BEX3726 Engaging with international business - Data science and AI at HEC Montreal
Faculty of Business and Economics
BEX3726 Engaging with international business - Data science and AI at HEC Montreal is a level 3, 6-credit-point, undergraduate unit from the Faculty of Business and Economics. It isn't offered in 2023. It has no prerequisites.
- Credit points
- 6
- Offered in 2023
- Not offered
- Assessment
- No exam
- 1 task
- Workload
- 144 hours
- per semester
This is the 2023 handbook entry. See the 2027 entry.
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Requisites
Before BEX3726
No prerequisites or corequisites besides the enrolment rules below.
After BEX3726
No unit lists BEX3726 as a prerequisite in the 2023 handbook.
Enrolment rules
You must have completed 72 Monash credit points of study to undertake this unit.
Enrolment in this unit is subject to an application process. More information on this unit is available here.
Overview
Artificial intelligence (AI) and big data are playing an increasingly important role in all aspects of modern business. They are a key driver shaping day-to-day business process and decision-making. This two-week intensive unit is designed and taught by faculty and industry leaders at HEC Montreal. Taking both a theoretical and practical approach to AI and Data Science, including industry visits, the unit explores a variety of topics including the fourth industrial revolution, ethics and governance, and deep learning.
Offerings in 2023
The 2023 handbook lists no offerings for BEX3726.
Assessment
- Within semester assessment100%
Learning outcomes
When you finish this unit, you should be able to:
- 1
apply practical programming skills and theories of data science to real datasets
- 2
use theories of data science through case studies and site visits to evaluate the impact of AI on the future of business and society
- 3
acquire team skills including team leadership, collaboration, problem-solving, decision-making, communication and presentation skills
- 4
develop reflective practice skills in relation to individual learning.
Workload and teaching
Minimum total expected workload to achieve the learning outcomes for this unit is 144 hours per semester typically comprising a mixture of scheduled learning activities and independent study. Independent study may include associated readings, assessment and preparation for scheduled activities. The unit requires on average three/four hours of scheduled activities per week. Scheduled activities may include a combination of teacher directed learning, peer directed learning and online engagement.
Where it fits
BEX3726 is part of 2 areas of study in the 2023 handbook.
Common questions
What are the prerequisites for BEX3726?
BEX3726 has no prerequisites, but enrolment rules apply.
When is BEX3726 offered?
BEX3726 has no offerings listed in the 2023 handbook.
How much work is BEX3726?
The handbook expects about 144 hours of study across the semester. No students have rated its difficulty yet.
Does BEX3726 have an exam?
No. BEX3726 has 1 assessment task and no exam.
Which majors and minors include BEX3726?
BEX3726 is part of Business analytics.