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Next Cohort: Apr 6-Apr 7

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Duration

2 days

Tuition

$3,300

  Toronto

Apr 6-Apr 7

Commitment

Full-Time

Delivery

Classroom

Year Founded

1919

Scholarships

yes

This 2-day program focuses specifically on the principles of business accounting covered in our 5-day Finance for the Non-Financial Manager program. It is designed to provide a deeper understanding of accounting for people from other functional areas. Our experienced faculty will de-mystify accounting principles, helping you to understand and analyze financial statements, and to use accounting tools to make better business decisions. Session leaders present the material in a straightforward and engaging format that makes complex accounting concepts easy to understand.

What You’ll Learn 

  • Interpret accounting reports
  • Use accounting tools to make better business decisions
  • Engage in more productive communication with accounting and finance managers
  • Understand the financial impact of business decisions

Ready to get started?

Next Cohort: Apr 6-Apr 7

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Student Reviews (1)

Smith School of Business at Queen's University

Life changing degree

Toronto •

Graduated From

Master of Management Analytics

Overall:

5 out of 5

Instructors:

5 stars

Curriculum:

5 stars

Job Assistance:

5 stars

My MMA program meets Wednesdays and Saturdays, and is nicely balanced between analytics and business and management training.

The profs are world-class - just amazing! - and know how to make learning fun. The staff are also incredible and will g...

My MMA program meets Wednesdays and Saturdays, and is nicely balanced between analytics and business and management training.

The profs are world-class - just amazing! - and know how to make learning fun. The staff are also incredible and will go above and beyond to set you up with great job opportunities, even though the Smith School already has a sterling reputation with employers.

As a part-time program, I was worried the pace would be too slow, but students get 24/7 access to DataCamp, an interactive learning platform for data science. (This is how I became an R & Python whiz.)

I had 6 interviews and 4 offers just before I graduated (I was in the upper 20% of my class). I'm also a driven networker. But I simply couldn't have done it without the motivation, learning and support I received through the MMA program.

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