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Academic Calendars

BSc or BA (120 credit hour) Double Major in Statistics and another subject

The Double Major degree program allows students to combine a study of Statistics with another subject. The other subject may be any discipline from the Faculty of Science, the Faculty of Arts and Social Sciences, the Faculty of Computer Science or the College of Sustainability. Statistics may be the primary subject (defined as the subject with the larger number of credits), or the secondary subject. If the primary subject area is from the Faculty of Arts and Social Sciences, the degree granted will be a BA.

It is recommended that students enrolled in a Double Major program consult with advisors in both subject areas.

Departmental requirements

Students in a BSc or BA Double Major in Statistics and another subject must fulfill the requirements outlined in the Academic Regulations and College of Arts and Science Degree Requirements sections.

  • Courses must include:
  • Math 1030.03: Matrix Theory and Linear Algebra I
  • MATH 2001.03: Intermediate Calculus I
  • STAT 2060.03: Introduction to Probability and Statistics
  • STAT 2080.03: Statistical Methods for Data Analysis and Inference
  • STAT 2450.03 Introduction to Data Mining with R
  • STAT 3340.03: Regression and Analysis of Variance
  • STAT 3360.03: Probability
  • STAT 3460.03: Intermediate Statistical Theory
  • One Statistics3 course at or above the 3000 level (3 credit hours)
  • Two Statistics3 or Mathematics4 course at or above the 3000 level (6 credit hours).

 

3Statistics courses are any courses listed or cross-listed as STAT (with the exception of STAT 3069)

43000 level mathematics courses can be chosen from the following list, and count toward the required credit hours in statistics:

  • MATH 3045: Curves and Surfaces
  • MATH 3080: Introduction to Complex Variables
  • MATH 3120: Differential Equations
  • MATH 3140: Introduction to Wavelets
  • MATH 3210: Introduction to Numerical Analysis
  • MATH 3260: Applied Differential Equations
  • MATH 3300: Optimization
  • MATH 3330: Applied Graph Theory
  • MATH 3400: Classical Game Theory
  • MATH 3500X/Y.06: Intermediate Analysis
  • MATH 3501: Intermediate Analysis I
  • MATH 3502: Intermediate Analysis II
  • MATH 3900: Financial Mathematics