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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) | |
