PhD Minor in Statistics

Students outside statistics who wish to minor in Statistics must have a representative from the Field of Statistics on their committee. Coursework for a PhD minor follows either a Theoretical Statistics or Applied Statistics track with specific course recommendations listed below. 

The Field of Statistics offers three minor options in statistics.

Minor Option A: Theory & Methods

  1. Field representation: a Field of Statistics member must be asked, and agree, to serve as a minor member on the Special Committee of a doctoral student at least 6 months prior to either the A or B exams.
  2. Coursework: The student must take, or demonstrate proficiency in, a minimum of five courses in Statistics (letter grades only), achieving above a B average. Specifically, the following graduate-level coursework is required:
    • Probability: ORIE 6510 or equivalent;
    • Inference: ORIE 6700 or equivalent;
    • Linear or Generalized Linear Models: BTRY/ORIE/STSCI 7170 STSCI 7180 or equivalent.
    • Electives: At least one other course with a high level of content relevant to applied or theoretical statistics or probability, the final decision being up to the faculty member representing the field of statistics.

Minor Option B: Applied Statistics

  1. Field representation: a Field of Statistics member must agree to serve as a minor member on the Special Committee of a doctoral student at least 6 months prior to either the A or B exams.
  2. Coursework: The student must take, or demonstrate proficiency in, a minimum of five courses in Statistics (letter grades only), achieving above a B average. Specifically, the following graduate-level coursework is required:
    • Probability: BTRY/STSCI 3080, ECON 3130, ORIE 3500, Math 4710 or equivalent;
    • Inference: BTRY/STSCI 4090, Math 4720 or equivalent;
    • Regression Modeling: BTRY 4030 or a related course with detailed coverage of linear and multiple linear regression at the matrix algebra level.
    • Electives: At least two other courses with a high level of content relevant to applied statistics, the final decision being up to the faculty member representing the field of statistics.

Minor Option C: Data Science

  1. Field representation: a Field of Statistics member must agree to serve as a minor member on the Special Committee of a doctoral student at least 6 months prior to either the A or B exams.
  2. Coursework: The student must have the knowledge of the topics covered in an introductory statistics course (such as BTRY 6010).  The student must also take, or demonstrate proficiency in, a minimum of five courses in Statistics (letter grades only), achieving above a B average. Specifically, the following coursework is required:
    • Regression Modeling: BTRY 4030 or a related course with detailed coverage of linear and multiple linear regression at the matrix algebra level;
    • Machine Learning: STSCI 4740 or a related course with coverage of Data Mining and Machine Learning;
    • Big Data Computing: Two courses from STSCI 4060, STSCI 5060, STSCI 5065, or equivalent;
    • Electives: At least one other course with a high level of content relevant to data science, the final decision being up to the faculty member representing the field of statistics.

The three minor options described above can be used to satisfy the minor degree requirements for PhD students whose primary field is not Statistics.