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Students
Tuition Fee
Start Date
Medium of studying
Duration
Program Facts
Program Details
Degree
PhD
Major
Mathematical (Theoretical) Statistics | Statistics | Probability Theory
Area of study
Mathematics and Statistics
Course Language
English
About Program

Program Overview


The flexible curriculum allows for specialization in various areas, and students collaborate with renowned faculty on cutting-edge research projects. Graduates are well-prepared for careers in academia, industry, and government, where they can apply their advanced statistical skills to solve complex problems and contribute to the field.

Program Outline


Degree Overview


Overview:

The PhD in Statistics program at Arizona State University is designed to provide students with a thorough understanding of theoretical, applied, and computational tools in statistics. As a student in this program, you will be encouraged to tailor your program of study to align with your personal interests and goals, allowing you to explore diverse research areas with guidance from the faculty.


Objectives:

The program aims to prepare students for successful careers in various fields by equipping them with the necessary skills to:

  • Apply advanced statistical methods in research and practical applications.
  • Formulate and address original research questions in statistics.
  • Conduct independent research and contribute to the field of statistics.

Description:

This PhD program offers a flexible curriculum that allows students to specialize in different areas of statistics according to their interests. The program emphasizes both theoretical foundations and practical applications, ensuring you gain a well-rounded understanding of the field. You will have the opportunity to collaborate with leading faculty members on cutting-edge research projects, preparing you for future success in research or industry.


Outline


Program Content:

The PhD in Statistics program consists of coursework, research, and a dissertation.


Coursework:

  • Required Core:
  • STP 526 Theory of Statistical Linear Models (3 credits)
  • Other Requirements:
  • 15 credits of additional courses chosen from a list of approved options in statistics or related fields.
  • Research:
  • 12 credits of research coursework.
  • Culminating Experience:

Modules:

  • Mathematical Statistics: Covers advanced topics in probability theory, statistical inference, and linear models.
  • Applied Statistics: Focuses on real-world applications of statistical methods in various fields, such as business, engineering, and social sciences.
  • Statistical Computing: Trains students in using advanced software tools for data analysis and statistical modeling.
  • Research Methods: Provides guidance on conducting independent research, including formulating research questions, designing studies, analyzing data, and writing research papers.

Assessment


Assessment Methods:

Students are assessed through a combination of exams, assignments, and a dissertation.


Exams:

  • Qualifying Exam: Tests the student's knowledge of analysis and coursework.

Dissertation:

The dissertation is a major research project that requires students to demonstrate their ability to conduct independent research, analyze data, and write a scholarly document.


Teaching


Teaching Methods:

The program utilizes a variety of teaching methods, including lectures, seminars, discussions, and hands-on projects. Students are encouraged to actively participate in class and engage with the faculty and their peers.


Faculty:

The program boasts a distinguished faculty of experienced researchers and educators with expertise in various areas of statistics.


Unique Approaches:

  • Emphasis on real-world applications of statistics through case studies and projects.
  • Collaboration with faculty on cutting-edge research projects.
  • Access to specialized software and computing resources.

Careers


Potential Career Paths:

Graduates of the PhD in Statistics program have a wide range of career opportunities in diverse fields, including:

  • Academia: Research positions at universities and research institutions
  • Industry: Statistical analysis, data mining, and data science roles in various industries, such as finance, technology, and healthcare
  • Government: Statistical analysis and research positions in government agencies

Other


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Arizona State University: A Comprehensive Overview


Overview:

Arizona State University (ASU) is a top-ranked research university located in the greater Phoenix metropolitan area. It is known for its innovative approach to education, offering a wide range of undergraduate and graduate programs across various disciplines. ASU is recognized for its commitment to inclusivity, serving learners at all stages of life and fostering a diverse and welcoming community.


Services Offered:

ASU provides a comprehensive range of services to support student success, including:

    Academic Support:

    Tutoring, advising, and academic success resources.

    Financial Aid:

    Scholarships, financial aid programs, and tuition assistance.

    Student Life:

    Housing and dining, clubs and activities, health and wellness services, and transportation.

    Career Services:

    Job and career resources, internship opportunities, and career counseling.

Student Life and Campus Experience:

ASU offers a vibrant and engaging campus experience with a strong sense of community. Students can participate in a wide array of clubs, organizations, and events, fostering personal growth and development. The university's diverse student body creates a rich cultural environment, promoting global perspectives and intercultural understanding.


Key Reasons to Study There:

    Top-Ranked Programs:

    ASU boasts numerous top-ranked programs, including 82 programs ranked in the top 25 nationally, with 37 in the top 10.

    Innovative Learning Environment:

    ASU embraces a flexible and personalized approach to learning, allowing students to customize their academic journey.

    World-Class Faculty:

    Students benefit from instruction led by renowned professors and researchers, many of whom are leaders in their fields.

    Global Impact:

    ASU is consistently ranked among the top universities for global impact, demonstrating its commitment to addressing global challenges.

    Diverse and Inclusive Community:

    ASU fosters a welcoming and inclusive environment, embracing students from all backgrounds and promoting a sense of belonging.

Academic Programs:

ASU offers over 800 degree programs across a wide range of disciplines, including:

    Undergraduate:

    More than 400 undergraduate degrees in fields such as engineering, journalism, business, sustainability, nursing, education, and more.

    Graduate:

    Over 450 graduate degrees, including master's and doctoral programs.

Other:

ASU is known for its commitment to research and innovation, with a strong focus on addressing real-world challenges. The university is also a leader in sustainability, promoting environmental responsibility and social justice.

Total programs
1434
Average ranking globally
#58
Average ranking in the country
#40
Admission Requirements

Entry Requirements:


For all applicants:

  • Degree: Bachelor's or Master's degree in mathematics, statistics, or a closely related field from a regionally accredited institution.
  • GPA: 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.
  • Coursework: Completion of the following courses (equivalents at ASU are given in parentheses):
  • Calculus (MAT 270, 271, and 272)
  • Advanced calculus (MAT 371)
  • Linear algebra (MAT 342)
  • Computer programming (CSE 100)
  • Introductory applied statistics (STP 420)

Additional requirements for international students:

  • Proof of English proficiency: Required regardless of current residency.

Language Proficiency Requirements:

  • English proficiency test score: Required for all applicants whose native language is not English.

Additional Notes:

  • Applicants who lack any of the prerequisite courses must complete them before being considered for admission.
  • Applicants need to have a strong academic background in mathematics and statistics, including specific coursework and potentially standardized test scores. They also need to demonstrate proficiency in English if it is not their native language.
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