120-Credit Program, Freshman Course Distribution
Students admitted to a program requiring 97–120 credits (four years) register in a Freshman year (U0) in which they must complete the following for a total of:
30 Credits
- U0 Required Courses – 12 credits (see chart below)
- U0 Complementary Courses – 9 credits (see thematic selection from C1, C2 or C3 below)
- U0 Elective Courses – 9 credits
A minimum grade of C is required for all MATH and Freshman complementary courses, as well as BUSA 100 and BUSA 250.
Advanced Standing students with less than 24 credits have the option of taking BUSA 100 and BUSA 250. Advanced Standing students with 24 or more credits are not eligible to take BUSA 100 and BUSA 250. Students with Advanced Standing must meet with an academic adviser.
Please note that you are responsible for ensuring that the prerequisites and corequisites of all courses (required and complementary) are satisfied.
The Freshman Course Distribution is as follows:
U0 Required Courses (12 credits) | ||
---|---|---|
MATH 1221 | (3) | Calculus for Management |
MATH 1231 | (3) | Linear Algebra and Probability |
BUSA 100 | (3) | Introduction to Management |
BUSA 250 | (3) | Expressive Analysis for MGMT |
U0 Complementary Courses (9 credits)
9 credits in total must be selected from the following three categories. Courses must be chosen from at least two groups.
- C1. Society, Culture & Language
- C2. Critical Thinking & Analysis
- C3. Global Perspective & Environment
Course listings can be found at the Desautels Faculty of Management's website at: www.mcgill.ca/desautels/programs/bcom/academics/programstructure/120-credit-program.
U0 Elective Courses (9 credits)
All Electives are subject to the restrictions for non-Management electives.
Program Footnote:
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Students with credit/exemption for MATH 140 are exempt from MATH 122. However, MATH 122 does not exempt students required to take MATH 140 for specific programs.
Students considering the Major or Minor in Mathematics or Statistics; Honours or Joint Honours program in Economics; or Minor Concentration in Computer Science: