Master of Management Analytics

Minimum Admission Requirements

• Applicants are admitted under the General Regulations of the School of Graduate Studies. Applicants must also satisfy the Rotman School's additional admission requirements stated below.

• Appropriate four-year undergraduate degree or equivalent: Given the nature of the MMA program, degrees in Computer Science, Statistics, Mathematics, Engineering, Physical Science, Economics, and Commerce will be preferred, but degrees from any program where there is a significant quantitative and computational component will be considered.

• Quantitative proficiency: Evidence of a high level of proficiency (a minimum B average) in quantitative subjects at the university level is required, for example, calculus, linear algebra, and probability and statistics, among others. In cases where evidence of quantitative proficiency is not obvious, applicants must provide supplemental evidence.

• Computational proficiency: Demonstrated proficiency in Python coding. All offers of admission will be conditional on successful completion of an assessment of Python coding.

• Prerequisite knowledge in foundations of finance and financial accounting, usually demonstrated through the completion of university-level courses. Applicants who have not completed courses in one or both of these subject areas may be offered admission conditional on successful completion of program-approved online courses and qualifying examinations that will demonstrate the applicant's equivalent knowledge. Conditional offers are made to prospective students who have satisfied all other admission requirements.

• English-language proficiency: Applicants must demonstrate the ability to communicate in English in one of the following ways:

  • An undergraduate or graduate degree from a university at which the language of instruction and examination was English.

  • Applicants whose primary language is not English and who graduated from a university where the language of instruction is not English must achieve a Test of English as a Foreign Language (TOEFL) score of at least 100. The International English Language Testing System (IELTS) may be considered with a minimum score of 7.0 required.

• Two academic references.

• Essays (written essay, video questions, and real-time written response).

• Demonstration of academic ability; a high Graduate Management Admission (GMAT) or Graduate Record Examination (GRE) score is encouraged, though it is not mandatory.

• All successful applicants are expected to demonstrate effective oral and written communication skills.

• Applicants who meet all the criteria will be assessed on the basis of their application essays, answers to the video questions, grades, and references by the admissions committee.

• Selected applicants will then be invited for an admission interview. The admission decision will be based on both submitted materials and interview performance.

Completion Requirements

• Within this three-session program, students must successfully complete a sequence of 7.5 full-course equivalents (FCEs) (15 half-course equivalents). No advanced standing will be granted for previous academic work completed or professional designations earned. Students who are unable to follow courses in their prescribed order must attain special approval from the Academic Director in order to continue in the program.

  • 6.0 FCEs (12 half-course equivalents) are mandatory for all MMA students and are completed as a structured sequence of courses as follows:

    • RSM8411H Structuring and Visualizing Data for Analytics

    • RSM8413H Machine Learning Analytics

    • RSM8414H Tools for Probabilistic Models and Prescriptive Analytics

    • RSM8421H AI and Deep Learning Tools

    • RSM8430H Applications of Large Language Models

    • RSM8431Y Analytics Colloquia

    • RSM8432Y Management Analytics Practicum

    • RSM8512H Modeling Tools for Predictive Analytics

    • RSM8601H MMA Self Development Lab

    • RSM8901H Analytics in Management.

  • 1.5 FCEs (3 half-course equivalents) chosen from the following list. Note: not all electives are offered each year.

    • RSM8001H Causal Identification for Management Analysis

    • RSM8002H The Analytics of Talent Strategy

    • RSM8244H Analytic Insights Using Accounting and Financial Data

    • RSM8341H Analytical Methods in Finance

    • RSM8443H Optimizing Supply Chain Management and Logistics

    • RSM8445H Service Analytics for Management Analysis

    • RSM8446H Healthcare Analytics

    • RSM8542H Analytics for Marketing Strategy.

Mode of Delivery: In person
Program Length: 4 sessions full-time (typical registration sequence: FWS-F)
Time Limit: 3 years full-time