Specializations
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 offerings change from year to year. This sample stream is not reflective of a guaranteed curriculum but is instead an example of what a curriculum could look like in a given year.
With supervisor approval, students can select MGMT specialization courses from other area groups. Electives can be any other MGMT course or a course from another department at the supervisor’s discretion.
Course descriptions are available on the School of Graduate Studies and Postdoctoral Affairs website. Any non-MGMT courses are linked below.
Sample Analytics MSc Curriculum
| Course | Credits |
|---|---|
| Core | |
| MGMT 801 Research Foundations | Pass/Fail |
| MGMT 898 Major Research Project | Pass/Fail |
| Specialization – MGMT | |
| MGMT 860 Deterministic Operations Research Models | 3 |
| MGMT 865 Analysis of Supply Chains | 3 |
| Electives – Supervisor Approved MGMT or Other Department | |
| MGMT 962 Big Data Analytics (or other elective) | 3 |
| MGMT 963 Machine Learning and Artificial Intelligence (or other elective) | 3 |
| Methods/Related Field | |
| MGMT 890 Econometrics Methods | 3 |
| MGMT 988 Applied Statistics and Econometrics | 3 |
| Total Credits | 18 |
Sample Year 2 PhD Curriculum
| Course | Credits |
|---|---|
| Core | |
| MGMT 993 Teaching and Learning in Management and Business | Pass/Fail |
| MGMT 994 Upper Year Research Presentation | Pass/Fail |
| Specialization – MGMT | |
| MGMT 961 Probabilistic Operations Research Models | 3 |
| MGMT 964 Advanced Topics in Analytics | 3 |
| Methods/Related Field | |
| MGMT XXX / CISC XXX | 3 |
| Total Credits | 9 |
Examples of possible electives from other departments for the Analytics specialization include:
“My supervisor encouraged me to combine my quantitative background with market research and qualitative skills. After graduating and entering the management consulting industry, I realized how powerful this combination was. My strengths in both areas lead to increasingly senior roles within the pharmaceutical and healthcare industries. I believe that when analytics is done right, it should drive company strategy. In my current role at Abbott Diagnostics, I am at the forefront of changing company culture as it relates to data and strategy. My mission is to expand the horizon of how people think and use analytics to improve business results and to elevate the importance of analytics and where it needs to be in the organization. The MSc program gave me the skills and the right mindset to drive that change.”
Global Head, Strategic Insights
Abbott Diagnostics
Chicago, Ill.