Tackle the management challenges of the digital age and artificial intelligence. Develop your expertise in analytics and data science. Enhance your decision-making capabilities.
| Acquiring concepts for the development of models and advanced methods in optimization, modeling, statistics, machine learning, and deep learning. |
| Development of skills to address decision-making issues in management: building complex data or optimization models, analytics and problem-solving using programming languages and appropriate software. |
| Learning principles for optimizing business processes. |
| Professors renowned in Canada and abroad, in both the academic and business communities. |
A credit is a unit used to assign a numerical value to the workload required for students to meet the objectives of a given course. One credit represents 45 hours of work. Courses in the Québec university system are generally worth three credits each.
IVADO (research consortium in artificial intelligence) brings together industry professionals and academic researchers to develop expertise in the fields of data science, optimization (operational research) and artificial intelligence.
Many of the professors in this specialization are members of MILA, Montréal’s world-renowned centre for artificial intelligence research.
This data science and business analytics expertise is in demand across various management domains, such as finance, marketing, logistics, operations management, and human resources management.
Positions held by program graduates:
Graduate Diploma in Management – Data Science and Business Analytics allows you to continue your studies towards a Master of science (MSc) – Data Science and Business Analytics. Preparatory courses may be required.
You must pass 10 courses for a total of 30 credits.
International applicants
Apply in fall term to allow more time to obtain immigration documents (minimum 2 months). Please note, however, that it is possible to defer your admission to the following term free of charge if the deadlines are extended.
Select the education system in which you studied:
The amounts below are approximate. For the detailed amounts per credit or per term, see the tuition fee schedule (PDF, 107 Kb). These amounts do not include the cost of health insurance, course materials, housing, or other expenses.
Each term, you will receive a bill with the exact amount you owe based on your credit load.