Ph.D. in Statistics & Data Science - Informatics Track

Informatics Track PhD

Ph.D. requirements include coursework and the composition of a dissertation. A large majority of our students complete the program in 5-6 years. 
 

A minimum of 62 units of coursework, plus minor units (usually 9 – 12 units depending on the rules for your minor), with at least a 3.0 overall GPA, past the Bachelor’s Degree is required, made up as follows:

PhD Major Coursework - 62 units

18 units from the set of the following Core Statistics courses:

  • STAT 564/MATH 564 – Theory of Probability
  • STAT 566/MATH 566 – Theory of Statistics
  • STAT 571A/MATH 571A – Advanced Statistical Regression Analysis
  • STAT 571B/MATH 571B – Design of Experiments
  • MATH 574M - Machine Learning
  • STAT 688A and STAT 688B/ABE 688/BIOS 688 – Statistical Consulting

  • MATH 523A – Real Analysis, or
  • MATH 527B – Principles of Analysis
  • STAT 567A/MATH 567A – Theoretical Statistics I
  • STAT 675 – Statistical Computing
  • STAT 687/BIOS 687/EPID 687 – Theory of Linear Models
  • PHCL 595B – Scientific Writing  Presentation and Bio Ethics, or
  • IMB 521 – Scientific Grantsmanship

Complete list of courses, including course descriptions, prerequisites, and semesters offered.

As per Graduate College requirements, a minimum of 18 units in the PhD program of study must include dissertation credits.  These are used to undertake the PhD research.  Registration for any units of STAT 920 is restricted to students who have assembled an active, complete PhD Comprehensive Examination Committee (see below).  Students who wish to undertake research coursework prior to assembling a Comprehensive Committee may consider STAT 599 and/or STAT 900 as possible alternatives; however, a maximum of only 6 units from STAT 599 and/or STAT 900 may be applied to the PhD program of study. A form is required for STAT 599.

Courses may be added to or removed from this list by action of the Statistics GIDP Curriculum Committee, after approval by the GIDP Executive Committee. See Program Handbook for more information.

Students are expected to complete their Communication Requirements by the time of their graduation.

Students are offered two opportunities to pass their Qualifying Exams

PhD Minor Coursework

Once a minor is chosen the student must check with the minor department to determine the required coursework and number of units.  Some minors require 9 units and some minors require 12 or more units.

Where needed to suit a particular or specialized need in an individual student’s program of study, petition may be made to the GIDP Executive Committee for approval of a UA minor not listed above to satisfy the minor requirement.  The student must be in good standing and must exhibit ongoing, satisfactory progress towards completion of the degree.  The burden of proof for admitting a commensurate, alternate minor rests with the student, and the decision of the committee will be final.

 

Extra Info

Courses may be added to or removed from this list by action of the Statistics GIDP Curriculum Committee, after approval by the GIDP Executive Committee. See Program Handbook for more information.

 

The average time to completion for a Ph.D. in Statistics & Data Science is 5.49 years.

First, you apply to the program.  Once you have been recommended for admittance you will automatically be considered for a teaching assistantship.

While an undergraduate or MS degree in Statistics is beneficial, it is not required.  See the Admissions page for more information on the admissions requirements.

Here is a partial list of where recent Phd graduates began their careers:

  • Allen Institute
  • Abbvie
  • California State University at Chico
  • Critical Path Institute
  • Raytheon
  • Ancestry.com
  • University of Vermont
  • Bio5 Institute University of Arizona
  • Wish
  • Oberlin College
  • University of Nevada, Reno
  • Ventana Medical Systems
  • Tennessee Health Center
  • University of Rochester

To see the coursework requirements go to the Coursework Requirements page on the SDS GIDP website. 

All students entering any Statistics & Data Science Program are required to have a substantive background in mathematics, including at least three semesters of Calculus through multivariable/vector calculus, one semester of Linear Algebra, and experience with computer technologies.

Go to the Admissions Requirements page on the SDS GIDP website.