MSC3110
AI IN COMMUNICATIONS
- Department
- Master of Sci in Comm
- Terms offered
- 3
- Data refreshed
- Jun 27, 2026
Description
This course explores the transformative role of Artificial Intelligence (AI) in the field of communications. It demonstrates how AI is shaping the way messages are crafted, disseminated, and consumed across various communication channels. Through a combination of theoretical insights and hands-on experience with AI tools, students will learn to leverage AI in creating content, analyzing data, automating communication processes, and enhancing engagement strategies. The course covers a wide range of applications including AI-driven content generation, AI in internal communications, AI in public relations, AI in audience targeting and AI in personalization of messaging. By the end of the course, students will be well-equipped to harness AI in their communication strategies, with a focus on ethical considerations and future trends.
Syllabi
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Offering history & forecast 2025–2026
| Year | Fall | Spring | Summer | Intersession |
|---|---|---|---|---|
| 2030 | 2030 Fall: not enough history to forecast. | 2030 Spring: not enough history to forecast. | 2030 Summer: 7% chance, medium confidence. Offered in 0 of 9 summer terms since 2018. | 2030 Intersession: 8% chance, medium confidence. Offered in 0 of 6 intersession terms since 2020. |
| 2029 | 2029 Fall: not enough history to forecast. | 2029 Spring: not enough history to forecast. | 2029 Summer: 6% chance, medium confidence. Offered in 0 of 10 summer terms since 2017. | 2029 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2028 | 2028 Fall: not enough history to forecast. | 2028 Spring: not enough history to forecast. | 2028 Summer: 5% chance, medium confidence. Offered in 0 of 11 summer terms since 2016. | 2028 Intersession: 7% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2027 | 2027 Fall: not enough history to forecast. | 2027 Spring: not enough history to forecast. | 2027 Summer: 5% chance, high confidence. Offered in 0 of 12 summer terms since 2015. | 2027 Intersession: 6% chance, medium confidence. Offered in 0 of 7 intersession terms since 2017. |
| 2026 | 1 section | 1 section | Not offered | No data for this term |
| 2025 | 1 section | Not offered | Not offered | Not offered |
Future estimates combine recent offering frequency with detected multi-year cycles. Hover a cell for confidence and evidence; low-confidence estimates are marked with ~.
Meeting times
Most recent first- Tue, 6:30 PM–9:30 PM ONLINE 20262025
| Term | Professor | Type | Credits | Enrollment | CRN |
|---|---|---|---|---|---|
| Fall 2026 | Jonathan S. Leiberman | Online | 1 | 1 of 25 enrolled | 24168 |
| Spring 2026 | Jonathan S. Leiberman | Online | 1 | 18 of 25 enrolled | 34848 |
| Fall 2025 | Jonathan S. Leiberman | Online | 1 | 14 of 25 enrolled | 24168 |