Statistics
A VARIETY OF PROGRAMS LEADING TO THE DEGREE OF BACHELOR OF SCIENCE. Statistics Undergraduate Advising information can be found here.
The Minor in Statistics is available to students registered in the BA, BSc and BCS 120 credit hour major, honours or 90 credit hour minor programs.
BSc/BA (90 Credit hour) Minor in Statistics
The 90 credit hour Minor in Statistics is appropriate for students who want to study some Statistics but do not wish to complete the conventional four-year program. The degree is best suited for students who want a general science degree with some specialization in Statistics. A 90 credit hour degree program is not suitable for students who wish to pursue graduate studies. With additional study, the degree may be upgraded to a 120 credit hour Major or Honours degree at a later date.
A 90 credit hour BSc or BA in Statistics is usually the preferred option for students who wish to combine studies in Statistics with a degree in Engineering (see BSc/BEng or BA/BEng Concurrent Program).
BSc/BA (120 Credit hour) Minor in Statistics
The 120 credit hour Minor in Statistics is available to students registered in a Bachelor of Applied Computer Science, Bachelor of Arts, Bachelor of Commerce, Bachelor of Community Design, Bachelor of Computer Science, Bachelor of Informatics, Bachelor of Management, Bachelor of Music, Bachelor of Science or Bachelor of Science (Medical Sciences) program.
Requirements (Minor)
A minimum of 18 to a maximum of 36 credit hours in Statistics, which must include:
- MATH 1030.03: Matrix Theory and Linear Algebra
- 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
- At least one additional statistics1 course at the 2000 level or above (3 credit hours)
- At least one additional statistics course at the 3000 level or above (3 credit hours)
Statistics courses are any courses listed or cross-listed as STAT, (including STAT 3069). The following can also be counted as 2000 level statistics credit hours:
- MATH 2001.03: Intermediate Calculus
- MATH 2002.03: Intermediate Calculus II
- MATH 2040.03: Matrix Theory and Linear Algebra II or Math 2135.03 Linear Algebra
- BIOL 4062.03: Analysis of Biological Data
For more information or to see descriptions of the above courses, please visit the Minor in Statistics listing in the Academic Calendar.
The 120 credit hour Major in Statistics is suited to students who want to focus on Statistics, but wish to have a program that is somewhat less constrained than the Honours program.
BSc/BA (120 credit hour) Double Major in Statistics
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.
Requirements (Major)
In addition to fulfilling the requirements outlined in the Academic Regulations and College of Arts and Science Degree Requirements sections, students in a BSc or BA Major program in Statistics must complete the following courses:
1000 level
- MATH 1000.03: Differential and Integral Calculus I/MATH 1010.03: Differential and Integral Calculus II or MATH 1215.03: Life Sciences Calculus/MATH 1010.03: Differential and Integral Calculus II
- STAT 1060.03: Introductory Statistics for Science and Health Sciences1
- Math 1030.03: Matrix Theory and Linear Algebra I
2000 level
- MATH 2001.03: Intermediate Calculus I
- MATH 2002.03: Intermediate Calculus II or MATH 2505: Introductory Analysis or STAT 2450: Data Visualization
- MATH 2040.03: Matrix Theory and Linear Algebra II or MATH 2135.03: Linear Algebra
- CSCI 2202.03: Computer modelling for scientists
- STAT 2060.03: Introduction to Probability and Statistics
- STAT 2080.03: Statistical Methods for Data Analysis and Inference2
- STAT 2450.03: Introduction to Data Mining with R
3000 level
- STAT 3340.03: Regression and Analysis of Variance
- STAT 3360.03: Probability
- STAT 3460.03: Intermediate Statistical Theory
- One Statistics course (3 credit hours) at or above the 3000 level.
- One Statistics course (3 credit hours) at the 4000 level
- One of STAT 3350: Design of Experiments, STAT 3380: Sample Survey Methods, STAT 3450: Statistical Learning with R, STAT 3740: Predictive Analytics
1The requirement to take STAT 1060.03: Introductory Statistics for Science and Health Sciences may be waived for students entering the program in their second year.
2Some students may take STAT 2080.03 in the first year of their degree program.
3Statistics courses are any courses listed or cross-listed as STAT (with the exception of STAT 3069)
The following courses are also counted as Statistics credit hours:
MATH 2001.03: Intermediate Calculus I
MATH 2002.04: Intermediate Calculus II
MATH 2040.03: Matrix Theory and Linear Algebra II
Students interested in a double major with Statistics as the second subject should consult the Faculty Advisor through whom a suitable class of study can be arranged.
Requirements (Double Major)
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
The Honours program in Statistics will provide students with a comprehensive knowledge of both theoretical and applied statistics and will enable students to move easily into challenging employment or Graduate Studies in Statistics.
Honours students must write a research-based Honours thesis. The research thesis and the Honours Qualifying Examination requirement are satisfied through completion of STAT 4950.03.
Admission to Honours
Students must APPLY for admission to Honours programs. Students considering Honours in Statistics should consult with a Statistics Honours Advisor early in their studies.
*Students interested in taking an Honours in Statistics program combined with another subject should consult the Statistics Advisor through whom a suitable course of study can be arranged.
Honours Requirements
In addition to fulfilling the requirements outlined in the Academic Regulations and College of Arts and Science Degree Requirements sections, students in a BSc or BA Major program in Statistics must complete the following courses:
1000 level
- MATH 1000.03: Differential and Integral Calculus I/MATH 1010.03: Differential and Integral Calculus II or MATH 1215.03: Life Sciences Calculus/MATH 1010.03: Differential and Integral Calculus II
- STAT 1060.03: Introductory Statistics for Science and Health Sciences1
- Math 1030.03: Matrix Theory and Linear Algebra I
2000 level
- MATH 2001.03: Intermediate Calculus I
- MATH 2002.03: Intermediate Calculus II or MATH 2505: Introductory Analysis or STAT 2450: Data Visualization
- MATH 2040.03: Matrix Theory and Linear Algebra II or MATH 2135.03: Linear Algebra
- CSCI 2202.03: Computer modelling for scientists
- STAT 2060.03: Introduction to Probability and Statistics
- STAT 2080.03: Statistical Methods for Data Analysis and Inference2
- STAT 2450.03: Introduction to Data Mining with R
3000 level
- STAT 3340.03: Regression and Analysis of Variance
- STAT 3360.03: Probability
- STAT 3460.03: Intermediate Statistical Theory
- One Statistics course (3 credit hours) at or above the 3000 level.
- One Statistics course (3 credit hours) at the 4000 level
- One of STAT 3350: Design of Experiments, STAT 3380: Sample Survey Methods, STAT 3450: Statistical Learning with R, STAT 3740: Predictive Analytics
1The requirement to take STAT 1060.03: Introductory Statistics for Science and Health Sciences may be waived for students entering the program in their second year.
2Some students may take STAT 2080.03 in the first year of their degree program.
3Statistics courses are any courses listed or cross-listed as STAT (with the exception of STAT 3069)
Combined Honours Requirements
Students interested in taking honours in Statistics combined with another subject should consult the Honours Degree Coordinator through whom a suitable course of study can be arranged.
Minor in Statistics
The Minor in Statistics is available to students registered in the BA, BSc and BCS 120 credit hour major, honours or 90 credit hour minor programs.
BSc/BA (90 Credit hour) Minor in Statistics
The 90 credit hour Minor in Statistics is appropriate for students who want to study some Statistics but do not wish to complete the conventional four-year program. The degree is best suited for students who want a general science degree with some specialization in Statistics. A 90 credit hour degree program is not suitable for students who wish to pursue graduate studies. With additional study, the degree may be upgraded to a 120 credit hour Major or Honours degree at a later date.
A 90 credit hour BSc or BA in Statistics is usually the preferred option for students who wish to combine studies in Statistics with a degree in Engineering (see BSc/BEng or BA/BEng Concurrent Program).
BSc/BA (120 Credit hour) Minor in Statistics
The 120 credit hour Minor in Statistics is available to students registered in a Bachelor of Applied Computer Science, Bachelor of Arts, Bachelor of Commerce, Bachelor of Community Design, Bachelor of Computer Science, Bachelor of Informatics, Bachelor of Management, Bachelor of Music, Bachelor of Science or Bachelor of Science (Medical Sciences) program.
Requirements (Minor)
A minimum of 18 to a maximum of 36 credit hours in Statistics, which must include:
- MATH 1030.03: Matrix Theory and Linear Algebra
- 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
- At least one additional statistics1 course at the 2000 level or above (3 credit hours)
- At least one additional statistics course at the 3000 level or above (3 credit hours)
Statistics courses are any courses listed or cross-listed as STAT, (including STAT 3069). The following can also be counted as 2000 level statistics credit hours:
- MATH 2001.03: Intermediate Calculus
- MATH 2002.03: Intermediate Calculus II
- MATH 2040.03: Matrix Theory and Linear Algebra II or Math 2135.03 Linear Algebra
- BIOL 4062.03: Analysis of Biological Data
For more information or to see descriptions of the above courses, please visit the Minor in Statistics listing in the Academic Calendar.
Major in Statistics
The 120 credit hour Major in Statistics is suited to students who want to focus on Statistics, but wish to have a program that is somewhat less constrained than the Honours program.
BSc/BA (120 credit hour) Double Major in Statistics
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.
Requirements (Major)
In addition to fulfilling the requirements outlined in the Academic Regulations and College of Arts and Science Degree Requirements sections, students in a BSc or BA Major program in Statistics must complete the following courses:
1000 level
- MATH 1000.03: Differential and Integral Calculus I/MATH 1010.03: Differential and Integral Calculus II or MATH 1215.03: Life Sciences Calculus/MATH 1010.03: Differential and Integral Calculus II
- STAT 1060.03: Introductory Statistics for Science and Health Sciences1
- Math 1030.03: Matrix Theory and Linear Algebra I
2000 level
- MATH 2001.03: Intermediate Calculus I
- MATH 2002.03: Intermediate Calculus II or MATH 2505: Introductory Analysis or STAT 2450: Data Visualization
- MATH 2040.03: Matrix Theory and Linear Algebra II or MATH 2135.03: Linear Algebra
- CSCI 2202.03: Computer modelling for scientists
- STAT 2060.03: Introduction to Probability and Statistics
- STAT 2080.03: Statistical Methods for Data Analysis and Inference2
- STAT 2450.03: Introduction to Data Mining with R
3000 level
- STAT 3340.03: Regression and Analysis of Variance
- STAT 3360.03: Probability
- STAT 3460.03: Intermediate Statistical Theory
- One Statistics course (3 credit hours) at or above the 3000 level.
- One Statistics course (3 credit hours) at the 4000 level
- One of STAT 3350: Design of Experiments, STAT 3380: Sample Survey Methods, STAT 3450: Statistical Learning with R, STAT 3740: Predictive Analytics
1The requirement to take STAT 1060.03: Introductory Statistics for Science and Health Sciences may be waived for students entering the program in their second year.
2Some students may take STAT 2080.03 in the first year of their degree program.
3Statistics courses are any courses listed or cross-listed as STAT (with the exception of STAT 3069)
The following courses are also counted as Statistics credit hours:
MATH 2001.03: Intermediate Calculus I
MATH 2002.04: Intermediate Calculus II
MATH 2040.03: Matrix Theory and Linear Algebra II
Students interested in a double major with Statistics as the second subject should consult the Faculty Advisor through whom a suitable class of study can be arranged.
Requirements (Double Major)
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
Honours in Statistics
The Honours program in Statistics will provide students with a comprehensive knowledge of both theoretical and applied statistics and will enable students to move easily into challenging employment or Graduate Studies in Statistics.
Honours students must write a research-based Honours thesis. The research thesis and the Honours Qualifying Examination requirement are satisfied through completion of STAT 4950.03.
Admission to Honours
Students must APPLY for admission to Honours programs. Students considering Honours in Statistics should consult with a Statistics Honours Advisor early in their studies.
*Students interested in taking an Honours in Statistics program combined with another subject should consult the Statistics Advisor through whom a suitable course of study can be arranged.
Honours Requirements
In addition to fulfilling the requirements outlined in the Academic Regulations and College of Arts and Science Degree Requirements sections, students in a BSc or BA Major program in Statistics must complete the following courses:
1000 level
- MATH 1000.03: Differential and Integral Calculus I/MATH 1010.03: Differential and Integral Calculus II or MATH 1215.03: Life Sciences Calculus/MATH 1010.03: Differential and Integral Calculus II
- STAT 1060.03: Introductory Statistics for Science and Health Sciences1
- Math 1030.03: Matrix Theory and Linear Algebra I
2000 level
- MATH 2001.03: Intermediate Calculus I
- MATH 2002.03: Intermediate Calculus II or MATH 2505: Introductory Analysis or STAT 2450: Data Visualization
- MATH 2040.03: Matrix Theory and Linear Algebra II or MATH 2135.03: Linear Algebra
- CSCI 2202.03: Computer modelling for scientists
- STAT 2060.03: Introduction to Probability and Statistics
- STAT 2080.03: Statistical Methods for Data Analysis and Inference2
- STAT 2450.03: Introduction to Data Mining with R
3000 level
- STAT 3340.03: Regression and Analysis of Variance
- STAT 3360.03: Probability
- STAT 3460.03: Intermediate Statistical Theory
- One Statistics course (3 credit hours) at or above the 3000 level.
- One Statistics course (3 credit hours) at the 4000 level
- One of STAT 3350: Design of Experiments, STAT 3380: Sample Survey Methods, STAT 3450: Statistical Learning with R, STAT 3740: Predictive Analytics
1The requirement to take STAT 1060.03: Introductory Statistics for Science and Health Sciences may be waived for students entering the program in their second year.
2Some students may take STAT 2080.03 in the first year of their degree program.
3Statistics courses are any courses listed or cross-listed as STAT (with the exception of STAT 3069)
Combined Honours Requirements
Students interested in taking honours in Statistics combined with another subject should consult the Honours Degree Coordinator through whom a suitable course of study can be arranged.