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Bachelor of Science - 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 (3000 and 4000 levels) and no less than six credits must be at the 4000 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 |
| STATS 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) | |
