Business Menu
Bachelor of Arts - Mathematics and Economics Major
The Major in Mathematics and Economics requires the completion of at least 66 credits in Economics, Mathematics and Statistics, of which a maximum of 30 credits must be at the upper level (300 and 400 levels) and no less than 6 credits must be at the 400 level.
Lower level requirements (36 credits)
MATH 1130
MATH 1140 |
Enriched Calculus 1
or
Calculus 1 |
MATH 1230
MATH 1240 |
Enriched Calculus
or
Calculus 2 |
MATH 1700 | Discrete Mathematics 1 |
ECON 1900 | Principles of Microeconomics |
ECON 1950 | Principles of Macroeconomics |
STAT 2000
ECON 2320 |
Introduction to Statistics
or
Statistics for Business and Economics 1 |
MATH 2110 | Calculus 3 |
MATH 2120 | Linear Algebra 1 |
MATH 2240 | Differential Equations 1 |
MATH 2700 | Discrete Mathematics 2 |
ECON 2900 | Intermediate Microeconomic Theory 1 |
ECON 2950 | Intermediate Macroeconomic Theory 2 |
Upper level requirements (30 Credits)
ECON 3200 | Introduction to Mathematical Economics |
ECON 3900 | Intermediate Microeconomics 2 |
ECON 3950 | Intermediate Macroeconomics 2 |
ECON 4320 | Econometrics |
ECON 4330 | Forecasting in Business and Economics |
Depending on a student's interests and qualifications, one of the following streams should be chosen:
Mathematics stream
STAT 3060 | Applied Regression Analysis |
MATH 3160 | Differential Equations 2 |
MATH 3400 | Introduction to Linear Programming |
MATH 4410 | Modeling of Discrete Optimization Problems |
Upper level MATH elective (3000 or 4000 level) |
Statistics stream
MATH 3020 | Introduction to Probability |
MATH 3030 | Introduction to Stochastic Processes |
MATH 3050 | Introduction to Statistical Inference |
MATH 3060 | Applied Regression Analysis |
STAT 4040 | Analysis of Variance |
General stream
STAT 3060 | Applied Regression Analysis |
Plus at least four of: | |
MATH 3020 | Introduction to Probability |
MATH 3030 | Introduction to Stochastic Processes |
STAT 3050 | Introduction to Statistical Inference |
MATH 3160 | Differential Equations 2 |
MATH 3400 | Introduction to Linear Programming |
STAT 4040 | Analysis of Variance |
MATH 4410 | Modeling of Discrete Optimization Problems |
Upper level MATH elective (3000 or 4000 level) |