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Statistics

A VARIETY OF PROGRAMS LEADING TO THE DEGREE OF BACHELOR OF SCIENCE. Statistics Undergraduate Advising information can be foundÌý.

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.Ìý

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/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,Ìý 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:

  • .03: Matrix Theory and Linear Algebra
  • .03: Introduction to Probability and Statistics
  • .03: Statistical Methods for Data Analysis and Inference
  • .03: Introduction to Data Mining with R
  • .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 ). The following can also be counted as 2000 level statistics credit hours:

  • .03: Intermediate Calculus
  • .03: Intermediate Calculus II
  • .03: Matrix Theory and Linear Algebra II or Math 2135.03 Linear Algebra
  • .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 .

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  and  sections, students in a BSc or BA Major program in Statistics must complete the following courses:

1000 level
  • .03: Differential and Integral Calculus I/.03: Differential and Integral Calculus II or .03: Life Sciences Calculus/.03: Differential and Integral Calculus II
  • .03: Introductory Statistics for Science and Health Sciences1
  • Math 1030.03: Matrix Theory and Linear Algebra I
2000 level
  • .03: Intermediate Calculus I
  • .03: Intermediate Calculus II or : Introductory Analysis or : Data Visualization
  • .03: Matrix Theory and Linear Algebra II or .03: Linear Algebra
  • .03: Computer modelling for scientists
  • .03: Introduction to Probability and Statistics
  • .03: Statistical Methods for Data Analysis and Inference2 
  • .03: Introduction to Data Mining with R
3000 level
  • .03: Regression and Analysis of Variance
  • .03: Probability
  • .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, : Sample Survey Methods, : Statistical Learning with R, : Predictive Analytics

1The requirement to take .03: Introductory Statistics for Science and Health Sciences may be waived for students entering the program in their second year.

 2Some students may take .03 in the first year of their degree program.

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


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  and sections.

Courses must include:

  • Math 1030.03: Matrix Theory and Linear Algebra I
  • .03: Intermediate Calculus I
  • .03: Introduction to Probability and Statistics
  • .03: Statistical Methods for Data Analysis and Inference
  • .03 Introduction to Data Mining with R
  • .03: Regression and Analysis of Variance
  • .03: Probability
  • .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 )

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

  • : Curves and Surfaces
  • : Introduction to Complex Variables
  • : Differential Equations
  • : Introduction to Wavelets
  • : Introduction to Numerical Analysis
  • MATH 3260: Applied Differential Equations
  • : Optimization
  • : Applied Graph Theory
  • MATH 3400: Classical Game Theory
  • MATH 3500X/Y.06: Intermediate Analysis
  • : Intermediate Analysis I
  • : Intermediate Analysis II
  • : 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 StudiesÌýin 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 StatisticsÌýprogramÌýcombined 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  and  sections, students in a BSc or BA Major program in Statistics must complete the following courses:

1000 level
  • .03: Differential and Integral Calculus I/.03: Differential and Integral Calculus II or .03: Life Sciences Calculus/.03: Differential and Integral Calculus II
  • .03: Introductory Statistics for Science and Health Sciences1
  • Math 1030.03: Matrix Theory and Linear Algebra I
2000 level
  • .03: Intermediate Calculus I
  • .03: Intermediate Calculus II or : Introductory Analysis or : Data Visualization
  • .03: Matrix Theory and Linear Algebra II or .03: Linear Algebra
  • .03: Computer modelling for scientists
  • .03: Introduction to Probability and Statistics
  • .03: Statistical Methods for Data Analysis and Inference2 
  • .03: Introduction to Data Mining with R
3000 level
  • .03: Regression and Analysis of Variance
  • .03: Probability
  • .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 : Design of Experiments, : Sample Survey Methods, : Statistical Learning with R, : Predictive Analytics

1The requirement to take .03: Introductory Statistics for Science and Health Sciences may be waived for students entering the program in their second year.

 2Some students may take .03 in the first year of their degree program.

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

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.Ìý

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/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,Ìý 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:

  • .03: Matrix Theory and Linear Algebra
  • .03: Introduction to Probability and Statistics
  • .03: Statistical Methods for Data Analysis and Inference
  • .03: Introduction to Data Mining with R
  • .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 ). The following can also be counted as 2000 level statistics credit hours:

  • .03: Intermediate Calculus
  • .03: Intermediate Calculus II
  • .03: Matrix Theory and Linear Algebra II or Math 2135.03 Linear Algebra
  • .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 .

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  and  sections, students in a BSc or BA Major program in Statistics must complete the following courses:

1000 level
  • .03: Differential and Integral Calculus I/.03: Differential and Integral Calculus II or .03: Life Sciences Calculus/.03: Differential and Integral Calculus II
  • .03: Introductory Statistics for Science and Health Sciences1
  • Math 1030.03: Matrix Theory and Linear Algebra I
2000 level
  • .03: Intermediate Calculus I
  • .03: Intermediate Calculus II or : Introductory Analysis or : Data Visualization
  • .03: Matrix Theory and Linear Algebra II or .03: Linear Algebra
  • .03: Computer modelling for scientists
  • .03: Introduction to Probability and Statistics
  • .03: Statistical Methods for Data Analysis and Inference2 
  • .03: Introduction to Data Mining with R
3000 level
  • .03: Regression and Analysis of Variance
  • .03: Probability
  • .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, : Sample Survey Methods, : Statistical Learning with R, : Predictive Analytics

1The requirement to take .03: Introductory Statistics for Science and Health Sciences may be waived for students entering the program in their second year.

 2Some students may take .03 in the first year of their degree program.

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


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  and sections.

Courses must include:

  • Math 1030.03: Matrix Theory and Linear Algebra I
  • .03: Intermediate Calculus I
  • .03: Introduction to Probability and Statistics
  • .03: Statistical Methods for Data Analysis and Inference
  • .03 Introduction to Data Mining with R
  • .03: Regression and Analysis of Variance
  • .03: Probability
  • .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 )

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

  • : Curves and Surfaces
  • : Introduction to Complex Variables
  • : Differential Equations
  • : Introduction to Wavelets
  • : Introduction to Numerical Analysis
  • MATH 3260: Applied Differential Equations
  • : Optimization
  • : Applied Graph Theory
  • MATH 3400: Classical Game Theory
  • MATH 3500X/Y.06: Intermediate Analysis
  • : Intermediate Analysis I
  • : Intermediate Analysis II
  • : 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 StudiesÌýin 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 StatisticsÌýprogramÌýcombined 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  and  sections, students in a BSc or BA Major program in Statistics must complete the following courses:

1000 level
  • .03: Differential and Integral Calculus I/.03: Differential and Integral Calculus II or .03: Life Sciences Calculus/.03: Differential and Integral Calculus II
  • .03: Introductory Statistics for Science and Health Sciences1
  • Math 1030.03: Matrix Theory and Linear Algebra I
2000 level
  • .03: Intermediate Calculus I
  • .03: Intermediate Calculus II or : Introductory Analysis or : Data Visualization
  • .03: Matrix Theory and Linear Algebra II or .03: Linear Algebra
  • .03: Computer modelling for scientists
  • .03: Introduction to Probability and Statistics
  • .03: Statistical Methods for Data Analysis and Inference2 
  • .03: Introduction to Data Mining with R
3000 level
  • .03: Regression and Analysis of Variance
  • .03: Probability
  • .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 : Design of Experiments, : Sample Survey Methods, : Statistical Learning with R, : Predictive Analytics

1The requirement to take .03: Introductory Statistics for Science and Health Sciences may be waived for students entering the program in their second year.

 2Some students may take .03 in the first year of their degree program.

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

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.