Program Fees

The next May session begins on May 1st 2021

Payment Type	Due Date	Domestic	International
Deposit	Upon Acceptance	$2,000**	$2,000**
1st Installment	May 1, 2021	$12,483	$23,583
2nd Installment	Sept 1, 2021	$14,483	$25,583
3rd Installment	Jan 1, 2022	$14,483	$25,583
TOTAL		$43,450	$76,750

The program fee is all-inclusive, covering tuition, accommodations and meals for residential sessions, books, all learning materials, coaching and student assistance levy (SAL)

Travel and Accommodation Costs

Accommodation and meals for residential sessions are included in program fees. Travel costs are not included. Students are responsible for all travel arrangements and meeting any travel requirements.

All figures in CAD.

International students may be required to purchase the University Health Insurance Plan (UHIP) if they cannot provide evidence of equivalent coverage.

All Queen’s University students are also assessed a Student Assistance Levy of $33.33 per term; which has been included in the program fee.

A person is classified as a domestic student if they have Canadian citizenship, landed immigrant status, permanent resident status or dual Canadian citizenship.

Fees are subject to final approval from the Queen’s Board of Trustees.

**Non-refundable

Curriculum

The Master of Management Analytics – Toronto marries training in core data analytics concepts and tools, with outstanding education in business strategy and management. It includes extensive review of the fundamental mathematical and statistical theories and methods that underlie modern analytics, but with a practitioner focus.

Acquisition & Management of Data

This course will focus on the data management techniques frequently used as a precursor to analysis with ‘real world data’. Topics include database structures, SQL, data cleaning, merging and filtering, detecting and correcting errors. The course will also cover the application of visualization to developing and telling stories with data with data visualization techniques.

Technical Training

Students will be exposed to a variety of tools and programming languages including SAS, R, Python, Tableau, Hadoop, and Spark.

MMA students have access to LinkedIn Learning, previously known as Lynda.com. LinkedIn Learning is an online learning platform that offers training on topics such as software, technology, business and creative skills. Containing the full Lynda.com library, LinkedIn Learning provides thousands of current, high-quality courses.

Courses are taught by experts and range from importing data and data visualization to machine learning, deep learning, and more.