Areas of Specialization
MSc in Analytics
Students in this specialization first develop a grounding in data science, machine learning, operations research and solving prescriptive analytics programs, followed by the opportunity to focus on applications in the areas of revenue management, operations and supply-chain management. Graduates of this specialization are well prepared to pursue PhD studies as well as research-based careers in consulting, financial services or logistics.
Is this Specialization for you?
Discover how this program aligns with your academic or research oriented career goals. Request a virtual one-on-one meeting with a member of our program team.
Recommended Undergraduate Degrees
- Bioinformatics
- Business or Commerce
- Computer Science
- Data Science
- Economics
- Engineering
- Math or Stats
- Physics
- Other degrees on a case-by-case basis
Program Structure and Content
This is a 12-month program beginning in September. Each student is required to complete the following courses and a research project of publishable quality. Course work completion consists of the following:
| Course | Credits | |
|---|---|---|
| Deterministic Operations Research Models (MGMT 860) | 3 | |
| Probabilistic Operations Research Models (MGMT 861) | 3 | |
| Applied Statistics and Econometrics (MGMT 988) or elective | 3 | |
| Advanced Topics in Analytics (MGMT 964) / Analysis of Supply Chains (MGMT 965) (Offered alternate years, one of the two is required) |
3 | |
| Big Data Analytics (MGMT 962) / Machine Learning and Artificial Intelligence (MGMT 963) (Offered alternate years, one of the two is required) |
3 | |
| Econometric Methods (MGMT 890) or elective | 3 | |
|
Major Research Project (MGMT 898) |
||
*Students must select MGMT 988 or MGMT 990