UNIVERSITY OF CALIFORNIA, SAN DIEGO · UNITED STATES
Ph.D. in Mathematics with Specialization in Statistics
PhD · Taught in en
At a glance
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Tuition / yr
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PhD
Level
This Ph.D. program offers a specialization in Statistics within the broader Mathematics Ph.D. It is designed to equip students with a strong foundation in statistical theory and methods, applicable to diverse fields like science, engineering, finance, and government. The program aims to foster researchers who can contribute to the advancement of statistics in academia and industry, addressing the growing demand for expertise driven by big data and technological advancements.
Curriculum
The program requires 72 units for Ph.D. candidacy. This includes a core curriculum of 48 units, with students expected to complete most of these courses with advisor approval. Additional units are chosen from a list of electives. Practical data analysis experience through a consulting seminar is also mandatory.
- Core Curriculum (48 units)
- Probability TheoryMath 280ABC
- Mathematical StatisticsMath 281ABC
- Applied StatisticsMath 282AB
- Time Series AnalysisMath 287A
- Multivariate AnalysisMath 287B
- Advanced Time Series AnalysisMath 287C
- Statistical LearningMath 287D
- Electives (selected to complete 72 units)
- Applied Algebra IMath 202A
- Real AnalysisMath 240ABC
- Functional AnalysisMath 241AB
- Probabilistic Combinatorics and AlgorithmsMath 261ABC
- Numerical AnalysisMath 270AB
- Numerical OptimizationMath 271ABC
- Statistical Methods in BioinformaticsMath 283
- Stochastic ProcessesMath 285
- Topics in Probability and StatisticsMath 289AB
- The Mathematics of FinanceMath 294
Frequently asked questions
- What are the academic entry requirements for the Ph.D. in Mathematics with a Specialization in Statistics?
- Applicants must apply to the Ph.D. program in Mathematics at UC San Diego, demonstrating strong preparation in statistics and mathematics. Computer literacy, including programming languages and statistical software, is highly desirable.
- What is the structure of the Ph.D. program in Statistics?
- The program requires 72 units for Ph.D. candidacy, including a core curriculum of 48 units and additional elective units. A mandatory consulting seminar provides practical data analysis experience.
- How do I apply to this Ph.D. program?
- You need to submit an online application to the main Ph.D. program in Mathematics at UC San Diego. Ensure all required sections are completed accurately and prepare supporting documents such as transcripts and letters of recommendation.
- When can I expect to be invited for interviews?
- Top applicants are typically invited for campus visits and faculty interviews in February and March.
- Where can I find information about tuition and living costs for international students?
- Specific tuition and living cost information for international students is not provided on the program pages. Applicants are directed to the general UC San Diego graduate admissions and financial aid resources.
- What are the career prospects after completing this program?
- Graduates are prepared for research roles in academia and various industries, addressing the need for statistical expertise in data-driven fields.
Entry requirements
Undergraduate DegreeApplicants must apply to the Ph.D. program in Mathematics. Strong preparation in statistics and mathematics is expected.
Demonstration of computer literacy, including knowledge of a programming language (e.g., PERL, C) and statistical software (e.g., SAS, R, STATA), is highly desirable. Deficiencies may need to be addressed upon entry.
Fees
Tuition (international)—
Tuition (home)—
Living—
Specific tuition and living cost information for international students is not provided on the program pages. Applicants are directed to the general UC San Diego graduate admissions and financial aid resources.
How to apply
1. Submit Online ApplicationComplete the UC San Diego Graduate Application online. Ensure all required sections are filled out accurately.
2. Provide Contact InformationInclude a correct phone number and email address, as the program office may contact you for interviews or further information during the winter and spring months.
3. Prepare Supporting DocumentsWhile specific documents for the Statistics specialization are not detailed, typical graduate applications require transcripts, GRE scores (if applicable), letters of recommendation, and a statement of purpose.
4. Highlight Relevant SkillsEmphasize any computer literacy, programming language experience (e.g., PERL, C), and familiarity with statistical software (e.g., SAS, R, STATA) in your application.
Frequently asked questions
What are the academic entry requirements for the Ph.D. in Mathematics with a Specialization in Statistics?
+
Applicants must apply to the Ph.D. program in Mathematics at UC San Diego, demonstrating strong preparation in statistics and mathematics. Computer literacy, including programming languages and statistical software, is highly desirable.
What is the structure of the Ph.D. program in Statistics?
+
The program requires 72 units for Ph.D. candidacy, including a core curriculum of 48 units and additional elective units. A mandatory consulting seminar provides practical data analysis experience.
How do I apply to this Ph.D. program?
+
You need to submit an online application to the main Ph.D. program in Mathematics at UC San Diego. Ensure all required sections are completed accurately and prepare supporting documents such as transcripts and letters of recommendation.
When can I expect to be invited for interviews?
+
Top applicants are typically invited for campus visits and faculty interviews in February and March.
Where can I find information about tuition and living costs for international students?
+
Specific tuition and living cost information for international students is not provided on the program pages. Applicants are directed to the general UC San Diego graduate admissions and financial aid resources.
What are the career prospects after completing this program?
+
Graduates are prepared for research roles in academia and various industries, addressing the need for statistical expertise in data-driven fields.