry and/or the student’s plans for dissertation research, is required.

Dissertation : The PhD dissertation is the capstone of our doctoral education program, and is pursued after successful completion of the preliminary exam. The dissertation signifies individual competence as a researcher, and, as a public document, represents the researcher to his or her professional peers.

For a full list of both degree and admissions requirements, please visit the UIC Catalog .

Program Timetable Example

Fall: MGMT 573 (Research Methods) or MGMT 576 (Seminar in Organizational Behavior) statistics/methods course; Elective seminar (MGMT 587or 589), or a seminar from another department/college; generate idea for qualifying paper

Spring: MGMT 575 (Seminar in HR) and/or Elective seminar (MGMT 587or 589), or a seminar from another department/college statistics/methods course; begin conducting qualifying paper research

Fall: MGMT 573 (Research Methods) or MGMT 576 (Seminar in Organizational Behavior) statistics/methods course; elective seminar (MGMT 587or 589), or a seminar from another department/college; work on qualifying paper

Spring: MGMT 575 (Seminar in HR) and/or elective seminar (MGMT 587or 589), or a seminar from another department/college statistics/methods course; complete and present qualifying paper

Fall: Take preliminary exam; teach one course

Spring: Dissertation proposal defense; teach one course

Fall: Dissertation; teach one course

Spring: Dissertation (continue into year 5 if required); teach one course

Explore the UIC Catalog

Program faculty heading link copy link, sandy j. wayne, robert c. liden, john wiley lynch, harshad puranik, zhenyu yuan, katherine bae, about the program heading link copy link, small and interactive.

We keep the size of our program small so that we can provide a highly customized program with extensive student-faculty interaction. This means that we only admit 1-3 new students per year, with a total of 8-12 students in our program at any point in time. Although our minimum GMAT requirement is 550, the average GMAT of incoming students over the past 8 years has been 690. We also consider grades and courses taken as well as the quality of schools attended for undergraduate and master’s degrees. Finally, we consider applicant research interests relative to the expertise of our faculty. Although most of our applicants have master’s degrees, it is not required to have a master’s degree in order to be considered for our doctoral program.

PhD Research Partnerships with Faculty

We have developed a strong research culture, with students working with faculty and/or other students on numerous research projects. Nearly all of our students graduate with several peer-reviewed journal publications to their credit.

Strong Research Focus

Our program is highly focused on research. Students are required to take seminars on OB, HR, research methods, statistics and electives from our department as well as other departments on campus, such as psychology, sociology and educational psychology.

International Recognition

Our program is highly visible internationally. Robert Liden is the former president of the Organizational Behavior Division of the Academy of Management. Professor Sandy Wayne served recently as president of the Human Resource Management Division of the AOM and is now an acting representative on the AOM Board of Governors.

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2024 placements.

• Jingfeng Yin, The Hong Kong Polytechnic University

2023 Placements

• Ui Young Sun, Monash University, Melbourne, Australia

2022 Placements

• Howie (Haoying) Xu, Stevens Institute of Technology
• Adaora Ubaka, University of Massachusetts, Amherst
• Brittany Buis, Northern Illinois University

2021 Placements

• Kathy (Jiaqing) Sun, London School of Economics, UK
• Xinxin Lu, Hunan University, Changsha, China
• Chandu Pathki, Texas Tech University
• Meng Zhong, Xi’an Jiaotong University, China

2020 Placements

• Arjun Mitra, California State University at Los Angeles.

2019 Placements

• Eric Michel, Northern Illinois University
• Jarvis Smallfield, University of Illinois Urbana-Champaign, Post Doc
• Siting Wang, Hong Kong Baptist Universit
• Bingqing Wu, Univeristy of Wisconsin, Parkside

2018 Placements

2018 No placements

2017 Placements

• Junfeng Wu, University of Texas at Dallas

2016 Placements

• Courtney Masterson University of San Francisco
• Jeremy Meuser, Texas Tech University
• Haesang Park, Tulane University

2015 Placements

• Aarn Cao, Renmin University

2014 Placements

• Chenwei Liao, Michigan State University

2013 Placements

• Dayo Akinlade, PhD ’13, St. Xavier University
• Morgan Wilson, Mount St. Mary’s University

2012 Placements

Jasmine Hu, University of Notre Dame

2011 Placements

• Smriti Anand, Illinois Institute of Technology
• Grace Lemmon, DePaul University

2009 Placements

• Brian Glibkowski, Stonehill College, Mass.
• David Henderson, Cass School of Business, London
• Prajya Vidyarthi, University of Texas-El Paso

2008 Placements

• Anjali Chaudhry, Dominican University, Chicago

2006 Placements

• Hao Zhou, Rensselaer Polytechnic Institute
• Selena Yuan, Foresight International, Inc.
• Jesus Bravo, Arizona State University Polytechnic Campus
• Monica Gavino, St. Xavier University
• Gary Vanderlinden, Geminus Corp.

2004 Placements

• George Meier, Robert Morris College
• Peter Thompson, UIC
• Patrick Murphy, DePaul University

2003 Placements

Andy Klein, DeVry University

2002 Placements

• Karen Anderson, Robert Morris College
• Lisa Bradway, Texas A & M
• Berrin Erdogan, Portland State University

1994 Placements

• Maria Kraimer, University of Iowa

1998 Placements

• Ray Sparrowe, Washington University
• Chris Leeds, Dominican University of California
• Rob Singh, Morgan State University
• Marjolijn Van der Velde, Davenport University

1997 Placements

• Susan Murphy, California Lutheran University
• Ken Weidner, Saint Joseph’s University (Pennsylvania)

1995 Placements

• Janet Szumal, Human Synergistics
• Ralph Masi, Pentagon

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Learn more about our program through our current students. Read about their backgrounds and see their current research interests. Click here to see all of our current doctoral students.