Mathematics and Statistics
ufv.ca/mathIn a data-rich and quantitative world, decisions and arguments are based on numerical evidence, whether gathered by survey, experiment, or business procedures. The Applied Statistics minor prepares students with the tools and background knowledge necessary to properly collect, analyze, and present that data, and use it to make good decisions and reach sound conclusions.
The program is designed to allow entry from widely varying mathematical backgrounds (no calculus course required), and to provide students with basic competence in the applied statistical modeling and analysis techniques needed in modern business, industry, policy research, and other careers.
This minor is for students whose primary specialization is in a field where a strong working knowledge of applied statistics is required or beneficial for employment or further studies.
This section specifies only the requirements for the Applied Statistics minor, which may be completed as an option in the Bachelor of Arts, Bachelor of Science, Bachelor of Computing Information Systems, Bachelor of Arts in Criminal Justice, Bachelor of Integrated Studies, Bachelor of Business Administration, Bachelor of Kinesiology, and Bachelor of Agricultural Science. Students in other degree programs should check the program information in the calendar to determine whether the Applied Statistics minor is an option in that program. Please refer to the appropriate degree section for information on additional requirements.
Note: Because of substantial content overlap between the Applied Statistics minor and the Mathematics minor (Statistics option), students cannot combine these two specializations.
Students may declare an Applied Statistics minor after completion of 30 credits, including the prerequisites for STAT 271, with a CGPA of 2.00.
Course | Title | Credits |
STAT 106 | Statistics I | 4 |
or STAT 270/MATH 270 | Introduction to Probability and Statistics (see Note) | |
STAT 271 | Introduction to Data Analysis and Statistical Modeling | 3 |
STAT 272 | Statistical Graphics and Languages | 3 |
Course | Title | Credits |
STAT 315 | Applied Regression Analysis | 3 |
Four of: | 12 | |
STAT 307 | Data Visualization | |
STAT 330 | Design of Experiments | |
STAT 350 | Survey Sampling | |
STAT 370/ MATH 370 | Probability and Stochastic Processes (see Note) | |
STAT 402 | Applied Generalized Linear Models and Survival Analysis | |
STAT 420 | Empirical and Non-Parametric Statistics | |
STAT 430 | Time Series and Forecasting | |
STAT 431/ COMP 431 | Data Mining | |
STAT 450/ MATH 450 | Statistical Theory (see Note) | |
STAT 470 | Applied Multivariate Statistical Analysis | |
STAT 488 | Selected Topics in Statistics |
Note: STAT 270/MATH 270, STAT 370/MATH 370, and STAT 450/MATH 450 require a calculus course as a prerequisite. Please consult the course descriptions for these courses for details on the prerequisites.
Students using STAT 270/MATH 270 to fulfill the lower-level course requirements will not be able to take this course in the first year of the program, because it has a prerequisite of MATH 112. Below are two examples of program plans: one for students using STAT 106 to fulfill their lower-level course requirement, and the other for students using STAT 270/MATH 270 to fulfill their lower-level course requirement.
For complete details on courses see the course descriptions section.